{"id":3508,"date":"2026-11-11T09:09:48","date_gmt":"2026-11-11T08:09:48","guid":{"rendered":"https:\/\/www.ai-predict.de\/ai-predict-color-challenge\/"},"modified":"2026-11-11T10:20:04","modified_gmt":"2026-11-11T09:20:04","slug":"ai-predict-color-challenge","status":"publish","type":"page","link":"https:\/\/www.ai-predict.de\/en\/ai-predict-color-challenge\/","title":{"rendered":"ai-predict Color Challenge"},"content":{"rendered":"\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-1a45zty-0979c9e5e54b139d8490bf9c839c6981\">\n.avia-section.av-1a45zty-0979c9e5e54b139d8490bf9c839c6981{\nbackground-repeat:no-repeat;\nbackground-image:url(https:\/\/www.ai-predict.de\/wp-content\/uploads\/2024\/08\/Header-nur-Pinsel.png);\nbackground-position:50% 50%;\nbackground-attachment:scroll;\n}\n<\/style>\n<div id='av_section_1'  class='avia-section av-1a45zty-0979c9e5e54b139d8490bf9c839c6981 main_color avia-section-default avia-no-border-styling  avia-builder-el-0  el_before_av_section  avia-builder-el-first  avia-full-stretch avia-bg-style-scroll av-minimum-height av-minimum-height-15 av-height-percent  container_wrap sidebar_right'  data-section-bg-repeat='stretch' data-av_minimum_height_pc='15' data-av_min_height_opt='percent'><div class='container av-section-cont-open' ><main  role=\"main\" itemprop=\"mainContentOfPage\"  class='template-page content  av-content-small alpha units'><div class='post-entry post-entry-type-page post-entry-3508'><div class='entry-content-wrapper clearfix'>\n<\/div><\/div><\/main><!-- close content main element --><\/div><\/div><div id='av_section_2'  class='avia-section av-17g3pdi-1cb622d81defed139c0aff646af86804 main_color avia-section-huge avia-no-border-styling  avia-builder-el-1  el_after_av_section  el_before_av_section  avia-bg-style-scroll container_wrap sidebar_right'  ><div class='container av-section-cont-open' ><div class='template-page content  av-content-small alpha units'><div class='post-entry post-entry-type-page post-entry-3508'><div class='entry-content-wrapper clearfix'>\n<div  class='flex_column av-160mcp2-19468133a5d14268652dfdf111e97fe5 av_one_full  avia-builder-el-2  avia-builder-el-no-sibling  first flex_column_div  '     ><section  class='av_textblock_section av-149d1o6-784b10af3ee8de853f14897bb3856dd9 '   itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><div class='avia_textblock'  itemprop=\"text\" ><h1 data-pm-slice=\"1 1 &#091;&#093;\">ai-predict Color Challenge<\/h1>\n<h2>Where does your color software reach its limits?<\/h2>\n<p><strong>Fewer lab tests. More targeted, improved formulation suggestions. New optimization possibilities.<\/strong><\/p>\n<p>Complex color shades, sophisticated effect coatings, or multiple competing formulation goals: Not every development task can be satisfactorily solved with existing color formulation systems.<\/p>\n<p>With the <strong>ai-predict Color Challenge<\/strong>, we work with you to examine a specific application and explore the additional potential offered by the combination of physical models, measurement data, expert knowledge, and artificial intelligence.<\/p>\n<p><strong>Get started with a free problem and data assessment for selected applications.<\/strong><\/p>\n<\/div><\/section><br \/>\n<div  class='avia-buttonrow-wrap av-mw8y7hff-4d4129d1e9aeba10e39da7ab08a4081b avia-buttonrow-left  avia-builder-el-4  el_after_av_textblock  avia-builder-el-last '>\n\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-mw8y7fko-2283430692c5a75e68c39f47be0bc5a7\">\n#top #wrap_all .avia-button.av-mw8y7fko-2283430692c5a75e68c39f47be0bc5a7{\nbackground-color:#e5a100;\nborder-color:#e5a100;\ncolor:#ffffff;\ntransition:all 0.4s ease-in-out;\nmargin-bottom:5px;\nmargin-right:5px;\n}\n#top #wrap_all .avia-button.av-mw8y7fko-2283430692c5a75e68c39f47be0bc5a7 .avia-svg-icon svg:first-child{\nfill:#ffffff;\nstroke:#ffffff;\n}\n<\/style>\n<a href='#challenge-anfrage'  class='avia-button av-mw8y7fko-2283430692c5a75e68c39f47be0bc5a7 avia-icon_select-no avia-size-small'   aria-label=\"Request the Color Challenge Now\"><span class='avia_iconbox_title' >Request the Color Challenge Now<\/span><\/a>\n<\/div><\/p><\/div>\n\n<\/div><\/div><\/div><!