{"id":6923,"date":"2026-10-27T15:36:16","date_gmt":"2026-10-27T14:36:16","guid":{"rendered":"https:\/\/www.mosaicfactor.com\/?post_type=proyecto&#038;p=6923"},"modified":"2026-10-27T15:36:21","modified_gmt":"2026-10-27T14:36:21","slug":"ai4sdv","status":"publish","type":"proyecto","link":"https:\/\/www.mosaicfactor.com\/es\/projects\/ai4sdv\/","title":{"rendered":"AI4SDV"},"content":{"rendered":"<p>[et_pb_section fb_built=\u00bb1&#8243; admin_label=\u00bbsection\u00bb _builder_version=\u00bb4.27.2&#8243; custom_margin=\u00bb0px||||false|false\u00bb custom_padding=\u00bb0px||||false|false\u00bb locked=\u00bboff\u00bb global_colors_info=\u00bb{}\u00bb][et_pb_row admin_label=\u00bbrow\u00bb _builder_version=\u00bb4.27.2&#8243; background_size=\u00bbinitial\u00bb background_position=\u00bbtop_left\u00bb background_repeat=\u00bbrepeat\u00bb width=\u00bb100%\u00bb global_colors_info=\u00bb{}\u00bb][et_pb_column type=\u00bb4_4&#8243; _builder_version=\u00bb4.16&#8243; custom_padding=\u00bb|||\u00bb global_colors_info=\u00bb{}\u00bb custom_padding__hover=\u00bb|||\u00bb][et_pb_text _builder_version=\u00bb4.27.4&#8243; _module_preset=\u00bbdefault\u00bb text_font_size=\u00bb18px\u00bb text_line_height=\u00bb1.6em\u00bb global_colors_info=\u00bb{}\u00bb]<\/p>\n<p>AI-assisted methods and tools for Software-Defined Vehicle engineering automation<\/p>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row admin_label=\u00bbrow\u00bb _builder_version=\u00bb4.27.2&#8243; background_size=\u00bbinitial\u00bb background_position=\u00bbtop_left\u00bb background_repeat=\u00bbrepeat\u00bb width=\u00bb100%\u00bb locked=\u00bboff\u00bb global_colors_info=\u00bb{}\u00bb][et_pb_column type=\u00bb4_4&#8243; _builder_version=\u00bb4.16&#8243; custom_padding=\u00bb|||\u00bb global_colors_info=\u00bb{}\u00bb custom_padding__hover=\u00bb|||\u00bb][et_pb_text _builder_version=\u00bb4.27.2&#8243; _module_preset=\u00bbdefault\u00bb text_font_size=\u00bb18px\u00bb text_line_height=\u00bb1.6em\u00bb custom_margin=\u00bb||0em||false|false\u00bb global_colors_info=\u00bb{}\u00bb]<\/p>\n<h2>Client<\/h2>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row admin_label=\u00bbrow\u00bb _builder_version=\u00bb4.27.2&#8243; 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_module_preset=\u00bbdefault\u00bb width=\u00bb120px\u00bb max_width=\u00bb120px\u00bb custom_css_main_element=\u00bbmax-width:fit-content;\u00bb global_colors_info=\u00bb{}\u00bb][\/et_pb_image][et_pb_text _builder_version=\u00bb4.27.2&#8243; _module_preset=\u00bbdefault\u00bb text_font_size=\u00bb18px\u00bb text_line_height=\u00bb1.6em\u00bb custom_margin=\u00bb||0em||false|false\u00bb global_colors_info=\u00bb{}\u00bb]<\/p>\n<h2>Partners<\/h2>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row module_id=\u00bbfila-clientes\u00bb _builder_version=\u00bb4.27.2&#8243; _module_preset=\u00bbdefault\u00bb width=\u00bb95%\u00bb custom_padding=\u00bb0em||0em||true|false\u00bb custom_css_free_form=\u00bbselector .et_pb_module{||  padding:0 1em;||  min-width:12%;||}\u00bb locked=\u00bboff\u00bb global_colors_info=\u00bb{}\u00bb][et_pb_column type=\u00bb4_4&#8243; _builder_version=\u00bb4.27.2&#8243; _module_preset=\u00bbdefault\u00bb custom_css_main_element=\u00bbdisplay:flex;||align-items:center;||flex-flow:wrap;;\u00bb global_colors_info=\u00bb{}\u00bb][et_pb_image src=\u00bbhttps:\/\/www.mosaicfactor.com\/wp-content\/uploads\/2026\/10\/Screenshot-2026-10-27-at-2.32.59-PM.webp\u00bb alt=\u00bbAVL logo\u00bb title_text=\u00bbScreenshot-2026-10-27-at-2.32.59\u202fPM\u00bb url=\u00bbhttps:\/\/www.avl.com\u00bb url_new_window=\u00bbon\u00bb _builder_version=\u00bb4.27.4&#8243; 