{"id":9368,"date":"2025-03-05T12:04:53","date_gmt":"2025-03-05T10:04:53","guid":{"rendered":"https:\/\/aixbrain.pwdev.de\/dataray\/"},"modified":"2025-04-15T11:35:39","modified_gmt":"2025-04-15T09:35:39","slug":"dataray","status":"publish","type":"page","link":"https:\/\/aixbrain.pwdev.de\/en\/dataray\/","title":{"rendered":"Dataray"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"9368\" class=\"elementor elementor-9368 elementor-8332\" data-elementor-post-type=\"page\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-b29ae4a elementor-section-stretched elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"b29ae4a\" data-element_type=\"section\" data-settings=\"{&quot;jet_parallax_layout_list&quot;:[],&quot;stretch_section&quot;:&quot;section-stretched&quot;}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-b45d48a\" data-id=\"b45d48a\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-be7cfab elementor-widget__width-auto elementor-widget elementor-widget-heading\" data-id=\"be7cfab\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h6 class=\"elementor-heading-title elementor-size-default\">Artificial Intelligence for Machines<\/h6>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-283443e elementor-widget__width-initial elementor-widget elementor-widget-heading\" data-id=\"283443e\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Dataray\u00ae\n<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3fcc867 elementor-widget elementor-widget-heading\" data-id=\"3fcc867\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">The Fastest Path to Operational AI<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7434fe8 elementor-widget__width-initial elementor-widget elementor-widget-text-editor\" data-id=\"7434fe8\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Dataray\u00ae is a <b>complete MLOps framework<\/b>, built for industrial applications. It supports all common time-series AI use cases and is designed for <b>maximum performance and reliability<\/b>.<\/p><p><span style=\"color: var( --e-global-color-secondary );\">Dataray\u00ae trains<\/span> <span style=\"color: var( --e-global-color-secondary );\" data-start=\"238\" data-end=\"323\">AI models, scales them across all machines, and monitors them in the production phase while<\/span><span style=\"color: var( --e-global-color-secondary );\">\u00a0aiXbrain takes care of setup and updates. This is the<b> ideal solution<\/b> for anyone looking to enhance their machines and processes with AI <\/span> <span style=\"color: var( --e-global-color-secondary );\" data-start=\"361\" data-end=\"459\"> without <b>expensive<\/b> <\/span><span style=\"color: var( --e-global-color-secondary );\"><strong>in-house development<\/strong>.<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-8bd8d8a e-grid e-con-full e-con e-parent\" data-id=\"8bd8d8a\" data-element_type=\"container\" data-settings=\"{&quot;jet_parallax_layout_list&quot;:[]}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-9ff90c5 elementor-widget-mobile__width-inherit elementor-widget__width-initial elementor-icon-list--layout-traditional elementor-list-item-link-full_width elementor-widget elementor-widget-icon-list\" data-id=\"9ff90c5\" data-element_type=\"widget\" data-widget_type=\"icon-list.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<ul class=\"elementor-icon-list-items\">\n\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item\">\n\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-icon\">\n\t\t\t\t\t\t\t<svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-check\" viewBox=\"0 0 512 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M173.898 439.404l-166.4-166.4c-9.997-9.997-9.997-26.206 0-36.204l36.203-36.204c9.997-9.998 26.207-9.998 36.204 0L192 312.69 432.095 72.596c9.997-9.997 26.207-9.997 36.204 0l36.203 36.204c9.997 9.997 9.997 26.206 0 36.204l-294.4 294.401c-9.998 9.997-26.207 9.997-36.204-.001z\"><\/path><\/svg>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text\">No development needed, fair runtime costs<\/span>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item\">\n\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-icon\">\n\t\t\t\t\t\t\t<svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-check\" viewBox=\"0 0 512 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M173.898 439.404l-166.4-166.4c-9.997-9.997-9.997-26.206 0-36.204l36.203-36.204c9.997-9.998 26.207-9.998 36.204 0L192 312.69 432.095 72.596c9.997-9.997 26.207-9.997 36.204 0l36.203 36.204c9.997 9.997 9.997 26.206 0 36.204l-294.4 294.401c-9.998 9.997-26.207 9.997-36.204-.001z\"><\/path><\/svg>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text\">Full data and AI model ownership<\/span>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t<\/ul>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-8392b00 elementor-widget-mobile__width-inherit elementor-widget__width-initial elementor-icon-list--layout-traditional elementor-list-item-link-full_width elementor-widget elementor-widget-icon-list\" data-id=\"8392b00\" data-element_type=\"widget\" data-widget_type=\"icon-list.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<ul class=\"elementor-icon-list-items\">\n\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item\">\n\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-icon\">\n\t\t\t\t\t\t\t<svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-check\" viewBox=\"0 0 512 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M173.898 439.404l-166.4-166.4c-9.997-9.997-9.997-26.206 0-36.204l36.203-36.204c9.997-9.998 26.207-9.998 36.204 0L192 312.69 432.095 72.596c9.997-9.997 26.207-9.997 36.204 0l36.203 36.204c9.997 9.997 9.997 26.206 0 36.204l-294.4 294.401c-9.998 9.997-26.207 9.997-36.204-.001z\"><\/path><\/svg>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text\">Industry-proven AI models                                                                    <\/span>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item\">\n\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-icon\">\n\t\t\t\t\t\t\t<svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-check\" viewBox=\"0 0 512 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M173.898 439.404l-166.4-166.4c-9.997-9.997-9.997-26.206 0-36.204l36.203-36.204c9.997-9.998 26.207-9.998 36.204 0L192 312.69 432.095 72.596c9.997-9.997 26.207-9.997 36.204 0l36.203 36.204c9.997 9.997 9.997 26.206 0 36.204l-294.4 294.401c-9.998 9.997-26.207 9.997-36.204-.001z\"><\/path><\/svg>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text\">Buy or rent instead of in-house development<\/span>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t<\/ul>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-2acc465\" data-id=\"2acc465\" data-element_type=\"column\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-0581a1a e-transform elementor-widget elementor-widget-image\" data-id=\"0581a1a\" data-element_type=\"widget\" data-settings=\"{&quot;_transform_scale_effect_hover&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:1.1,&quot;sizes&quot;:[]},&quot;_transform_scale_effect_hover_tablet&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:&quot;&quot;,&quot;sizes&quot;:[]},&quot;_transform_scale_effect_hover_mobile&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:&quot;&quot;,&quot;sizes&quot;:[]}}\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img fetchpriority=\"high\" decoding=\"async\" width=\"800\" height=\"442\" src=\"https:\/\/aixbrain.pwdev.de\/wp-content\/uploads\/2025\/02\/Homepage_Dataray-Screenshot-Clip_1.gif\" class=\"attachment-large size-large wp-image-9314\" alt=\"\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-0a3fce3 elementor-section-stretched elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"0a3fce3\" data-element_type=\"section\" data-settings=\"{&quot;jet_parallax_layout_list&quot;:[],&quot;stretch_section&quot;:&quot;section-stretched&quot;}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-1b4850d\" data-id=\"1b4850d\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-5ad4aa9 elementor-widget__width-auto elementor-widget elementor-widget-heading\" data-id=\"5ad4aa9\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h6 class=\"elementor-heading-title elementor-size-default\">AI Apps for Machine Builders<\/h6>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-32bde2e elementor-widget__width-auto elementor-widget elementor-widget-heading\" data-id=\"32bde2e\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Dataray\u00ae AI on Platforms<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1a2156e elementor-widget elementor-widget-heading\" data-id=\"1a2156e\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Scalable Industrial Intelligence<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-4d0b8ac elementor-widget__width-initial elementor-widget elementor-widget-text-editor\" data-id=\"4d0b8ac\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Unlock the full potential of your machine data with <span data-start=\"114\" data-end=\"133\"><b>Dataray\u00ae AI Apps <\/b>on<\/span><span data-start=\"148\" data-end=\"194\"> your data plattform<\/span>. Whether your use case is <span data-start=\"199\" data-end=\"225\">Predictive Maintenance, <\/span><span data-start=\"231\" data-end=\"253\">Predictive Quality oder Process Optimization, <\/span>our apps run on the powerful <span data-start=\"302\" data-end=\"323\">Dataray\u00ae Framework und<\/span> can be fully <b>customized and trained with your own data<\/b>.