-- close content main div --><\/div><\/div>\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-rpvehy-2d4923950c7edbbf4c89cd77acb21184\">\n.avia-section.av-rpvehy-2d4923950c7edbbf4c89cd77acb21184{\nbackground-color:#f2f2f2;\nbackground-image:unset;\n}\n<\/style>\n<div id='av_section_3'  class='avia-section av-rpvehy-2d4923950c7edbbf4c89cd77acb21184 main_color avia-section-default avia-no-border-styling  avia-builder-el-5  el_after_av_section  el_before_av_section  avia-bg-style-scroll container_wrap sidebar_right'  ><div class='container av-section-cont-open' ><div class='template-page content  av-content-small alpha units'><div class='post-entry post-entry-type-page post-entry-3508'><div class='entry-content-wrapper clearfix'>\n<div class='av-column-wrapper-individual av-mobile-columns-flex av-columns-reverse'><div  class='flex_column av-2at0km-0a35ac9f7f0e9ee96332596508cb9452 av_one_third  avia-builder-el-6  el_before_av_two_third  avia-builder-el-first  first flex_column_div  '     ><style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-k1sx06-7f4a5dd227c433cbc6f6629430e08005\">\n.avia-image-container.av-k1sx06-7f4a5dd227c433cbc6f6629430e08005 img.avia_image{\nbox-shadow:none;\n}\n.avia-image-container.av-k1sx06-7f4a5dd227c433cbc6f6629430e08005 .av-image-caption-overlay-center{\ncolor:#ffffff;\n}\n<\/style>\n<div  class='avia-image-container av-k1sx06-7f4a5dd227c433cbc6f6629430e08005 av-styling- avia-align-center  avia-builder-el-7  avia-builder-el-no-sibling '   itemprop=\"image\" itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/ImageObject\" ><div class=\"avia-image-container-inner\"><div class=\"avia-image-overlay-wrap\"><img decoding=\"async\" fetchpriority=\"high\" class='wp-image-3566 avia-img-lazy-loading-not-3566 avia_image ' src=\"https:\/\/www.ai-predict.de\/wp-content\/uploads\/2026\/11\/KI-gestuetztes-Farblabor-trifft-Produktion-1030x773.png\" alt='Farblabor trifft Produktion' title='Representation of a component&#039;s expected behavior (red) \/ actual behavior (blue) \/ reliability (black).'  height=\"773\" width=\"1030\"  itemprop=\"thumbnailUrl\" srcset=\"https:\/\/www.ai-predict.de\/wp-content\/uploads\/2026\/11\/KI-gestuetztes-Farblabor-trifft-Produktion-1030x773.png 1030w, https:\/\/www.ai-predict.de\/wp-content\/uploads\/2026\/11\/KI-gestuetztes-Farblabor-trifft-Produktion-300x225.png 300w, https:\/\/www.ai-predict.de\/wp-content\/uploads\/2026\/11\/KI-gestuetztes-Farblabor-trifft-Produktion-768x576.png 768w, https:\/\/www.ai-predict.de\/wp-content\/uploads\/2026\/11\/KI-gestuetztes-Farblabor-trifft-Produktion-705x529.png 705w, https:\/\/www.ai-predict.de\/wp-content\/uploads\/2026\/11\/KI-gestuetztes-Farblabor-trifft-Produktion.png 1448w\" sizes=\"(max-width: 1030px) 100vw, 1030px\" \/><\/div><\/div><\/div><\/div><div  class='flex_column av-q1mrie-203d1c40080fb4e68939d1d00df72045 av_two_third  avia-builder-el-8  el_after_av_one_third  avia-builder-el-last  flex_column_div  '     ><section  class='av_textblock_section av-nov2ee-537d813c1aebb77a9a86703a1aff23b1 '   itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><div class='avia_textblock'  itemprop=\"text\" ><h2 data-pm-slice=\"1 3 &#091;&#093;\">Your development challenge deserves a better solution.<\/h2>\n<p>You know the challenge: Achieving a specific color shade requires numerous rounds of adjustments; a formulation reacts unexpectedly to changes in raw materials; or additional requirements complicate the optimization process.<\/p>\n<p><strong>We help you identify new approaches:<\/strong><\/p>\n<ul data-spread=\"false\">\n<li><strong>Reduce development effort:<\/strong> Identify opportunities to plan lab tests and correction cycles more effectively.<\/li>\n<li><strong>Make better use of existing data:<\/strong> Incorporate formulation histories, color measurements, and existing process knowledge into the evaluation.<\/li>\n<li><strong>Make more informed decisions:<\/strong> Evaluate results, model limitations, and uncertainties in a transparent manner.