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FIRST MLOPS INTEGRATING REAL-TIME RISK MANAGEMENT, COMPLIANCE AND EXPLAINABILITY WHERE THE AI MODEL RUNS

Project description

New standards for ethical intelligence to make AI accountable

As AI systems grow more powerful, so does the need for transparency and trust. In this context, the EIC-funded Deeploy project is developing the world’s first human-centric MLOps platform, built for real-time risk management, explainability, and compliance. Designed for high-stakes sectors such as healthcare, finance, and government, the platform integrates explainable AI, bias mitigation, and continuous monitoring directly into AI infrastructure. This ensures that every model decision is traceable, understandable, and compliant with regulations such as the GDPR and the EU AI Act. With plans to scale across Europe, Deeploy is setting a new benchmark for responsible AI in a digital world.

Objective

Deeploy presents the world's first human-centric AI MLOps platform that integrates real-time risk management, explainability, and compliance directly within the infrastructure where models run. This ensures safe, reliable, ethical, transparent, and accountable AI deployments, instantly minimizing risk exposure and reducing the time needed to resolve incidents. Deeploy’s platform stands out by embedding these critical elements into the AI lifecycle, providing unparalleled oversight and control, which is essential in regulated industries. By leveraging advanced eXplainable AI (XAI) techniques, real-time monitoring, and bias mitigation tools, Deeploy offers a robust and user-friendly system that addresses the urgent need for ethical AI in heavily regulated industries such as finance, healthcare, and government. Our innovative approach meets regulatory requirements and builds stakeholders' trust by making AI decisions understandable and justifiable.
We strive to ensure regulatory compliance with stringent laws such as GDPR and the EU AI Act, providing tools for continuous monitoring and documentation of AI models. Another critical objective is to mitigate biases in AI models, promoting fair and ethical outcomes across various applications. Our strategy includes scaling our solution across European markets, starting with the Netherlands and Germany, followed by other regions, ensuring widespread adoption and impact. This aligns perfectly with the goals of the EIC Accelerator's Human Centric Generative AI challenge, contributing substantially to the EU's digital transformation agenda. Through our platform, we aim to set new standards for responsible AI, driving positive change and fostering innovation across industries.

Fields of science (EuroSciVoc)

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Keywords

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Programme(s)

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Topic(s)

Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.

Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

HORIZON-EIC-ACC - HORIZON EIC Accelerator

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Call for proposal

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(opens in new window) HORIZON-EIC-2024-ACCELERATOR-02

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Coordinator

DEEPLOY B.V.
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 2 490 000,00
Address
OUDEGRACHT 91A
3511 AD UTRECHT
Netherlands

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SME

The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.

Yes
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
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Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

No data
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