<\/p><p><span data-start=\"397\" data-end=\"484\" data-is-last-node=\"\">The <b>perfect solution<\/b> for companies that have already connected their machines to a condition monitoring system or data platform. And the key to <b>new service offerings and AI-driven business models.<\/b> <\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-71e0284 e-grid e-con-full e-con e-parent\" data-id=\"71e0284\" data-element_type=\"container\" data-settings=\"{&quot;jet_parallax_layout_list&quot;:[]}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-06785e0 elementor-widget-mobile__width-inherit elementor-widget__width-initial elementor-icon-list--layout-traditional elementor-list-item-link-full_width elementor-widget elementor-widget-icon-list\" data-id=\"06785e0\" data-element_type=\"widget\" data-widget_type=\"icon-list.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<ul class=\"elementor-icon-list-items\">\n\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item\">\n\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-icon\">\n\t\t\t\t\t\t\t<svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-check\" viewBox=\"0 0 512 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M173.898 439.404l-166.4-166.4c-9.997-9.997-9.997-26.206 0-36.204l36.203-36.204c9.997-9.998 26.207-9.998 36.204 0L192 312.69 432.095 72.596c9.997-9.997 26.207-9.997 36.204 0l36.203 36.204c9.997 9.997 9.997 26.206 0 36.204l-294.4 294.401c-9.998 9.997-26.207 9.997-36.204-.001z\"><\/path><\/svg>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text\">SaaS subscription model<\/span>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item\">\n\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-icon\">\n\t\t\t\t\t\t\t<svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-check\" viewBox=\"0 0 512 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M173.898 439.404l-166.4-166.4c-9.997-9.997-9.997-26.206 0-36.204l36.203-36.204c9.997-9.998 26.207-9.998 36.204 0L192 312.69 432.095 72.596c9.997-9.997 26.207-9.997 36.204 0l36.203 36.204c9.997 9.997 9.997 26.206 0 36.204l-294.4 294.401c-9.998 9.997-26.207 9.997-36.204-.001z\"><\/path><\/svg>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text\">Whitelabel option for new business models<\/span>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t<\/ul>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-17d09c8 elementor-widget-mobile__width-inherit e-transform elementor-icon-list--layout-traditional elementor-list-item-link-full_width elementor-widget elementor-widget-icon-list\" data-id=\"17d09c8\" data-element_type=\"widget\" data-settings=\"{&quot;_transform_translateX_effect_mobile&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:0,&quot;sizes&quot;:[]},&quot;_transform_translateY_effect_mobile&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:-34,&quot;sizes&quot;:[]},&quot;_transform_translateX_effect&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:&quot;&quot;,&quot;sizes&quot;:[]},&quot;_transform_translateX_effect_tablet&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:&quot;&quot;,&quot;sizes&quot;:[]},&quot;_transform_translateY_effect&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:&quot;&quot;,&quot;sizes&quot;:[]},&quot;_transform_translateY_effect_tablet&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:&quot;&quot;,&quot;sizes&quot;:[]}}\" data-widget_type=\"icon-list.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<ul class=\"elementor-icon-list-items\">\n\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item\">\n\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-icon\">\n\t\t\t\t\t\t\t<svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-check\" viewBox=\"0 0 512 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M173.898 439.404l-166.4-166.4c-9.997-9.997-9.997-26.206 0-36.204l36.203-36.204c9.997-9.998 26.207-9.998 36.204 0L192 312.69 432.095 72.596c9.997-9.997 26.207-9.997 36.204 0l36.203 36.204c9.997 9.997 9.997 26.206 0 36.204l-294.4 294.401c-9.998 9.997-26.207 9.997-36.204-.001z\"><\/path><\/svg>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text\">AI for service teams and after-sales departments<\/span>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item\">\n\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-icon\">\n\t\t\t\t\t\t\t<svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-check\" viewBox=\"0 0 512 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M173.898 439.404l-166.4-166.4c-9.997-9.997-9.997-26.206 0-36.204l36.203-36.204c9.997-9.998 26.207-9.998 36.204 0L192 312.69 432.095 72.596c9.997-9.997 26.207-9.997 36.204 0l36.203 36.204c9.997 9.997 9.997 26.206 0 36.204l-294.4 294.401c-9.998 9.997-26.207 9.997-36.204-.001z\"><\/path><\/svg>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text\">Available on selected platforms<\/span>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t<\/ul>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f0c1821 elementor-widget elementor-widget-button\" data-id=\"f0c1821\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"https:\/\/aixbrain.simplybook.it\/v2\/\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">Book a Demo<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-09edecb\" data-id=\"09edecb\" data-element_type=\"column\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-869427b e-transform e-transform elementor-widget elementor-widget-image\" data-id=\"869427b\" data-element_type=\"widget\" data-settings=\"{&quot;_transform_scale_effect&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:1.8,&quot;sizes&quot;:[]},&quot;_transform_scale_effect_hover&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:1.9,&quot;sizes&quot;:[]},&quot;_transform_scale_effect_tablet&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:&quot;&quot;,&quot;sizes&quot;:[]},&quot;_transform_scale_effect_mobile&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:&quot;&quot;,&quot;sizes&quot;:[]},&quot;_transform_scale_effect_hover_tablet&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:&quot;&quot;,&quot;sizes&quot;:[]},&quot;_transform_scale_effect_hover_mobile&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:&quot;&quot;,&quot;sizes&quot;:[]}}\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"800\" height=\"480\" src=\"https:\/\/aixbrain.pwdev.de\/wp-content\/uploads\/2025\/02\/IXON-Cloud-animiert-mikt-weissem-Hintergrund.gif\" class=\"attachment-large size-large wp-image-9312\" alt=\"\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-4a9699f elementor-section-stretched elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"4a9699f\" data-element_type=\"section\" data-settings=\"{&quot;jet_parallax_layout_list&quot;:[],&quot;background_background&quot;:&quot;gradient&quot;,&quot;stretch_section&quot;:&quot;section-stretched&quot;}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-66 elementor-top-column elementor-element elementor-element-ef4d54f\" data-id=\"ef4d54f\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-b3b3642 elementor-widget__width-auto elementor-widget elementor-widget-heading\" data-id=\"b3b3642\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h6 class=\"elementor-heading-title elementor-size-default\">Deep Learning for Industrial Applications<\/h6>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-02d3dab elementor-widget__width-initial elementor-widget elementor-widget-heading\" data-id=\"02d3dab\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Technology<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-e1076aa elementor-widget elementor-widget-heading\" data-id=\"e1076aa\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">The Best AI Software in One Package<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-2635578 elementor-widget__width-initial elementor-widget elementor-widget-text-editor\" data-id=\"2635578\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Our Dataray\u00ae AI Framework and AI Apps combine <b>more than 30 specialized software tools and libraries<\/b>, designed for:<\/p><ul><li style=\"list-style-type: none;\"><ul><li>Automated training of AI models<\/li><li>Versioning and management of AI models<\/li><li>Organization and administration of training data<\/li><li>Deployment and execution of trained AI models<\/li><li>Real-time monitoring of data and AI performance<\/li><\/ul><\/li><\/ul><p>We continuously scan the latest <b>AI tools, concepts, and models<\/b>, rigorously test them, and <b>replace existing solutions with better-performing alternatives<\/b> to ensure state-of-the-art technology.