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_builder_version=\u00bb4.27.2&#8243; _module_preset=\u00bbdefault\u00bb custom_css_main_element=\u00bbdisplay:flex;||align-items:center;||flex-flow:wrap;;\u00bb global_colors_info=\u00bb{}\u00bb][et_pb_image src=\u00bbhttps:\/\/www.mosaicfactor.com\/wp-content\/uploads\/2026\/10\/sintef.webp\u00bb title_text=\u00bbsintef\u00bb url=\u00bbhttps:\/\/www.sintef.no\u00bb url_new_window=\u00bbon\u00bb _builder_version=\u00bb4.27.4&#8243; _module_preset=\u00bbdefault\u00bb width=\u00bb180px\u00bb max_width=\u00bb180px\u00bb custom_css_main_element=\u00bbmax-width:fit-content;\u00bb global_colors_info=\u00bb{}\u00bb][\/et_pb_image][et_pb_image src=\u00bbhttps:\/\/www.mosaicfactor.com\/wp-content\/uploads\/2026\/10\/Traton-1.webp\u00bb title_text=\u00bbTraton (1)\u00bb url=\u00bbhttps:\/\/www.traton.com\u00bb url_new_window=\u00bbon\u00bb _builder_version=\u00bb4.27.4&#8243; _module_preset=\u00bbdefault\u00bb width=\u00bb120px\u00bb max_width=\u00bb120px\u00bb hover_enabled=\u00bb0&#8243; custom_css_main_element=\u00bbmax-width:fit-content;\u00bb global_colors_info=\u00bb{}\u00bb alt=\u00bbtraton logo\u00bb sticky_enabled=\u00bb0&#8243;][\/et_pb_image][et_pb_image src=\u00bbhttps:\/\/www.mosaicfactor.com\/wp-content\/uploads\/2026\/10\/ait.webp\u00bb title_text=\u00bbait\u00bb url=\u00bbhttps:\/\/www.ait.ac.at\u00bb url_new_window=\u00bbon\u00bb _builder_version=\u00bb4.27.4&#8243; _module_preset=\u00bbdefault\u00bb width=\u00bb120px\u00bb max_width=\u00bb120px\u00bb custom_css_main_element=\u00bbmax-width:fit-content;\u00bb global_colors_info=\u00bb{}\u00bb][\/et_pb_image][et_pb_image src=\u00bbhttps:\/\/www.mosaicfactor.com\/wp-content\/uploads\/2026\/10\/axini.webp\u00bb title_text=\u00bbaxini\u00bb url=\u00bbhttps:\/\/www.axini.com\u00bb url_new_window=\u00bbon\u00bb _builder_version=\u00bb4.27.4&#8243; _module_preset=\u00bbdefault\u00bb width=\u00bb180px\u00bb max_width=\u00bb180px\u00bb custom_css_main_element=\u00bbmax-width:fit-content;\u00bb global_colors_info=\u00bb{}\u00bb][\/et_pb_image][et_pb_image src=\u00bbhttps:\/\/www.mosaicfactor.com\/wp-content\/uploads\/2024\/11\/project-synergies-virtual-vehicle.webp\u00bb alt=\u00bbVirtual Vehicle logo\u00bb title_text=\u00bbproject-synergies-virtual-vehicle\u00bb url=\u00bbhttps:\/\/www.v2c2.at\u00bb url_new_window=\u00bbon\u00bb _builder_version=\u00bb4.27.4&#8243; _module_preset=\u00bbdefault\u00bb width=\u00bb180px\u00bb max_width=\u00bb180px\u00bb custom_css_main_element=\u00bbmax-width:fit-content;\u00bb global_colors_info=\u00bb{}\u00bb][\/et_pb_image][\/et_pb_column][\/et_pb_row][et_pb_row admin_label=\u00bbrow\u00bb _builder_version=\u00bb4.27.2&#8243; background_size=\u00bbinitial\u00bb background_position=\u00bbtop_left\u00bb background_repeat=\u00bbrepeat\u00bb width=\u00bb100%\u00bb global_colors_info=\u00bb{}\u00bb][et_pb_column type=\u00bb4_4&#8243; _builder_version=\u00bb4.16&#8243; custom_padding=\u00bb|||\u00bb global_colors_info=\u00bb{}\u00bb custom_padding__hover=\u00bb|||\u00bb][et_pb_text _builder_version=\u00bb4.27.2&#8243; _module_preset=\u00bbdefault\u00bb text_font_size=\u00bb18px\u00bb text_line_height=\u00bb1.6em\u00bb custom_margin=\u00bb||1em||false|false\u00bb global_colors_info=\u00bb{}\u00bb]<\/p>\n<h2>The problem<\/h2>\n<p>[\/et_pb_text][et_pb_text _builder_version=\u00bb4.27.4&#8243; _module_preset=\u00bbdefault\u00bb text_font_size=\u00bb18px\u00bb text_line_height=\u00bb1.6em\u00bb global_colors_info=\u00bb{}\u00bb]<\/p>\n<p>Modern vehicles increasingly rely on software to deliver functionality, connectivity, safety and user experience. As a result, automotive software systems are becoming larger, more interconnected and significantly more complex to design, test and maintain.