<\/li>\n<li><strong>Unlock further potential:<\/strong> Identify opportunities for the joint optimization of color, costs, material usage, or process properties.<\/li>\n<\/ul>\n<\/div><\/section><br \/>\n<div  class='avia-buttonrow-wrap av-mvtnrxq9-36785161f81afcf3e8c0ffe465c6ebd9 avia-buttonrow-left  avia-builder-el-10  el_after_av_textblock  avia-builder-el-last '>\n\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-mvtnrufi-895765c33769084c6604aedd4fa38624\">\n#top #wrap_all .avia-button.av-mvtnrufi-895765c33769084c6604aedd4fa38624{\nbackground-color:#e5a100;\nborder-color:#e5a100;\ncolor:#ffffff;\ntransition:all 0.4s ease-in-out;\nmargin-bottom:5px;\nmargin-right:5px;\n}\n#top #wrap_all .avia-button.av-mvtnrufi-895765c33769084c6604aedd4fa38624 .avia-svg-icon svg:first-child{\nfill:#ffffff;\nstroke:#ffffff;\n}\n<\/style>\n<a href='#challenge-anfrage'  class='avia-button av-mvtnrufi-895765c33769084c6604aedd4fa38624 avia-icon_select-no avia-size-small'   aria-label=\"Have the potential for optimization assessed\"><span class='avia_iconbox_title' >Have the potential for optimization assessed<\/span><\/a>\n<\/div><\/p><\/div><\/div><!--close flex column wrapper. Autoclose: 1 -->\n\n<\/div><\/div><\/div><!-- close content main div --><\/div><\/div><div id='av_section_4'  class='avia-section av-nggvpk-03c39e71ab524ed90787c63e98fbab1a main_color avia-section-huge avia-no-border-styling  avia-builder-el-11  el_after_av_section  el_before_av_section  avia-bg-style-scroll container_wrap sidebar_right'  ><div class='container av-section-cont-open' ><div class='template-page content  av-content-small alpha units'><div class='post-entry post-entry-type-page post-entry-3508'><div class='entry-content-wrapper clearfix'>\n<div  class='flex_column av-n2nerc-dd2a2d14fd5903f40a036347796b1701 av_two_third  avia-builder-el-12  el_before_av_one_third  avia-builder-el-first  first flex_column_div  '     ><section  class='av_textblock_section av-mwbu6y8z-b8eb9f3a74686ec901d4075698b7442c '   itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><div class='avia_textblock'  itemprop=\"text\" ><h2 data-pm-slice=\"1 1 &#091;&#093;\">Step 1: Understanding Your Challenge.<\/h2>\n<p><strong>Free of charge. No obligation. No changes to your existing software and hardware infrastructure.<\/strong><\/p>\n<p>In a joint discussion, we\u2019ll examine a specific color or formulation case that your current solution does not adequately address.<\/p>\n<p>We\u2019re particularly interested in your current approach, the existing formulation and measurement data, the current testing effort, and the desired result.<\/p>\n<p>You will then receive an initial assessment of whether our physics-plus-AI approach appears suitable for your problem and what data is needed for a more in-depth analysis.<\/p>\n<p><strong>The benefit to you:<\/strong> You\u2019ll find out whether a more detailed model calculation makes sense before investing additional resources.<\/p>\n<\/div><\/section><br \/>\n<div  class='avia-buttonrow-wrap av-kaixyg-e6bd71c7c6f994c67714a9e0b7fd65ba avia-buttonrow-left  avia-builder-el-14  el_after_av_textblock  avia-builder-el-last '>\n\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-1x556g-5bef17621cab847cd63ab61f80c7b805\">\n#top #wrap_all .avia-button.av-1x556g-5bef17621cab847cd63ab61f80c7b805{\nbackground-color:#e5a100;\nborder-color:#e5a100;\ncolor:#ffffff;\ntransition:all 0.4s ease-in-out;\nmargin-bottom:5px;\nmargin-right:5px;\n}\n#top #wrap_all .avia-button.av-1x556g-5bef17621cab847cd63ab61f80c7b805 .avia-svg-icon svg:first-child{\nfill:#ffffff;\nstroke:#ffffff;\n}\n<\/style>\n<a href='#challenge-anfrage'  class='avia-button av-1x556g-5bef17621cab847cd63ab61f80c7b805 avia-icon_select-no avia-size-small'   aria-label=\"Schedule a Free Problem Check\"><span class='avia_iconbox_title' >Schedule a Free Problem Check<\/span><\/a>\n<\/div><\/p><\/div><div  class='flex_column av-hx8t9k-a9298b41e791ceb5a5cd22f4b3fa1554 av_one_third  avia-builder-el-15  el_after_av_two_third  