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f564c06 elementor-widget__width-auto elementor-mobile-align-justify elementor-widget-mobile__width-inherit elementor-widget elementor-widget-button\" data-id=\"f564c06\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-md\" href=\"https:\/\/aixbrain.pwdev.de\/kontakt\/\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">Find out More<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-33 elementor-top-column elementor-element elementor-element-fc46705\" data-id=\"fc46705\" data-element_type=\"column\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-de711d7 e-transform e-transform elementor-widget elementor-widget-image\" data-id=\"de711d7\" data-element_type=\"widget\" data-settings=\"{&quot;_transform_scale_effect_hover&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:1.3,&quot;sizes&quot;:[]},&quot;_transform_scale_effect&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:1.2,&quot;sizes&quot;:[]},&quot;_transform_scale_effect_tablet&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:&quot;&quot;,&quot;sizes&quot;:[]},&quot;_transform_scale_effect_mobile&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:&quot;&quot;,&quot;sizes&quot;:[]},&quot;_transform_scale_effect_hover_tablet&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:&quot;&quot;,&quot;sizes&quot;:[]},&quot;_transform_scale_effect_hover_mobile&quot;:{&quot;unit&quot;:&quot;px&quot;,&quot;size&quot;:&quot;&quot;,&quot;sizes&quot;:[]}}\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"400\" height=\"400\" src=\"https:\/\/aixbrain.pwdev.de\/wp-content\/uploads\/2025\/03\/Fertige-Grafik.png\" class=\"attachment-large size-large wp-image-9328\" alt=\"\" srcset=\"https:\/\/aixbrain.pwdev.de\/wp-content\/uploads\/2025\/03\/Fertige-Grafik.png 400w, https:\/\/aixbrain.pwdev.de\/wp-content\/uploads\/2025\/03\/Fertige-Grafik-300x300.png 300w, https:\/\/aixbrain.pwdev.de\/wp-content\/uploads\/2025\/03\/Fertige-Grafik-150x150.png 150w\" sizes=\"(max-width: 400px) 100vw, 400px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-7b93096 elementor-section-stretched elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"7b93096\" data-element_type=\"section\" data-settings=\"{&quot;jet_parallax_layout_list&quot;:[],&quot;background_background&quot;:&quot;classic&quot;,&quot;stretch_section&quot;:&quot;section-stretched&quot;}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-e4b9db6\" data-id=\"e4b9db6\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t<div class=\"elementor-element elementor-element-2276a49 e-con-full e-flex e-con e-parent\" data-id=\"2276a49\" data-element_type=\"container\" data-settings=\"{&quot;jet_parallax_layout_list&quot;:[]}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-eb8097b elementor-widget elementor-widget-heading\" data-id=\"eb8097b\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h1 class=\"elementor-heading-title elementor-size-default\">Pricing<\/h1>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f1a6ba7 elementor-widget elementor-widget-text-editor\" data-id=\"f1a6ba7\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p style=\"text-align: center;\"><span style=\"font-weight: 400;\">We offer<\/span> <b>three Dataray\u00ae licensing models<\/b>, <span style=\"font-weight: 400;\">intended<\/span> <span style=\"font-weight: 400;\">to<\/span> <span style=\"font-weight: 400;\">balance <\/span><b>cost efficiency<\/b> <span style=\"font-weight: 400;\">and<\/span> <b>ownership needs<\/b><span style=\"font-weight: 400;\">:<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-1e3263c e-grid e-con-boxed e-con e-parent\" data-id=\"1e3263c\" data-element_type=\"container\" data-settings=\"{&quot;jet_parallax_layout_list&quot;:[]}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t<div class=\"elementor-element elementor-element-608deee e-con-full e-flex e-con e-child\" data-id=\"608deee\" data-element_type=\"container\" data-settings=\"{&quot;jet_parallax_layout_list&quot;:[]}\">\n\t\t<div class=\"elementor-element elementor-element-bcd9b58 e-con-full e-grid e-con e-child\" data-id=\"bcd9b58\" data-element_type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;,&quot;jet_parallax_layout_list&quot;:[]}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-5d4d370 elementor-widget elementor-widget-heading\" data-id=\"5d4d370\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Platform<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-03d2c7c elementor-widget elementor-widget-text-editor\" data-id=\"03d2c7c\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Dataray\u00ae AI Apps on Data Platforms<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-28b892e e-con-full e-grid e-con e-child\" data-id=\"28b892e\" data-element_type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;,&quot;jet_parallax_layout_list&quot;:[]}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-ca82cfc elementor-widget elementor-widget-text-editor\" data-id=\"ca82cfc\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p style=\"text-align: center;\">500\u20ac<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-03ce77c elementor-widget elementor-widget-text-editor\" data-id=\"03ce77c\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p style=\"text-align: center;\">per month<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-7942af6 e-con-full e-grid e-con e-child\" data-id=\"7942af6\" data-element_type=\"container\" data-settings=\"{&quot;jet_parallax_layout_list&quot;:[]}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-091a66e elementor-widget elementor-widget-text-editor\" data-id=\"091a66e\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><b>1 Dataray-instance<\/b> hosted in the <b>aiXbrain-cloud <\/b><\/p><p><b>1 active AI model<\/b>, e.g., for Predictive Maintenance or Predictive Quality <\/p><p>Serves <b>up to 50 machines<\/b><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-8679a7e e-con-full e-flex e-con e-child\" data-id=\"8679a7e\" data-element_type=\"container\" data-settings=\"{&quot;jet_parallax_layout_list&quot;:[]}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-76b401f elementor-button-warning elementor-widget elementor-widget-button\" data-id=\"76b401f\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"https:\/\/aixbrain.pwdev.de\/kontakt\/\" target=\"_blank\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">Order now<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-deba965 e-con-full e-grid e-con e-child\" data-id=\"deba965\" data-element_type=\"container\" data-settings=\"{&quot;jet_parallax_layout_list&quot;:[]}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-5bb7b9e elementor-align-left elementor-icon-list--layout-traditional elementor-list-item-link-full_width elementor-widget elementor-widget-icon-list\" data-id=\"5bb7b9e\" data-element_type=\"widget\" data-widget_type=\"icon-list.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<ul class=\"elementor-icon-list-items\">\n\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item\">\n\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-icon\">\n\t\t\t\t\t\t\t<svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-check\" viewBox=\"0 0 512 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M173.898 439.404l-166.4-166.4c-9.997-9.997-9.997-26.206 0-36.204l36.203-36.204c9.997-9.998 26.207-9.998 36.204 0L192 312.69 432.095 72.596c9.997-9.997 26.207-9.997 36.204 0l36.203 36.204c9.997 9.997 9.997 26.206 0 36.204l-294.4 294.401c-9.998 9.997-26.207 9.997-36.204-.001z\"><\/path><\/svg>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text\">Monitored and continuously learning AI<\/span>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item\">\n\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-icon\">\n\t\t\t\t\t\t\t<svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-check\" viewBox=\"0 0 512 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M173.898 439.404l-166.4-166.4c-9.997-9.997-9.997-26.206 0-36.204l36.203-36.204c9.997-9.998 26.207-9.998 36.204 0L192 312.69 432.095 72.596c9.997-9.997 26.207-9.997 36.204 0l36.203 36.204c9.997 9.997 9.997 26.206 0 36.204l-294.4 294.401c-9.998 9.997-26.207 9.997-36.204-.001z\"><\/path><\/svg>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text\">Maintenance and updates managed by aiXbrain<\/span>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item\">\n\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-icon\">\n\t\t\t\t\t\t\t<svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-check\" viewBox=\"0 0 512 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M173.898 439.404l-166.4-166.4c-9.997-9.997-9.997-26.206 0-36.204l36.203-36.204c9.997-9.998 26.207-9.998 36.204 0L192 312.69 432.095 72.596c9.997-9.997 26.207-9.997 36.204 0l36.203 36.204c9.997 9.997 9.997 26.206 0 36.204l-294.4 294.401c-9.998 9.997-26.207 9.997-36.204-.001z\"><\/path><\/svg>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text\">Configuration, support, and AI performance tuning available upon request<\/span>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t<\/ul>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-d624a2a e-con-full e-flex e-con e-child\" data-id=\"d624a2a\" data-element_type=\"container\" data-settings=\"{&quot;jet_parallax_layout_list&quot;:[]}\">\n\t\t<div class=\"elementor-element elementor-element-2312d35 e-con-full e-grid e-con e-child\" data-id=\"2312d35\" data-element_type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;,&quot;jet_parallax_layout_list&quot;:[]}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-d0560a4 elementor-widget elementor-widget-heading\" data-id=\"d0560a4\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Managed Service<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c6da4e6 