<\/p>\n<div>\n<p>Engineering teams face growing challenges in:<\/p>\n<ul>\n<li>Managing large volumes of development and operational vehicle data.<\/li>\n<li>Ensuring software quality, safety and compliance throughout the lifecycle.<\/li>\n<li>Automating testing and validation processes.<\/li>\n<li>Reducing development effort while accelerating innovation.<\/li>\n<li>Maintaining trust and traceability in AI-assisted engineering workflows.<\/li>\n<\/ul>\n<p>Traditional engineering approaches alone are no longer sufficient to address this complexity. New AI-assisted methods are needed to help engineers analyse information faster, automate repetitive tasks and make better-informed decisions.<\/p>\n<p>AI4SDV is a European research and innovation project that explores <strong>how artificial intelligence can enhance the development of Software-Defined Vehicles<\/strong> (SDVs).<\/p>\n<div>\n<p>By combining AI, data intelligence and advanced engineering methods, the project aims to automate repetitive development tasks, improve software quality and accelerate verification and validation processes across the automotive software lifecycle. Through a collaborative ecosystem of automotive manufacturers, technology providers, research centres and universities, AI4SDV will develop an open and extensible platform that supports more efficient, reliable and trustworthy SDV engineering.<\/p>\n<\/div>\n<\/div>\n<p>[\/et_pb_text][et_pb_text _builder_version=\u00bb4.27.2&#8243; _module_preset=\u00bbdefault\u00bb text_font_size=\u00bb18px\u00bb text_line_height=\u00bb1.6em\u00bb custom_margin=\u00bb||1em||false|false\u00bb global_colors_info=\u00bb{}\u00bb]<\/p>\n<h2>The solution<\/h2>\n<p>[\/et_pb_text][et_pb_text _builder_version=\u00bb4.27.4&#8243; _module_preset=\u00bbdefault\u00bb text_font_size=\u00bb18px\u00bb text_line_height=\u00bb1.6em\u00bb global_colors_info=\u00bb{}\u00bb]<\/p>\n<p>Within AI4SDV, Mosaic Factor leads the development of advanced <em>Data Intelligence and Decision Support capabilities<\/em> that will serve <em>as a foundation for trustworthy AI-assisted vehicle engineering<\/em>.<\/p>\n<div>\n<p>The solution will enable engineering teams to transform large volumes of heterogeneous vehicle and development data into reliable, interpretable and actionable insights throughout the SDV lifecycle.<\/p>\n<p>Key innovations include:<\/p>\n<ol>\n<li><strong>Intelligent data curation pipelines<\/strong>. Automated pipelines will improve data quality through the following capabilities that will help ensure that AI systems are trained and operated using trustworthy and consistent data:\n<ol>\n<li>Data ingestion and integration.<\/li>\n<li>Cleaning and normalization.<\/li>\n<li>Duplicate detection.<\/li>\n<li>Provenance tracking.<\/li>\n<li>Bias and data quality assessment.<\/li>\n<li>Reproducibility monitoring.<\/li>\n<\/ol>\n<\/li>\n<li><strong>Hybrid AI-powered data intelligence<\/strong>. A hybrid approach to support more robust engineering decisions while reducing the risks associated with purely black-box AI solutions. The platform will combine:\n<ol>\n<li>Rule-based reasoning.<\/li>\n<li>Statistical and exploratory data analysis.<\/li>\n<li>Anomaly detection techniques.<\/li>\n<li>Machine learning models.<\/li>\n<li>Generative AI capabilities.<\/li>\n<\/ol>\n<\/li>\n<li><strong>Explainable decision support<\/strong>. By leveraging explainable AI, Retrieval-Augmented Generation (RAG) and agentic AI approaches, the system will adapt recommendations to different user roles and engineering contexts. AI recommendations will be accompanied by interpretable diagnostics that help engineers understand:\n<ol>\n<li>Data quality issues.