avia-builder-el-last  flex_column_div  '     ><style type=\"text\/css\" data-created_by=\"avia_inline_auto\" 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srcset=\"https:\/\/www.ai-predict.de\/wp-content\/uploads\/2026\/11\/Screenshot-2026-11-11-101007-1030x581.png 1030w, https:\/\/www.ai-predict.de\/wp-content\/uploads\/2026\/11\/Screenshot-2026-11-11-101007-300x169.png 300w, https:\/\/www.ai-predict.de\/wp-content\/uploads\/2026\/11\/Screenshot-2026-11-11-101007-768x433.png 768w, https:\/\/www.ai-predict.de\/wp-content\/uploads\/2026\/11\/Screenshot-2026-11-11-101007-1536x867.png 1536w, https:\/\/www.ai-predict.de\/wp-content\/uploads\/2026\/11\/Screenshot-2026-11-11-101007-2048x1156.png 2048w, https:\/\/www.ai-predict.de\/wp-content\/uploads\/2026\/11\/Screenshot-2026-11-11-101007-1500x846.png 1500w, https:\/\/www.ai-predict.de\/wp-content\/uploads\/2026\/11\/Screenshot-2026-11-11-101007-705x398.png 705w\" sizes=\"(max-width: 1030px) 100vw, 1030px\" \/><\/div><\/div><\/div><\/div>\n\n<\/div><\/div><\/div><!-- close content main div --><\/div><\/div>\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-dwe9i0-d7aeb815db342e71f505c08f7941c0dd\">\n.avia-section.av-dwe9i0-d7aeb815db342e71f505c08f7941c0dd{\nbackground-color:#f2f2f2;\nbackground-image:unset;\n}\n<\/style>\n<div id='av_section_5'  class='avia-section av-dwe9i0-d7aeb815db342e71f505c08f7941c0dd main_color avia-section-default avia-no-border-styling  avia-builder-el-17  el_after_av_section  el_before_av_section  avia-bg-style-scroll container_wrap sidebar_right'  ><div class='container av-section-cont-open' ><div class='template-page content  av-content-small alpha units'><div class='post-entry post-entry-type-page post-entry-3508'><div class='entry-content-wrapper clearfix'>\n<div class='av-column-wrapper-individual av-mobile-columns-flex av-columns-reverse'><div  class='flex_column av-d1w86g-63ce57ad5301968a41ef22fe63550eb1 av_one_third  avia-builder-el-18  el_before_av_two_third  avia-builder-el-first  first flex_column_div  '     ><p>\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-a5ystk-4aba2ee2dbccd88066d00fe34a78a088\">\n.avia-image-container.av-a5ystk-4aba2ee2dbccd88066d00fe34a78a088 img.avia_image{\nbox-shadow:none;\n}\n.avia-image-container.av-a5ystk-4aba2ee2dbccd88066d00fe34a78a088 .av-image-caption-overlay-center{\ncolor:#ffffff;\n}\n<\/style>\n<div  class='avia-image-container av-a5ystk-4aba2ee2dbccd88066d00fe34a78a088 av-styling- avia-align-center  avia-builder-el-19  el_before_av_image  avia-builder-el-first '   itemprop=\"image\" itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/ImageObject\" ><div class=\"avia-image-container-inner\"><div class=\"avia-image-overlay-wrap\"><img decoding=\"async\" class='wp-image-3378 avia-img-lazy-loading-not-3378 avia_image ' src=\"https:\/\/www.ai-predict.de\/wp-content\/uploads\/2026\/11\/Optimierungsergebnis-im-Formulierungsdashboard-300x169.png\" alt='ai-core optimization' title='Representation of a component&#039;s expected behavior (red) \/ actual behavior (blue) \/ reliability 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\/><\/div><\/div><\/div><br \/>\n\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-mwbwnch7-1cec21fe723c1ce9353e432f91bf7d33\">\n.avia-image-container.av-mwbwnch7-1cec21fe723c1ce9353e432f91bf7d33 img.avia_image{\nbox-shadow:none;\n}\n.avia-image-container.av-mwbwnch7-1cec21fe723c1ce9353e432f91bf7d33 .av-image-caption-overlay-center{\ncolor:#ffffff;\n}\n<\/style>\n<div  class='avia-image-container av-mwbwnch7-1cec21fe723c1ce9353e432f91bf7d33 av-styling- avia-align-center  avia-builder-el-20  el_after_av_image  avia-builder-el-last '   itemprop=\"image\" itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/ImageObject\" ><div class=\"avia-image-container-inner\"><div class=\"avia-image-overlay-wrap\"><img decoding=\"async\" class='wp-image-3570 avia-img-lazy-loading-not-3570 avia_image ' src=\"https:\/\/www.ai-predict.de\/wp-content\/uploads\/2026\/11\/Farbmesstechnik-im-vernetzten-Labor-1030x580.png\" alt='Skalierung' title='Representation of a component&#039;s expected behavior (red) \/ actual behavior (blue) \/ reliability (black).'  