elementor-widget elementor-widget-text-editor\" data-id=\"c6da4e6\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Dataray\u00ae as the Engine of Your AI Application<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-72e07cc e-con-full e-grid e-con e-child\" data-id=\"72e07cc\" data-element_type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;,&quot;jet_parallax_layout_list&quot;:[]}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-deba52d elementor-widget elementor-widget-text-editor\" data-id=\"deba52d\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p style=\"text-align: center;\">500\u20ac<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-9f113a6 elementor-widget elementor-widget-text-editor\" data-id=\"9f113a6\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p style=\"text-align: center;\">per month + service fee <\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-f2b0476 e-con-full e-grid e-con e-child\" data-id=\"f2b0476\" data-element_type=\"container\" data-settings=\"{&quot;jet_parallax_layout_list&quot;:[]}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-dbb7756 elementor-widget__width-initial elementor-widget elementor-widget-text-editor\" data-id=\"dbb7756\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><b>1 Dataray instance<\/b><span style=\"font-weight: 400;\"> hosted in <\/span><b>your infrastructure<\/b><\/p><p><b>1 active AI model,<\/b><span style=\"font-weight: 400;\">e.g., for Predictive Maintenance or Predictive Quality <\/span><\/p><p><span style=\"font-weight: 400;\">Serves up to <\/span><b>50 maschines<\/b><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-1f49566 e-con-full e-flex e-con e-child\" data-id=\"1f49566\" data-element_type=\"container\" data-settings=\"{&quot;jet_parallax_layout_list&quot;:[]}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-3fe6bbf elementor-button-warning elementor-widget elementor-widget-button\" data-id=\"3fe6bbf\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"https:\/\/aixbrain.pwdev.de\/kontakt\/\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">Order now<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-0517504 e-con-full e-grid e-con e-child\" data-id=\"0517504\" data-element_type=\"container\" data-settings=\"{&quot;jet_parallax_layout_list&quot;:[]}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-402ebaf elementor-align-left elementor-icon-list--layout-traditional elementor-list-item-link-full_width elementor-widget elementor-widget-icon-list\" data-id=\"402ebaf\" data-element_type=\"widget\" data-widget_type=\"icon-list.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<ul class=\"elementor-icon-list-items\">\n\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item\">\n\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-icon\">\n\t\t\t\t\t\t\t<svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-check\" viewBox=\"0 0 512 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M173.898 439.404l-166.4-166.4c-9.997-9.997-9.997-26.206 0-36.204l36.203-36.204c9.997-9.998 26.207-9.998 36.204 0L192 312.69 432.095 72.596c9.997-9.997 26.207-9.997 36.204 0l36.203 36.204c9.997 9.997 9.997 26.206 0 36.204l-294.4 294.401c-9.998 9.997-26.207 9.997-36.204-.001z\"><\/path><\/svg>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text\">Monitored and continuously learning AI<\/span>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item\">\n\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-icon\">\n\t\t\t\t\t\t\t<svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-check\" viewBox=\"0 0 512 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M173.898 439.404l-166.4-166.4c-9.997-9.997-9.997-26.206 0-36.204l36.203-36.204c9.997-9.998 26.207-9.998 36.204 0L192 312.69 432.095 72.596c9.997-9.997 26.207-9.997 36.204 0l36.203 36.204c9.997 9.997 9.997 26.206 0 36.204l-294.4 294.401c-9.998 9.997-26.207 9.997-36.204-.001z\"><\/path><\/svg>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text\">Maintenance and updates managed by aiXbrain<\/span>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item\">\n\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-icon\">\n\t\t\t\t\t\t\t<svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-check\" viewBox=\"0 0 512 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M173.898 439.404l-166.4-166.4c-9.997-9.997-9.997-26.206 0-36.204l36.203-36.204c9.997-9.998 26.207-9.998 36.204 0L192 312.69 432.095 72.596c9.997-9.997 26.207-9.997 36.204 0l36.203 36.204c9.997 9.997 9.997 26.206 0 36.204l-294.4 294.401c-9.998 9.997-26.207 9.997-36.204-.001z\"><\/path><\/svg>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text\">Integration, configuration, support, and AI performance tuning available upon request<\/span>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t<\/ul>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-6b31725 e-con-full e-flex e-con e-child\" data-id=\"6b31725\" data-element_type=\"container\" data-settings=\"{&quot;jet_parallax_layout_list&quot;:[]}\">\n\t\t<div class=\"elementor-element elementor-element-2e854a0 e-con-full e-grid e-con e-child\" data-id=\"2e854a0\" data-element_type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;,&quot;jet_parallax_layout_list&quot;:[]}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-db8ebf3 elementor-widget elementor-widget-heading\" data-id=\"db8ebf3\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Custom Software<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-0edd4bf elementor-widget elementor-widget-text-editor\" data-id=\"0edd4bf\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Purchase Dataray\u00ae as a Custom Solution<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-8a774eb e-con-full e-flex e-con e-child\" data-id=\"8a774eb\" data-element_type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;,&quot;jet_parallax_layout_list&quot;:[]}\">\n\t\t<div class=\"elementor-element elementor-element-267c0a7 e-con-full e-grid e-con e-child\" data-id=\"267c0a7\" data-element_type=\"container\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;,&quot;jet_parallax_layout_list&quot;:[]}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-f79dc1e elementor-widget elementor-widget-text-editor\" data-id=\"f79dc1e\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<h2 style=\"text-align: center;\">Price on request<\/h2>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-1e6d71f e-con-full e-grid e-con e-child\" data-id=\"1e6d71f\" data-element_type=\"container\" data-settings=\"{&quot;jet_parallax_layout_list&quot;:[]}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-656033e elementor-widget__width-initial elementor-widget elementor-widget-text-editor\" data-id=\"656033e\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p> <\/p><p><b>Transfer<\/b><span style=\"font-weight: 400;\"> of the Dataray AI framework or individual modules<\/span><\/p><p><b>Custom <\/b><b>usage rights<\/b><span style=\"font-weight: 400;\"> based on your requirements<\/span><\/p><p> <\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-b202259 e-con-full e-flex e-con e-child\" data-id=\"b202259\" data-element_type=\"container\" data-settings=\"{&quot;jet_parallax_layout_list&quot;:[]}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-bcf2e8d elementor-button-warning elementor-widget elementor-widget-button\" data-id=\"bcf2e8d\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"https:\/\/aixbrain.pwdev.de\/kontakt\/\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">Order now<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-50a41cb e-con-full e-grid e-con e-child\" data-id=\"50a41cb\" data-element_type=\"container\" data-settings=\"{&quot;jet_parallax_layout_list&quot;:[]}\">\n\t\t\t\t<div class=\"elementor-element elementor-element-5eed176 elementor-align-left elementor-icon-list--layout-traditional elementor-list-item-link-full_width elementor-widget elementor-widget-icon-list\" data-id=\"5eed176\" data-element_type=\"widget\" data-widget_type=\"icon-list.