<\/li>\n<li>Potential bias patterns.<\/li>\n<li>Detected anomalies.<\/li>\n<li>Compliance-related risks.<\/li>\n<li>Validation bottlenecks.<\/li>\n<\/ol>\n<\/li>\n<li><strong>Continuous improvemen<\/strong>t through human feedback. Engineers will remain in control through human-in-the-loop mechanisms that allow feedback to continuously improve decision-support capabilities while maintaining transparency and accountability.<\/li>\n<li><strong>AI-assisted Testing<\/strong>, <strong>Verification<\/strong> and <strong>Validation<\/strong>. A second contribution focuses on enhancing Verification and Validation (V&amp;V) processes through AI-powered automation. Testing activities in Software-Defined Vehicles generate significant effort throughout development cycles. AI4SDV investigates how AI can automate and accelerate these activities while maintaining engineering rigour and traceability. The project will support:\n<ol>\n<li>Automated test generation from requirements and engineering models.<\/li>\n<li>Test prioritisation and optimisation.<\/li>\n<li>AI-assisted analysis of test results.<\/li>\n<li>Anomaly and defect detection.<\/li>\n<li>Adaptive testing strategies.<\/li>\n<li>Validation workflow automation.<\/li>\n<\/ol>\n<\/li>\n<\/ol>\n<p>These capabilities aim to reduce manual effort, increase test coverage and improve software reliability.<\/p>\n<\/div>\n<p>[\/et_pb_text][et_pb_text _builder_version=\u00bb4.27.2&#8243; _module_preset=\u00bbdefault\u00bb text_font_size=\u00bb18px\u00bb text_line_height=\u00bb1.6em\u00bb locked=\u00bboff\u00bb global_colors_info=\u00bb{}\u00bb]<\/p>\n<h2>Results<\/h2>\n<p>[\/et_pb_text][et_pb_text _builder_version=\u00bb4.27.4&#8243; _module_preset=\u00bbdefault\u00bb text_font_size=\u00bb18px\u00bb text_line_height=\u00bb1.6em\u00bb locked=\u00bboff\u00bb global_colors_info=\u00bb{}\u00bb]<\/p>\n<p>AI4SDV aims to demonstrate how trustworthy AI can become a practical engineering assistant for automotive software development.<\/p>\n<div>\n<p>Expected benefits include:<\/p>\n<ul>\n<li>Faster software development cycles.<\/li>\n<li>Reduced engineering effort.<\/li>\n<li>Improved software quality.<\/li>\n<li>More efficient testing and validation.<\/li>\n<li>Greater transparency in AI-assisted engineering decisions.<\/li>\n<li>Stronger trust in AI technologies for safety-critical environments.<\/li>\n<\/ul>\n<p>The project ultimately contributes to strengthening Europe&#8217;s leadership in Software-Defined Vehicle innovation and next-generation automotive engineering.<\/p>\n<\/div>\n<p>[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":"<p>AI-assisted methods and tools for Software-Defined Vehicle engineering automation<\/p>\n","protected":false},"author":2,"featured_media":6932,"parent":0,"menu_order":0,"template":"","meta":{"_acf_changed":false,"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","inline_featured_image":false,"footnotes":""},"industry":[93,92],"solution":[56,50,51],"class_list":["post-6923","proyecto","type-proyecto","status-publish","has-post-thumbnail","hentry","industry-automotive","industry-research","solution-data-enhanced-products","solution-predictive-models","solution-trustworthy-ai"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.6 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Mosaic Factor<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"\/\" \/>\n<meta property=\"og:locale\" content=\"es_ES\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:site_name\" 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