height=\"580\" width=\"1030\"  itemprop=\"thumbnailUrl\" srcset=\"https:\/\/www.ai-predict.de\/wp-content\/uploads\/2026\/11\/Farbmesstechnik-im-vernetzten-Labor-1030x580.png 1030w, https:\/\/www.ai-predict.de\/wp-content\/uploads\/2026\/11\/Farbmesstechnik-im-vernetzten-Labor-300x169.png 300w, https:\/\/www.ai-predict.de\/wp-content\/uploads\/2026\/11\/Farbmesstechnik-im-vernetzten-Labor-768x432.png 768w, https:\/\/www.ai-predict.de\/wp-content\/uploads\/2026\/11\/Farbmesstechnik-im-vernetzten-Labor-1536x865.png 1536w, https:\/\/www.ai-predict.de\/wp-content\/uploads\/2026\/11\/Farbmesstechnik-im-vernetzten-Labor-1500x845.png 1500w, https:\/\/www.ai-predict.de\/wp-content\/uploads\/2026\/11\/Farbmesstechnik-im-vernetzten-Labor-705x397.png 705w, https:\/\/www.ai-predict.de\/wp-content\/uploads\/2026\/11\/Farbmesstechnik-im-vernetzten-Labor.png 1671w\" sizes=\"(max-width: 1030px) 100vw, 1030px\" \/><\/div><\/div><\/div><\/p><\/div><div  class='flex_column av-zlso8-906dd160dfa9138776af1bb94bb97f16 av_two_third  avia-builder-el-21  el_after_av_one_third  avia-builder-el-last  flex_column_div  '     ><section  class='av_textblock_section av-mwbu7c58-1a9263f616f10c1153c3013b092b8015 '   itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><div class='avia_textblock'  itemprop=\"text\" ><h2 data-pm-slice=\"1 1 &#091;&#093;\">Step 2: What can actually be achieved with your data?<\/h2>\n<p><strong>A specific challenge is transformed into a transparent calculation.<\/strong><\/p>\n<p>For selected use cases, we agree on a clearly defined benchmark, based on a non-disclosure agreement (NDA) if necessary.<\/p>\n<p>We use existing calibration curves, formulation histories, and measurement data as a starting point, along with one to three jointly selected target or test cases. We take relevant raw material, formulation, and process limits into account during the evaluation.<\/p>\n<p><strong>What You Can Expect:<\/strong><\/p>\n<ul data-spread=\"false\">\n<li>An assessment of data quality and data coverage<\/li>\n<li>A physically based model or formula calculation for the agreed-upon application<\/li>\n<li>An evaluation of model quality, uncertainties, and limitations, to the extent permitted by the available data<\/li>\n<li>Where applicable, formulation or correction suggestions, as well as recommendations for targeted additional experiments (DoE)<\/li>\n<li>For suitable use cases, simulation of alternative formulation, raw material, or process scenarios<\/li>\n<\/ul>\n<p><strong>We will explain the results together and, where possible, demonstrate relevant calculations directly in the simulator.<\/strong><\/p>\n<p>This way, you receive not just a calculation, but a solid foundation for your next development decisions.<\/p>\n<p>We will coordinate the scope, data requirements, and terms of the benchmark together in advance.<\/p>\n<\/div><\/section><br \/>\n<div  class='avia-buttonrow-wrap av-mwbu7z9x-26635a9c5cc168b102b93344ad779549 avia-buttonrow-left  avia-builder-el-23  el_after_av_textblock  avia-builder-el-last '>\n\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-mwbu7y8e-54592326227d3fdf4e37036cbbdccf3c\">\n#top #wrap_all .avia-button.av-mwbu7y8e-54592326227d3fdf4e37036cbbdccf3c{\nbackground-color:#e5a100;\nborder-color:#e5a100;\ncolor:#ffffff;\ntransition:all 0.4s ease-in-out;\nmargin-bottom:5px;\nmargin-right:5px;\n}\n#top #wrap_all .avia-button.av-mwbu7y8e-54592326227d3fdf4e37036cbbdccf3c .avia-svg-icon svg:first-child{\nfill:#ffffff;\nstroke:#ffffff;\n}\n<\/style>\n<a href='#challenge-anfrage'  class='avia-button av-mwbu7y8e-54592326227d3fdf4e37036cbbdccf3c avia-icon_select-no avia-size-small'   aria-label=\" Discuss Your Own Use Case\"><span class='avia_iconbox_title' > Discuss Your Own Use Case<\/span><\/a>\n<\/div><\/p><\/div><\/div><!--close flex column wrapper. Autoclose: 1 -->\n\n<\/div><\/div><\/div><!