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<ul class=\"elementor-icon-list-items\">\n\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item\">\n\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-icon\">\n\t\t\t\t\t\t\t<svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-check\" viewBox=\"0 0 512 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M173.898 439.404l-166.4-166.4c-9.997-9.997-9.997-26.206 0-36.204l36.203-36.204c9.997-9.998 26.207-9.998 36.204 0L192 312.69 432.095 72.596c9.997-9.997 26.207-9.997 36.204 0l36.203 36.204c9.997 9.997 9.997 26.206 0 36.204l-294.4 294.401c-9.998 9.997-26.207 9.997-36.204-.001z\"><\/path><\/svg>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text\">Individually customized modules and functionalities <\/span>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item\">\n\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-icon\">\n\t\t\t\t\t\t\t<svg aria-hidden=\"true\" class=\"e-font-icon-svg e-fas-check\" viewBox=\"0 0 512 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M173.898 439.404l-166.4-166.4c-9.997-9.997-9.997-26.206 0-36.204l36.203-36.204c9.997-9.998 26.207-9.998 36.204 0L192 312.69 432.095 72.596c9.997-9.997 26.207-9.997 36.204 0l36.203 36.204c9.997 9.997 9.997 26.206 0 36.204l-294.4 294.401c-9.998 9.997-26.207 9.997-36.204-.001z\"><\/path><\/svg>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text\">Full control over features, code, and infrastructure<\/span>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t<\/ul>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-4970230 elementor-section-stretched elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"4970230\" data-element_type=\"section\" data-settings=\"{&quot;jet_parallax_layout_list&quot;:[],&quot;stretch_section&quot;:&quot;section-stretched&quot;,&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-fabbae5\" data-id=\"fabbae5\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-3899eb1 elementor-widget__width-auto elementor-widget elementor-widget-heading\" data-id=\"3899eb1\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h6 class=\"elementor-heading-title elementor-size-default\">FAQ<\/h6>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-4584070 elementor-widget__width-initial elementor-widget elementor-widget-heading\" data-id=\"4584070\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h1 class=\"elementor-heading-title elementor-size-default\">Answers to Your Questions<\/h1>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-e4e7ef3 elementor-widget elementor-widget-text-editor\" data-id=\"e4e7ef3\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>Here, we answer the most frequently asked questions about Dataray. If you have any further questions, feel free to reach out to us.  <\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-243a83d elementor-widget__width-auto elementor-mobile-align-justify elementor-widget-mobile__width-inherit elementor-widget elementor-widget-button\" data-id=\"243a83d\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-md\" href=\"https:\/\/aixbrain.pwdev.de\/kontakt\/\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">Ask a Question<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-f61a36a\" data-id=\"f61a36a\" data-element_type=\"column\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-0d8bd23 elementor-widget elementor-widget-image\" data-id=\"0d8bd23\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"800\" height=\"307\" src=\"https:\/\/aixbrain.pwdev.de\/wp-content\/uploads\/2023\/06\/FAQ-Symbolbild.jpg\" class=\"attachment-large size-large wp-image-8805\" alt=\"\" srcset=\"https:\/\/aixbrain.pwdev.de\/wp-content\/uploads\/2023\/06\/FAQ-Symbolbild.jpg 1000w, https:\/\/aixbrain.pwdev.de\/wp-content\/uploads\/2023\/06\/FAQ-Symbolbild-300x115.jpg 300w, https:\/\/aixbrain.pwdev.de\/wp-content\/uploads\/2023\/06\/FAQ-Symbolbild-768x295.jpg 768w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-986a17d elementor-section-stretched elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"986a17d\" data-element_type=\"section\" data-settings=\"{&quot;jet_parallax_layout_list&quot;:[],&quot;background_background&quot;:&quot;gradient&quot;,&quot;stretch_section&quot;:&quot;section-stretched&quot;}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-96161ae\" data-id=\"96161ae\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-708ff80 elementor-widget elementor-widget-toggle\" data-id=\"708ff80\" data-element_type=\"widget\" data-widget_type=\"toggle.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-toggle\">\n\t\t\t\t\t\t\t<div class=\"elementor-toggle-item\">\n\t\t\t\t\t<div id=\"elementor-tab-title-1181\" class=\"elementor-tab-title\" data-tab=\"1\" role=\"button\" aria-controls=\"elementor-tab-content-1181\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon elementor-toggle-icon-right\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-closed\"><svg class=\"e-font-icon-svg e-fas-caret-right\" viewBox=\"0 0 192 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M0 384.662V127.338c0-17.818 21.543-26.741 34.142-14.142l128.662 128.662c7.81 7.81 7.81 20.474 0 28.284L34.142 398.804C21.543 411.404 0 402.48 0 384.662z\"><\/path><\/svg><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-opened\"><svg class=\"elementor-toggle-icon-opened e-font-icon-svg e-fas-caret-up\" viewBox=\"0 0 320 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M288.662 352H31.338c-17.818 0-26.741-21.543-14.142-34.142l128.662-128.662c7.81-7.81 20.474-7.81 28.284 0l128.662 128.662c12.6 12.599 3.676 34.142-14.142 34.142z\"><\/path><\/svg><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a class=\"elementor-toggle-title\" tabindex=\"0\">What do I need Dataray for? <\/a>\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t<div id=\"elementor-tab-content-1181\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"1\" role=\"region\" aria-labelledby=\"elementor-tab-title-1181\"><p><b>For Development Teams:<\/b> Anyone looking to develop production-ready AI for machines needs a <strong>powerful<\/strong> <b>MLOps runtime environment<\/b> to train, deploy, and monitor AI models &#8211; essentially the <b>engine of an AI application<\/b>. Standard frameworks aren&#8217;t built for industrial machine environments, which is why aiXbrain has developed Dataray as an <b>optimized &#8220;best-of&#8221; <\/b><strong>package<\/strong> exactly for that purpose. So why spend time and money building from scratch when you can get a <strong>tailor-made, cost-effective solution<\/strong>?<\/p><p><b>For Service &amp; After-Sales Teams:<\/b> Providing <b>premium service and innovative add-ons<\/b> is nearly impossible today without AI. With <b>Dataray AI Apps<\/b>, you get access to advanced wear prediction, anomaly detection, and root cause analysis &#8211; fully integrated into your data and monitoring platform. This enables you to resolve issues at <b>unprecedented speed<\/b>, optimize <strong>spare parts management<\/strong>, and offer customers <b>digital solutions<\/b> to enhance machine performance.<\/p><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"elementor-toggle-item\">\n\t\t\t\t\t<div id=\"elementor-tab-title-1182\" class=\"elementor-tab-title\" data-tab=\"2\" role=\"button\" aria-controls=\"elementor-tab-content-1182\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon elementor-toggle-icon-right\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-closed\"><svg class=\"e-font-icon-svg e-fas-caret-right\" viewBox=\"0 0 192 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M0 384.662V127.338c0-17.818 21.543-26.741 34.142-14.142l128.662 128.662c7.81 7.81 7.81 20.474 0 28.284L34.142 398.804C21.543 411.404 0 402.48 0 384.662z\"><\/path><\/svg><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-opened\"><svg class=\"elementor-toggle-icon-opened e-font-icon-svg e-fas-caret-up\" viewBox=\"0 0 320 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M288.662 352H31.338c-17.818 0-26.741-21.543-14.142-34.142l128.662-128.662c7.81-7.81 20.474-7.81 28.284 0l128.662 128.662c12.6 12.599 3.676 34.142-14.142 34.142z\"><\/path><\/svg><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a class=\"elementor-toggle-title\" tabindex=\"0\">How many licenses do I need?<\/a>\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t<div id=\"elementor-tab-content-1182\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"2\" role=\"region\" aria-labelledby=\"elementor-tab-title-1182\"><p><span style=\"font-weight: 400;\">A <\/span><b>Dataray license <\/b>corresponds to a <strong>Dataray instance<\/strong>, which allows you to train, deploy, and monitor <b>one active AI model<\/b>.<span style=\"font-weight: 400;\"> In general, a single instance can serve <\/span><b>up to 50 machines.<\/b><span style=\"font-weight: 400;\"> However, the actual number of machines a model can support depends on <\/span><b>the statistical variance of the machine data<\/b><span style=\"font-weight: 400;\"> and the <\/span><b>required accuracy of AI results.<\/b><span style=\"font-weight: 400;\"> In most cases, multiple identical machines can be operated using the same active AI model within a single instance. <\/span><\/p><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"elementor-toggle-item\">\n\t\t\t\t\t<div id=\"elementor-tab-title-1183\" class=\"elementor-tab-title\" data-tab=\"3\" role=\"button\" aria-controls=\"elementor-tab-content-1183\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon elementor-toggle-icon-right\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-closed\"><svg class=\"e-font-icon-svg e-fas-caret-right\" viewBox=\"0 0 192 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M0 384.662V127.338c0-17.818 21.543-26.741 34.142-14.142l128.662 128.662c7.81 7.81 7.81 20.474 0 28.284L34.142 398.804C21.543 411.404 0 402.48 0 384.662z\"><\/path><\/svg><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-opened\"><svg class=\"elementor-toggle-icon-opened e-font-icon-svg e-fas-caret-up\" viewBox=\"0 0 320 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M288.662 352H31.338c-17.818 0-26.741-21.543-14.142-34.142l128.662-128.662c7.81-7.81 20.474-7.81 28.284 0l128.662 128.662c12.6 12.599 3.676 34.142-14.142 34.142z\"><\/path><\/svg><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a class=\"elementor-toggle-title\" tabindex=\"0\">How does the onboarding work?<\/a>\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t<div id=\"elementor-tab-content-1183\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"3\" role=\"region\" aria-labelledby=\"elementor-tab-title-1183\"><p><span style=\"font-weight: 400;\">The onboarding takes place in <\/span><b>four steps.