{"id":1143769,"date":"2026-07-03T10:33:00","date_gmt":"2026-07-03T08:33:00","guid":{"rendered":"https:\/\/eurecat.org\/portfolio-items\/accomplish\/"},"modified":"2026-07-08T09:08:39","modified_gmt":"2026-07-08T07:08:39","slug":"accomplish","status":"publish","type":"avada_portfolio","link":"https:\/\/eurecat.org\/en\/portfolio-items\/accomplish\/","title":{"rendered":"Accomplish"},"content":{"rendered":"

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Automating regulatory compliance for data and artificial intelligence in companies<\/strong><\/p>\n

ACCOMPLISH<\/strong> prepares companies to face growing regulatory scrutiny<\/strong> through the automation, simplification and integration of regulatory compliance into data and artificial intelligence (AI) operations. To do so, it offers an AI-based framework<\/strong> covering legal, environmental, cybersecurity and industry-specific standards, while ensuring transparency, accountability and a human-centred approach.<\/p>\n

A key innovation is the Compliance Digital Passport<\/strong>, a new tool for real-time compliance assessment, certification and risk detection, which will enable organisations to navigate regulatory landscapes with confidence. The project’s innovations will be validated through real-world applications<\/strong> in energy, automotive, robotics and manufacturing, and aviation. They will also be tested through integration into open-source or commercial digital solutions, within established data spaces and the AI market landscape.<\/p>\n

The project is built around two axes that work reciprocally. The first is automated compliance assessment, recommendation generation and certification: through the digital passport, previously “static” assessments will be transformed into accessible, value-added and up-to-date compliance evidence<\/strong> that promotes transparency and accountability for any stakeholder.<\/p>\n

The second axis comprises trustworthy digital enablers for data and AI operations, with tools to design, run and monitor pipelines and their outputs, achieving standards-compliant data handling throughout the entire lifecycle \u2014from data collection to model deployment\u2014 that ensures data quality, mitigates bias and reduces energy consumption.<\/strong><\/p>\n

Coordinated by TXT E-TECH SRL<\/a>, ACCOMPLISH brings together a consortium of 25 partners<\/strong> \u2014universities, research centres and companies\u2014 from several European countries. Eurecat takes part through its Big Data & Data Science (BDDS) unit<\/a>, which leads the work on the core compliance assessment services and on bias detection, synthetic data and data-quality compliance tools. It also contributes to the development of explainable compliance recommendations based on large language models (LLMs).<\/p>\n<\/div>

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General data<\/h3><\/span>
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Project<\/strong><\/p>\n

ACCOMPLISH – Automated Assessment and Certification Compliance of Organisations, Systems, Data and AI Operations in a Human Understandable Context.<\/p>\n

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Project reference<\/strong><\/p>\n

101189763<\/p>\n<\/div>

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Programme and call<\/strong><\/p>\n

Project funded by the European Union’s Horizon Europe programme (Innovation Action) under the call HORIZON-CL4-2024-DATA-01-01 “AI-driven data operations and compliance technologies”.<\/p>\n

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Project website<\/strong><\/p>\n

www.accomplish-project.eu<\/a><\/p>\n

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Related SDGs<\/strong><\/p>\n

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<\/i><\/i><\/span>SDG 9. Industry, Innovation and Infrastructure<\/span><\/a><\/h4><\/div>
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Develop an advanced AI-driven framework aimed at fostering innovation and building a resilient digital infrastructure to ensure regulatory compliance across key European industries, such as energy, automotive, and aviation.<\/p>\n<\/div><\/div><\/div>

<\/i><\/i><\/span>SDG 17. Partnerships for the Goals<\/span><\/a><\/h4><\/div>
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As a large Horizon Europe consortium with multiple partners, it is a prime example of international collaboration between industry and research to achieve a common technological and regulatory goal.<\/p>\n<\/div><\/div><\/div><\/div><\/div>

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