-- close content main div --><\/div><\/div><div id='av_section_6'  class='avia-section av-7oif6g-bc2f786a0c1d9f5cbab923c31d49a402 main_color avia-section-huge avia-no-border-styling  avia-builder-el-24  el_after_av_section  el_before_av_section  avia-bg-style-scroll container_wrap sidebar_right'  ><div class='container av-section-cont-open' ><div class='template-page content  av-content-small alpha units'><div class='post-entry post-entry-type-page post-entry-3508'><div class='entry-content-wrapper clearfix'>\n<div  class='flex_column av-65hr60-b66b3768b2057c858127b19d50728718 av_one_full  avia-builder-el-25  avia-builder-el-no-sibling  first flex_column_div  '     ><section  class='av_textblock_section av-mwbu89hv-f5517f40e1dcf2c1431caa36c68ce09d '   itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><div class='avia_textblock'  itemprop=\"text\" ><h2 data-pm-slice=\"1 1 &#091;&#093;\">And if the approach proves effective?<\/h2>\n<p><strong>From color challenges to intelligent formulation optimization.<\/strong><\/p>\n<p>A successful benchmark can serve as the starting point for further applications.<\/p>\n<p>After all, our approach is not limited to calculating individual color shades. With suitable data and models, other target parameters can also be taken into account, such as material costs, viscosity, coating properties, or UV curing behavior.<\/p>\n<p>Integration and automation, international rollout, various user levels (from a one-click solution to R&#038;D support or production deployment): Step by step, a customized solution for <strong>multi-target optimization<\/strong> is developed, tailored to your products, processes, and development goals.<\/p>\n<\/div><\/section><br \/>\n<div  class='avia-buttonrow-wrap av-4o367c-439e934ceb7efe51da4dda27c3c919d4 avia-buttonrow-left  avia-builder-el-27  el_after_av_textblock  avia-builder-el-last '>\n\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-2ffd60-4310c1a7eecfbe483334f2d6cc4ab974\">\n#top #wrap_all .avia-button.av-2ffd60-4310c1a7eecfbe483334f2d6cc4ab974{\nbackground-color:#e5a100;\nborder-color:#e5a100;\ncolor:#ffffff;\ntransition:all 0.4s ease-in-out;\nmargin-bottom:5px;\nmargin-right:5px;\n}\n#top #wrap_all .avia-button.av-2ffd60-4310c1a7eecfbe483334f2d6cc4ab974 .avia-svg-icon svg:first-child{\nfill:#ffffff;\nstroke:#ffffff;\n}\n<\/style>\n<a href='#challenge-anfrage'  class='avia-button av-2ffd60-4310c1a7eecfbe483334f2d6cc4ab974 avia-icon_select-no avia-size-small'   aria-label=\"Request the Color Challenge Now\"><span class='avia_iconbox_title' >Request the Color Challenge Now<\/span><\/a>\n<\/div><\/p><\/div>\n\n<\/div><\/div><\/div><!-- close content main div --><\/div><\/div>\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-10vf92-6f2f1ebc66c37c626ea398ac3708803d\">\n.avia-section.av-10vf92-6f2f1ebc66c37c626ea398ac3708803d{\nbackground-color:#003366;\nbackground-image:unset;\n}\n<\/style>\n<div id='challenge-anfrage'  class='avia-section av-10vf92-6f2f1ebc66c37c626ea398ac3708803d main_color avia-section-large avia-no-border-styling  avia-builder-el-28  el_after_av_section  avia-builder-el-last  avia-bg-style-scroll container_wrap sidebar_right'  ><div class='container av-section-cont-open' ><div class='template-page content  av-content-small alpha units'><div class='post-entry post-entry-type-page post-entry-3508'><div class='entry-content-wrapper clearfix'>\n<div  class='flex_column av-9fprti-834ca85c328b7a62ee7a51d81b3b42b0 av_two_third  avia-builder-el-29  el_before_av_one_third  avia-builder-el-first  first flex_column_div  '     ><style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-84s67a-cd403b9c6e3cccbd9e038a46080cdbb7\">\n#top .av_textblock_section.av-84s67a-cd403b9c6e3cccbd9e038a46080cdbb7 .avia_textblock{\ncolor:#ffffff;\n}\n<\/style>\n<section  class='av_textblock_section av-84s67a-cd403b9c6e3cccbd9e038a46080cdbb7 '   itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><div class='avia_textblock av_inherit_color'  itemprop=\"text\" ><h3 data-pm-slice=\"1 1 &#091;&#093;\"><strong>Your challenging color or formulation problem is our starting point.