<\/b><span style=\"font-weight: 400;\"> First, during the <\/span> <b style=\"background-color: transparent; color: var( --e-global-color-secondary );\">AI specification phase<\/b><span style=\"background-color: transparent; color: var( --e-global-color-secondary );\">, the required<\/span><span style=\"background-color: transparent; color: var( --e-global-color-secondary );\"> AI input and output are defined, quality requirements are set, and the first suitable AI models are selected.<\/span> <span style=\"background-color: transparent; color: var( --e-global-color-secondary );\">This is followed by the <strong>configuration phase<\/strong>,<\/span> where a Dataray instance is <span style=\"background-color: transparent; color: var( --e-global-color-secondary );\">set up and the AI model<\/span> is trained. <span style=\"background-color: transparent; color: var( --e-global-color-secondary );\">After a successful evaluation,<\/span> the <b style=\"background-color: transparent; color: var( --e-global-color-secondary );\">guided rollout<\/b> begins, <span style=\"background-color: transparent; color: var( --e-global-color-secondary );\">including regular feedback sessions<\/span> and an analysis of usage statistics.<span style=\"background-color: transparent; color: var( --e-global-color-secondary );\"> In <\/span><b style=\"background-color: transparent; color: var( --e-global-color-secondary );\">live operation<\/b><span style=\"background-color: transparent; color: var( --e-global-color-secondary );\"> the AI application is continuously <strong>monitored and updated<\/strong>, <\/span>with aiXbrain experts available for support if needed<span style=\"background-color: transparent; color: var( --e-global-color-secondary );\">.<br \/><\/span><span style=\"color: var( --e-global-color-secondary );\">If Dataray is not yet integrated into the existing data platform, an additional <\/span><b style=\"background-color: transparent; color: var( --e-global-color-secondary );\">integration step<\/b> <span style=\"background-color: transparent; color: var( --e-global-color-secondary );\">is required before onboarding.<\/span><\/p><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"elementor-toggle-item\">\n\t\t\t\t\t<div id=\"elementor-tab-title-1184\" class=\"elementor-tab-title\" data-tab=\"4\" role=\"button\" aria-controls=\"elementor-tab-content-1184\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon elementor-toggle-icon-right\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-closed\"><svg class=\"e-font-icon-svg e-fas-caret-right\" viewBox=\"0 0 192 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M0 384.662V127.338c0-17.818 21.543-26.741 34.142-14.142l128.662 128.662c7.81 7.81 7.81 20.474 0 28.284L34.142 398.804C21.543 411.404 0 402.48 0 384.662z\"><\/path><\/svg><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-opened\"><svg class=\"elementor-toggle-icon-opened e-font-icon-svg e-fas-caret-up\" viewBox=\"0 0 320 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M288.662 352H31.338c-17.818 0-26.741-21.543-14.142-34.142l128.662-128.662c7.81-7.81 20.474-7.81 28.284 0l128.662 128.662c12.6 12.599 3.676 34.142-14.142 34.142z\"><\/path><\/svg><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a class=\"elementor-toggle-title\" tabindex=\"0\">How much AI expertise is required to use Dataray?<\/a>\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t<div id=\"elementor-tab-content-1184\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"4\" role=\"region\" aria-labelledby=\"elementor-tab-title-1184\"><p><b>Generally, none.<\/b><span style=\"font-weight: 400;\"> While a basic understanding of what AI can do and which data it requires can be helpful, it is not a prerequisite. <strong>Dataray comes <\/strong><\/span><b>with pre-configured <\/b><b>AI models <\/b><span style=\"font-weight: 400;\">designed for industrial applications and is fully supported by our expert team during setup and operation. <\/span><b>Advanced users <\/b><span style=\"font-weight: 400;\">can independently monitor and adjust AI models and collaborate with us to further develop models for specific use cases.<\/span><\/p><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"elementor-toggle-item\">\n\t\t\t\t\t<div id=\"elementor-tab-title-1185\" class=\"elementor-tab-title\" data-tab=\"5\" role=\"button\" aria-controls=\"elementor-tab-content-1185\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon elementor-toggle-icon-right\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-closed\"><svg class=\"e-font-icon-svg e-fas-caret-right\" viewBox=\"0 0 192 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M0 384.662V127.338c0-17.818 21.543-26.741 34.142-14.142l128.662 128.662c7.81 7.81 7.81 20.474 0 28.284L34.142 398.804C21.543 411.404 0 402.48 0 384.662z\"><\/path><\/svg><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-opened\"><svg class=\"elementor-toggle-icon-opened e-font-icon-svg e-fas-caret-up\" viewBox=\"0 0 320 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M288.662 352H31.338c-17.818 0-26.741-21.543-14.142-34.142l128.662-128.662c7.81-7.81 20.474-7.81 28.284 0l128.662 128.662c12.6 12.599 3.676 34.142-14.142 34.142z\"><\/path><\/svg><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a class=\"elementor-toggle-title\" tabindex=\"0\">Who owns the data and the AI models?<\/a>\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t<div id=\"elementor-tab-content-1185\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"5\" role=\"region\" aria-labelledby=\"elementor-tab-title-1185\"><p><b>All customer and machine data remain the exclusive property of the customer<\/b><span style=\"font-weight: 400;\">. If metadata or usage data is stored in Dataray, <\/span>these also remain<b> sole property of the customer<\/b><span style=\"font-weight: 400;\">. AI models trained on your data can be used without restrictions, both internally and in applications for your end customers. Our customers receive <\/span><b>an exclusive, perpetual, and unrestricted usage right<\/b><span style=\"font-weight: 400;\"> for the executable AI models trained with their data. Upon request or at the end of our collaboration, the executable code of these models is fully deleted. <\/span><\/p><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"elementor-toggle-item\">\n\t\t\t\t\t<div id=\"elementor-tab-title-1186\" class=\"elementor-tab-title\" data-tab=\"6\" role=\"button\" aria-controls=\"elementor-tab-content-1186\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon elementor-toggle-icon-right\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-closed\"><svg class=\"e-font-icon-svg e-fas-caret-right\" viewBox=\"0 0 192 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M0 384.662V127.338c0-17.818 21.543-26.741 34.142-14.142l128.662 128.662c7.81 7.81 7.81 20.474 0 28.284L34.142 398.804C21.543 411.404 0 402.48 0 384.662z\"><\/path><\/svg><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-opened\"><svg class=\"elementor-toggle-icon-opened e-font-icon-svg e-fas-caret-up\" viewBox=\"0 0 320 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M288.662 352H31.338c-17.818 0-26.741-21.543-14.142-34.142l128.662-128.662c7.81-7.81 20.474-7.81 28.284 0l128.662 128.662c12.6 12.599 3.676 34.142-14.142 34.142z\"><\/path><\/svg><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a class=\"elementor-toggle-title\" tabindex=\"0\">Where is data stored, and what kind of data is saved?<\/a>\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t<div id=\"elementor-tab-content-1186\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"6\" role=\"region\" aria-labelledby=\"elementor-tab-title-1186\"><p>Dataray directly accesses <strong>machine and process data<\/strong> from your connected data platform. To <strong>accelerate AI processing,<\/strong> data can be <strong>pre-processed and stored in an<\/strong> <strong>optimized format<\/strong> if needed.<br \/>Additionally, Dataray only stores <strong>configuration settings,<\/strong> <strong>usage data, and metadata<\/strong> that cannot be directly stored in your platform.<br \/>For <strong>cloud deployments<\/strong>, all data is stored <strong>exclusively on EU servers<\/strong>, fully compliant with <strong>applicable data protection and security standards<\/strong>. This ensures maximum performance, transparency, and data security.<\/p><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"elementor-toggle-item\">\n\t\t\t\t\t<div id=\"elementor-tab-title-1187\" class=\"elementor-tab-title\" data-tab=\"7\" role=\"button\" aria-controls=\"elementor-tab-content-1187\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon elementor-toggle-icon-right\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-closed\"><svg class=\"e-font-icon-svg e-fas-caret-right\" viewBox=\"0 0 192 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M0 384.662V127.338c0-17.818 21.543-26.741 34.142-14.142l128.662 128.662c7.81 7.81 7.81 20.474 0 28.284L34.142 398.804C21.543 411.404 0 402.48 0 384.662z\"><\/path><\/svg><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-opened\"><svg class=\"elementor-toggle-icon-opened e-font-icon-svg e-fas-caret-up\" viewBox=\"0 0 320 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M288.662 352H31.338c-17.818 0-26.741-21.543-14.142-34.142l128.662-128.662c7.81-7.81 20.474-7.81 28.284 0l128.662 128.662c12.6 12.599 3.676 34.142-14.142 34.142z\"><\/path><\/svg><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a class=\"elementor-toggle-title\" tabindex=\"0\">What AI models does Dataray use?