Powered by OpenAIRE graph
Found an issue? Give us feedback

QuantPi

First automated risk management platform to enable safety, fairness, explainability, and continuous monitoring of generative AI systems
Funder: European CommissionProject code: 101144749 Call for proposal: HORIZON-EIC-2023-ACCELERATOR-01
Funded under: HE | HORIZON-EIC-ACC-BF Overall Budget: 3,569,250 EURFunder Contribution: 2,498,480 EUR
Description

We target the global AI market, which has current value of €187.1B (TAM) and a CAGR of 37.3% until 2029. In this TAM, the generative AI market with €12.5B and 27% CAGR constitutes a sub-market addressed by us. AI risk management and governance sector (SAM) has a current market value of €220M and a CAGR of 42.1% until 2029. Industry leaders, e.g., Musk and Wozniak, request a stepping back from training models with an ever-increasing complexity. QuantPi’s platform is the first all-in-one, model-agnostic, plug & play solution for risk management of generative AI. For the first time, we enable companies developing or operating generative AI systems to automatically assess and mitigate major risks across dimensions such as performance, fairness, robustness, explainability, and more. Our solution assesses conformance with +100 standards and regulations, including the EU AI Act, ISO/IEC 23894, and NIST AI RMF and assists companies in their pursuit of responsible and trustworthy AI systems.

Data Management Plans
Powered by OpenAIRE graph
Found an issue? Give us feedback

Do the share buttons not appear? Please make sure, any blocking addon is disabled, and then reload the page.

All Research products
arrow_drop_down
<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=corda_____he::f57edb25b171a1ddc95c99362b1b06cb&type=result"></script>');
-->
</script>
For further information contact us at helpdesk@openaire.eu

No option selected
arrow_drop_down