<\/strong><\/h3>\n<p>Tell us about your challenge. Together, we\u2019ll explore whether our physics-plus-AI approach can open up new avenues for solutions.<\/p>\n<p><strong>The initial problem and data assessment is free of charge and non-binding for selected use cases.<\/strong><\/p>\n<\/div><\/section><br \/>\n<form action=\"https:\/\/www.ai-predict.de\/en\/ai-predict-color-challenge\/\" method=\"post\" data-fields-with-error=\"Found errors in the following field(s):\" class=\"avia_ajax_form av-form-labels-visible   avia-builder-el-31  el_after_av_textblock  el_before_av_textblock  av-custom-form-color av-light-form \" data-avia-form-id=\"1\" data-avia-redirect=''  aria-label='Kontaktformular' ><fieldset><p class='  first_form  form_element form_fullwidth' id='element_avia_1_1'><label for=\"avia_1_1\">Name <abbr class=\"required\" title=\"required\">*<\/abbr><\/label> <input name=\"avia_1_1\" class=\"text_input is_empty\" type=\"text\" id=\"avia_1_1\" value=\"\" \/><\/p><p class='  first_form  form_element form_fullwidth' id='element_avia_2_1'><label for=\"avia_2_1\">Company <abbr class=\"required\" title=\"required\">*<\/abbr><\/label> <input name=\"avia_2_1\" class=\"text_input is_empty\" type=\"text\" id=\"avia_2_1\" value=\"\" \/><\/p><p class='  first_form  form_element form_fullwidth' id='element_avia_3_1'><label for=\"avia_3_1\">Business Email <abbr class=\"required\" title=\"required\">*<\/abbr><\/label> <input name=\"avia_3_1\" class=\"text_input is_email\" type=\"text\" id=\"avia_3_1\" value=\"\" \/><\/p><p class='  first_form  form_element form_fullwidth' id='element_avia_4_1'><label for=\"avia_4_1\" class=\"textare_label hidden textare_label_avia_4_1\">Your color or formulation challenge<\/label><textarea  name=\"avia_4_1\" class=\"text_area \" cols=\"40\" rows=\"7\" id=\"avia_4_1\" ><\/textarea><\/p><p class='  first_form  form_element form_fullwidth' id='element_avia_5_1'><label for=\"avia_5_1\">Currently Used (Color) Software<\/label> <input name=\"avia_5_1\" class=\"text_input \" type=\"text\" id=\"avia_5_1\" value=\"\" \/><\/p><p class='  first_form  form_element form_fullwidth' id='element_avia_6_1'><label for=\"avia_6_1\">What data is already available?<\/label> <input name=\"avia_6_1\" class=\"text_input \" type=\"text\" id=\"avia_6_1\" value=\"\" \/><\/p><p class=\"hidden\"><input type=\"text\" name=\"avia_7_1\" class=\"hidden \" id=\"avia_7_1\" value=\"\" \/><\/p><p class='   form_element form_fullwidth' id='element_avia_8_1'><span class='value_verifier_label'>3 + 0 = ?<\/span><input name=\"avia_8_1_verifier\" type=\"hidden\" id=\"avia_8_1_verifier\" value=\"553367443\"\/><label for=\"avia_8_1\">Please prove that you are human by solving the equation <abbr class=\"required\" title=\"required\">*<\/abbr><\/label><input name=\"avia_8_1\" class=\"text_input captcha\" type=\"text\" id=\"avia_8_1\" value=\"\"\/><\/p><p class=\"form_element \"><input type=\"hidden\" value=\"1\" name=\"avia_generated_form1\" \/><input type=\"submit\" value=\"Send\" class=\"button\"  data-sending-label=\"Sending\"\/><\/p><\/fieldset><\/form><div id=\"ajaxresponse_1\" class=\"ajaxresponse ajaxresponse_1 hidden\"><\/div><br \/>\n\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-mwbux82j-83fb9cdcdb842470d66b343d7eba0957\">\n#top .av_textblock_section.av-mwbux82j-83fb9cdcdb842470d66b343d7eba0957 .avia_textblock{\ncolor:#ffffff;\n}\n<\/style>\n<section  class='av_textblock_section av-mwbux82j-83fb9cdcdb842470d66b343d7eba0957 '   itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><div class='avia_textblock av_inherit_color'  itemprop=\"text\" ><p data-pm-slice=\"1 1 &#091;&#093;\"><strong>Privacy Notice<\/strong><\/p>\n<p>We use your information exclusively to process your inquiry. Please do not submit any confidential formulation or raw material data at this time. We will coordinate a secure data exchange and, if necessary, a non-disclosure agreement (NDA) with you personally.<\/p>\n<p>For more information, please see our Privacy Policy.