<\/a>\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t<div id=\"elementor-tab-content-1187\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"7\" role=\"region\" aria-labelledby=\"elementor-tab-title-1187\"><p><span style=\"font-weight: 400;\">Dataray uses an <\/span><b>optimized set of proven AI models<\/b><span style=\"font-weight: 400;\"> for industrial applications, such as analyzing low-frequency control data or high-frequency sensor data. During training, <strong>multiple models compete<\/strong>, and the <strong>best-performing model<\/strong> is selected as the <\/span>active AI model.<span style=\"font-weight: 400;\"> For <\/span><b>time-series data<\/b>, <span style=\"font-weight: 400;\">Dataray <\/span>primarily relies on <b>Deep Learning models<\/b>, such as <span style=\"font-weight: 400;\">neural networks<\/span>. For <b>image data<\/b>, it <span style=\"font-weight: 400;\">leverages<\/span> <b>pre-trained models<\/b>, and <span style=\"font-weight: 400;\">for<\/span> <b>text-based tasks<\/b>,<span style=\"font-weight: 400;\"> it<\/span> <span style=\"font-weight: 400;\">uses<\/span> <b>LLMs and Generative AI technology.<\/b><span style=\"font-weight: 400;\"><br \/><\/span><span style=\"font-weight: 400;\">As AI experts,<\/span> we continuously evaluate new models and add them to <b>Dataray\u2019s AI Model Repository<\/b> when they provide <span style=\"font-weight: 400;\">additional value<\/span>.<\/p><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"elementor-toggle-item\">\n\t\t\t\t\t<div id=\"elementor-tab-title-1188\" class=\"elementor-tab-title\" data-tab=\"8\" role=\"button\" aria-controls=\"elementor-tab-content-1188\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon elementor-toggle-icon-right\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-closed\"><svg class=\"e-font-icon-svg e-fas-caret-right\" viewBox=\"0 0 192 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M0 384.662V127.338c0-17.818 21.543-26.741 34.142-14.142l128.662 128.662c7.81 7.81 7.81 20.474 0 28.284L34.142 398.804C21.543 411.404 0 402.48 0 384.662z\"><\/path><\/svg><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-opened\"><svg class=\"elementor-toggle-icon-opened e-font-icon-svg e-fas-caret-up\" viewBox=\"0 0 320 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M288.662 352H31.338c-17.818 0-26.741-21.543-14.142-34.142l128.662-128.662c7.81-7.81 20.474-7.81 28.284 0l128.662 128.662c12.6 12.599 3.676 34.142-14.142 34.142z\"><\/path><\/svg><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a class=\"elementor-toggle-title\" tabindex=\"0\">How much training data is required?<\/a>\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t<div id=\"elementor-tab-content-1188\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"8\" role=\"region\" aria-labelledby=\"elementor-tab-title-1188\"><p><span style=\"font-weight: 400;\">Modern pre-trained models<\/span> and Generative AI require <b>very little training data<\/b><span style=\"font-weight: 400;\">. For other Deep Learning models, the required data volume depends on <\/span>the <b>desired AI accuracy<\/b><strong>,<\/strong> <b>the statistical variance<\/b>, <span style=\"font-weight: 400;\">and<\/span> <span style=\"font-weight: 400;\">the<\/span> <b>informational value of the training data<\/b>.<span style=\"font-weight: 400;\"> A small number of relevant events, such as rare machine failures, can result in large datasets that are unsuitable for training. As <\/span> a<span style=\"font-weight: 400;\"> general guideline<\/span>, we start with <b>several hundred <\/b><b>to a few thousand data points<\/b>, <span style=\"font-weight: 400;\">with <\/span><span style=\"font-weight: 400;\">at least<\/span> <b>one-third representing relevant events<\/b>.<\/p><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<div class=\"elementor-toggle-item\">\n\t\t\t\t\t<div id=\"elementor-tab-title-1189\" class=\"elementor-tab-title\" data-tab=\"9\" role=\"button\" aria-controls=\"elementor-tab-content-1189\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon elementor-toggle-icon-right\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-closed\"><svg class=\"e-font-icon-svg e-fas-caret-right\" viewBox=\"0 0 192 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M0 384.662V127.338c0-17.818 21.543-26.741 34.142-14.142l128.662 128.662c7.81 7.81 7.81 20.474 0 28.284L34.142 398.804C21.543 411.404 0 402.48 0 384.662z\"><\/path><\/svg><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-opened\"><svg class=\"elementor-toggle-icon-opened e-font-icon-svg e-fas-caret-up\" viewBox=\"0 0 320 512\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"><path d=\"M288.662 352H31.338c-17.818 0-26.741-21.543-14.142-34.142l128.662-128.662c7.81-7.81 20.474-7.81 28.284 0l128.662 128.662c12.6 12.599 3.676 34.142-14.142 34.142z\"><\/path><\/svg><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a class=\"elementor-toggle-title\" tabindex=\"0\">Do training data always need to be labeled?<\/a>\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t<div id=\"elementor-tab-content-1189\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"9\" role=\"region\" aria-labelledby=\"elementor-tab-title-1189\"><p><b>No<\/b><span style=\"font-weight: 400;\">. Whether labeling is required depends on the task and the desired AI functionality.<\/span><\/p><p><b>Supervised learning<\/b><span style=\"font-weight: 400;\"> requires labeled data to provide the AI with clear patterns and target values. This is typically applied to <\/span><b>classification or fault detection models<\/b>.<\/p><p><strong>Unsupervised learning<\/strong>, on the other hand, works without labeled data and <span style=\"font-weight: 400;\">identifies patterns on its own<\/span>, such as for <b>anomaly detection <\/b><b>or clustering<\/b><span style=\"font-weight: 400;\">.<\/span><\/p><p><span style=\"font-weight: 400;\">In some cases, a <\/span><b>hybrid approach<\/b> can be beneficial, where AI is initially trained with a small amount of labeled data and then <strong>continues learning independently<\/strong>.<\/p><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t<script type=\"application\/ld+json\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@type\":\"FAQPage\",\"mainEntity\":[{\"@type\":\"Question\",\"name\":\"What do I need Dataray for?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"<p><b>For Development Teams:<\\\/b> Anyone looking to develop production-ready AI for machines needs a <strong>powerful<\\\/strong> <b>MLOps runtime environment<\\\/b> to train, deploy, and monitor AI models &#8211; essentially the <b>engine of an AI application<\\\/b>. Standard frameworks aren&#8217;t built for industrial machine environments, which is why aiXbrain has developed Dataray as an <b>optimized &#8220;best-of&#8221; <\\\/b><strong>package<\\\/strong> exactly for that purpose. So why spend time and money building from scratch when you can get a <strong>tailor-made, cost-effective solution<\\\/strong>?<\\\/p><p><b>For Service &amp; After-Sales Teams:<\\\/b> Providing <b>premium service and innovative add-ons<\\\/b> is nearly impossible today without AI. With <b>Dataray AI Apps<\\\/b>, you get access to advanced wear prediction, anomaly detection, and root cause analysis &#8211; fully integrated into your data and monitoring platform. This enables you to resolve issues at <b>unprecedented speed<\\\/b>, optimize <strong>spare parts management<\\\/strong>, and offer customers <b>digital solutions<\\\/b> to enhance machine performance.<\\\/p>\"}},{\"@type\":\"Question\",\"name\":\"How many licenses do I need?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"<p><span style=\\\"font-weight: 400;\\\">A <\\\/span><b>Dataray license <\\\/b>corresponds to a <strong>Dataray instance<\\\/strong>, which allows you to train, deploy, and monitor <b>one active AI model<\\\/b>.<span style=\\\"font-weight: 400;\\\"> In general, a single instance can serve <\\\/span><b>up to 50 machines.<\\\/b><span style=\\\"font-weight: 400;\\\"> However, the actual number of machines a model can support depends on <\\\/span><b>the statistical variance of the machine data<\\\/b><span style=\\\"font-weight: 400;\\\"> and the <\\\/span><b>required accuracy of AI results.<\\\/b><span style=\\\"font-weight: 400;\\\"> In most cases, multiple identical machines can be operated using the same active AI model within a single instance. <\\\/span><\\\/p>\"}},{\"@type\":\"Question\",\"name\":\"How does the onboarding work?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"<p><span style=\\\"font-weight: 400;\\\">The onboarding takes place in <\\\/span><b>four steps.