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European Union AI Uncertainty Reduction and Alignment

Objective

91% of AI fails post-deployment, according to a recent publication in Nature by Harvard and MIT. This corresponds to over €10 billion in estimated losses in the EU alone, mainly because real-world AI model performance cannot be monitored or aligned. We've developed five novel generically applicable algorithms to estimate AI performance with groundbreaking accuracy. NannyML empowers data scientists to assess AI post-deployment, ensuring large-scale efficacy reducing risk, costs, and biases. Data scientists, increasingly at the helm of European projects, select products anchored in innovative research. Our strategy is based on transparent, product-led promotion, with distribution on cloud marketplaces driven via blogs, papers, and professional communities. NannyML’s open-source solution is one of the most widely adopted AI monitoring solutions in the world, with over 2,000 known monthly active instances, 20,000 monthly downloads, and a community of 50,000 data scientists. NannyML has been implemented at Europe's leading corporations like Essilor Luxottica, Ahold Delhaize and TUI. Our next major milestone is commercializing NannyML’s technology. Europe is at a pivotal moment in history, and the world needs European AI that is properly Aligned. With the support of the European Innovation Council NannyML will ensure Europe leads the world in delivering Aligned AI.

Fields of science (EuroSciVoc)

CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.

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Keywords

Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)

Programme(s)

Multi-annual funding programmes that define the EU’s priorities for research and innovation.

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

See all projects funded under this funding scheme

Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

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

See all projects funded under this call

Coordinator

NANNYML
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.

€ 2 043 691,13
Address
INTERLEUVENLAAN 62
3001 Leuven
Belgium

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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
Region
Vlaams Gewest Prov. Vlaams-Brabant Arr. Leuven
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Links
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

Participants (1)

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