<\/p>\n<\/div><\/section><\/p><\/div>\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-4pq36e-ecb2386ca05a0a7d8097690ac3ac8f47\">\n.flex_column.av-4pq36e-ecb2386ca05a0a7d8097690ac3ac8f47{\npadding:0 60px 30px 60px;\n}\n\n@media only screen and (max-width: 479px){ \n.flex_column.av-4pq36e-ecb2386ca05a0a7d8097690ac3ac8f47{\npadding:0px 30px 30px 30px;\n}\n}\n<\/style>\n<div  class='flex_column av-4pq36e-ecb2386ca05a0a7d8097690ac3ac8f47 av_one_third  avia-builder-el-33  el_after_av_two_third  avia-builder-el-last  flex_column_div  '     ><p>\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-2u7bgm-698af70f2790fbb93cb89d5708239cde\">\n.avia-image-container.av-2u7bgm-698af70f2790fbb93cb89d5708239cde img.avia_image{\nbox-shadow:none;\n}\n.avia-image-container.av-2u7bgm-698af70f2790fbb93cb89d5708239cde .av-image-caption-overlay-center{\ncolor:#ffffff;\n}\n<\/style>\n<div  class='avia-image-container av-2u7bgm-698af70f2790fbb93cb89d5708239cde av-styling-circle avia-align-center  avia-builder-el-34  el_before_av_textblock  avia-builder-el-first '   itemprop=\"image\" itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/ImageObject\" ><div class=\"avia-image-container-inner\"><div class=\"avia-image-overlay-wrap\"><img decoding=\"async\" class='wp-image-2897 avia-img-lazy-loading-not-2897 avia_image ' src=\"https:\/\/www.ai-predict.de\/wp-content\/uploads\/2026\/10\/MH-bw.png\" alt='Mathias Huck' title='MH bw'  height=\"1254\" width=\"1254\"  itemprop=\"thumbnailUrl\" srcset=\"https:\/\/www.ai-predict.de\/wp-content\/uploads\/2026\/10\/MH-bw.png 1254w, https:\/\/www.ai-predict.de\/wp-content\/uploads\/2026\/10\/MH-bw-300x300.png 300w, https:\/\/www.ai-predict.de\/wp-content\/uploads\/2026\/10\/MH-bw-1030x1030.png 1030w, https:\/\/www.ai-predict.de\/wp-content\/uploads\/2026\/10\/MH-bw-80x80.png 80w, https:\/\/www.ai-predict.de\/wp-content\/uploads\/2026\/10\/MH-bw-768x768.png 768w, https:\/\/www.ai-predict.de\/wp-content\/uploads\/2026\/10\/MH-bw-36x36.png 36w, https:\/\/www.ai-predict.de\/wp-content\/uploads\/2026\/10\/MH-bw-180x180.png 180w, https:\/\/www.ai-predict.de\/wp-content\/uploads\/2026\/10\/MH-bw-705x705.png 705w\" sizes=\"(max-width: 1254px) 100vw, 1254px\" \/><\/div><\/div><\/div><br \/>\n\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-35qxtk-fc0e3ca17f0cf325dce3ac57aed0306c\">\n#top .av_textblock_section.av-35qxtk-fc0e3ca17f0cf325dce3ac57aed0306c .avia_textblock{\ncolor:#ffffff;\n}\n<\/style>\n<section  class='av_textblock_section av-35qxtk-fc0e3ca17f0cf325dce3ac57aed0306c '   itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><div class='avia_textblock av_inherit_color'  itemprop=\"text\" ><p>You are also welcome to contact us directly by email or phone:<\/p>\n<p><em>Dr. Mathias Huck<\/em><br \/>\nHead of Marketing &#038; Sales<\/p>\n<p>Phone: <a href=\"tel:+491703281473\">+49 170 3281 473<\/a><br \/>\nEmail: <a href=\"mailto:mathias.huck@ai-predict.de\">mathias.huck@ai-predict.de<\/a><\/p>\n<\/div><\/section><\/p><\/div><\/div><\/div><\/div><!-- close content main div --><\/div><\/div><div id='after_section_7'  class='main_color av_default_container_wrap container_wrap sidebar_right'  ><div class='container av-section-cont-open' ><div class='template-page content  av-content-small alpha units'><div class='post-entry post-entry-type-page post-entry-3508'><div class='entry-content-wrapper clearfix'>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":3,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-3508","page","type-page","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.8 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Color Challenge | ai-predict<\/title>\n<meta name=\"description\" content=\"Where does your color software fall short? Discover the ai-predict Color Challenge, which offers a free problem and data assessment for complex color formulations.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.ai-predict.de\/en\/ai-predict-color-challenge\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Color Challenge | ai-predict\" \/>\n<meta property=\"og:description\" content=\"Where does your color software fall short? 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