<\\\/b><span style=\\\"font-weight: 400;\\\"> First, during the <\\\/span> <b style=\\\"background-color: transparent; color: var( --e-global-color-secondary );\\\">AI specification phase<\\\/b><span style=\\\"background-color: transparent; color: var( --e-global-color-secondary );\\\">, the required<\\\/span><span style=\\\"background-color: transparent; color: var( --e-global-color-secondary );\\\"> AI input and output are defined, quality requirements are set, and the first suitable AI models are selected.<\\\/span> <span style=\\\"background-color: transparent; color: var( --e-global-color-secondary );\\\">This is followed by the <strong>configuration phase<\\\/strong>,<\\\/span> where a Dataray instance is <span style=\\\"background-color: transparent; color: var( --e-global-color-secondary );\\\">set up and the AI model<\\\/span> is trained. <span style=\\\"background-color: transparent; color: var( --e-global-color-secondary );\\\">After a successful evaluation,<\\\/span> the <b style=\\\"background-color: transparent; color: var( --e-global-color-secondary );\\\">guided rollout<\\\/b> begins, <span style=\\\"background-color: transparent; color: var( --e-global-color-secondary );\\\">including regular feedback sessions<\\\/span> and an analysis of usage statistics.<span style=\\\"background-color: transparent; color: var( --e-global-color-secondary );\\\"> In <\\\/span><b style=\\\"background-color: transparent; color: var( --e-global-color-secondary );\\\">live operation<\\\/b><span style=\\\"background-color: transparent; color: var( --e-global-color-secondary );\\\"> the AI application is continuously <strong>monitored and updated<\\\/strong>, <\\\/span>with aiXbrain experts available for support if needed<span style=\\\"background-color: transparent; color: var( --e-global-color-secondary );\\\">.<br \\\/><\\\/span><span style=\\\"color: var( --e-global-color-secondary );\\\">If Dataray is not yet integrated into the existing data platform, an additional <\\\/span><b style=\\\"background-color: transparent; color: var( --e-global-color-secondary );\\\">integration step<\\\/b> <span style=\\\"background-color: transparent; color: var( --e-global-color-secondary );\\\">is required before onboarding.<\\\/span><\\\/p>\"}},{\"@type\":\"Question\",\"name\":\"How much AI expertise is required to use Dataray?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"<p><b>Generally, none.<\\\/b><span style=\\\"font-weight: 400;\\\"> While a basic understanding of what AI can do and which data it requires can be helpful, it is not a prerequisite. <strong>Dataray comes <\\\/strong><\\\/span><b>with pre-configured <\\\/b><b>AI models <\\\/b><span style=\\\"font-weight: 400;\\\">designed for industrial applications and is fully supported by our expert team during setup and operation. <\\\/span><b>Advanced users <\\\/b><span style=\\\"font-weight: 400;\\\">can independently monitor and adjust AI models and collaborate with us to further develop models for specific use cases.<\\\/span><\\\/p>\"}},{\"@type\":\"Question\",\"name\":\"Who owns the data and the AI models?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"<p><b>All customer and machine data remain the exclusive property of the customer<\\\/b><span style=\\\"font-weight: 400;\\\">. If metadata or usage data is stored in Dataray, <\\\/span>these also remain<b> sole property of the customer<\\\/b><span style=\\\"font-weight: 400;\\\">. AI models trained on your data can be used without restrictions, both internally and in applications for your end customers. Our customers receive <\\\/span><b>an exclusive, perpetual, and unrestricted usage right<\\\/b><span style=\\\"font-weight: 400;\\\"> for the executable AI models trained with their data. Upon request or at the end of our collaboration, the executable code of these models is fully deleted. <\\\/span><\\\/p>\"}},{\"@type\":\"Question\",\"name\":\"Where is data stored, and what kind of data is saved?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"<p>Dataray directly accesses <strong>machine and process data<\\\/strong> from your connected data platform. To <strong>accelerate AI processing,<\\\/strong> data can be <strong>pre-processed and stored in an<\\\/strong> <strong>optimized format<\\\/strong> if needed.<br \\\/>Additionally, Dataray only stores <strong>configuration settings,<\\\/strong> <strong>usage data, and metadata<\\\/strong> that cannot be directly stored in your platform.<br \\\/>For <strong>cloud deployments<\\\/strong>, all data is stored <strong>exclusively on EU servers<\\\/strong>, fully compliant with <strong>applicable data protection and security standards<\\\/strong>. This ensures maximum performance, transparency, and data security.<\\\/p>\"}},{\"@type\":\"Question\",\"name\":\"What AI models does Dataray use?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"<p><span style=\\\"font-weight: 400;\\\">Dataray uses an <\\\/span><b>optimized set of proven AI models<\\\/b><span style=\\\"font-weight: 400;\\\"> for industrial applications, such as analyzing low-frequency control data or high-frequency sensor data. During training, <strong>multiple models compete<\\\/strong>, and the <strong>best-performing model<\\\/strong> is selected as the <\\\/span>active AI model.<span style=\\\"font-weight: 400;\\\"> For <\\\/span><b>time-series data<\\\/b>, <span style=\\\"font-weight: 400;\\\">Dataray <\\\/span>primarily relies on <b>Deep Learning models<\\\/b>, such as <span style=\\\"font-weight: 400;\\\">neural networks<\\\/span>. For <b>image data<\\\/b>, it <span style=\\\"font-weight: 400;\\\">leverages<\\\/span> <b>pre-trained models<\\\/b>, and <span style=\\\"font-weight: 400;\\\">for<\\\/span> <b>text-based tasks<\\\/b>,<span style=\\\"font-weight: 400;\\\"> it<\\\/span> <span style=\\\"font-weight: 400;\\\">uses<\\\/span> <b>LLMs and Generative AI technology.<\\\/b><span style=\\\"font-weight: 400;\\\"><br \\\/><\\\/span><span style=\\\"font-weight: 400;\\\">As AI experts,<\\\/span> we continuously evaluate new models and add them to <b>Dataray\\u2019s AI Model Repository<\\\/b> when they provide <span style=\\\"font-weight: 400;\\\">additional value<\\\/span>.<\\\/p>\"}},{\"@type\":\"Question\",\"name\":\"How much training data is required?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"<p><span style=\\\"font-weight: 400;\\\">Modern pre-trained models<\\\/span> and Generative AI require <b>very little training data<\\\/b><span style=\\\"font-weight: 400;\\\">. For other Deep Learning models, the required data volume depends on <\\\/span>the <b>desired AI accuracy<\\\/b><strong>,<\\\/strong> <b>the statistical variance<\\\/b>, <span style=\\\"font-weight: 400;\\\">and<\\\/span> <span style=\\\"font-weight: 400;\\\">the<\\\/span> <b>informational value of the training data<\\\/b>.<span style=\\\"font-weight: 400;\\\"> A small number of relevant events, such as rare machine failures, can result in large datasets that are unsuitable for training. As <\\\/span> a<span style=\\\"font-weight: 400;\\\"> general guideline<\\\/span>, we start with <b>several hundred <\\\/b><b>to a few thousand data points<\\\/b>, <span style=\\\"font-weight: 400;\\\">with <\\\/span><span style=\\\"font-weight: 400;\\\">at least<\\\/span> <b>one-third representing relevant events<\\\/b>.<\\\/p>\"}},{\"@type\":\"Question\",\"name\":\"Do training data always need to be labeled?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"<p><b>No<\\\/b><span style=\\\"font-weight: 400;\\\">. Whether labeling is required depends on the task and the desired AI functionality.<\\\/span><\\\/p><p><b>Supervised learning<\\\/b><span style=\\\"font-weight: 400;\\\"> requires labeled data to provide the AI with clear patterns and target values. This is typically applied to <\\\/span><b>classification or fault detection models<\\\/b>.<\\\/p><p><strong>Unsupervised learning<\\\/strong>, on the other hand, works without labeled data and <span style=\\\"font-weight: 400;\\\">identifies patterns on its own<\\\/span>, such as for <b>anomaly detection <\\\/b><b>or clustering<\\\/b><span style=\\\"font-weight: 400;\\\">.<\\\/span><\\\/p><p><span style=\\\"font-weight: 400;\\\">In some cases, a <\\\/span><b>hybrid approach<\\\/b> can be beneficial, where AI is initially trained with a small amount of labeled data and then <strong>continues learning independently<\\\/strong>.<\\\/p>\"}}]}<\/script>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Artificial Intelligence for Machines Dataray\u00ae The Fastest Path to Operational AI Dataray\u00ae is a complete MLOps framework, built for industrial applications. It supports all common time-series AI use cases and is designed for maximum performance and reliability. Dataray\u00ae trains AI models, scales them across all machines, and monitors them in the production phase while\u00a0aiXbrain takes [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":24,"comment_status":"closed","ping_status":"closed","template":"","meta":{"content-type":"","footnotes":""},"class_list":["post-9368","page","type-page","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.0 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Dataray - aiXbrain<\/title>\n<meta name=\"description\" content=\"aiXbrain Dataray\u00ae - AI-supported solutions for industrial processes. Use machine learning for quality optimization, predictive maintenance and process control. Flexible pricing models &amp; individual AI integration. 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