First automated risk management platform to enable safety, fairness, explainability, and continuous monitoring of generative AI systems
QuantPis offers a comprehensive, model-agnostic platform for generative AI risk management, enabling companies to assess and mitigate risks while ensuring compliance with over 100 standards.
Projectdetails
Market Overview
We target the global AI market, which has a current value of 187.1B (TAM) and a CAGR of 37.3% until 2029.
Sub-Markets
In this TAM, the generative AI market with 12.5B and 27% CAGR constitutes a sub-market addressed by us.
AI Risk Management Sector
The AI risk management and governance sector (SAM) has a current market value of 220M and a CAGR of 42.1% until 2029.
Industry Insights
Industry leaders, e.g., Musk and Wozniak, request a stepping back from training models with ever-increasing complexity.
Our Solution
QuantPis platform is the first all-in-one, model-agnostic, plug & play solution for risk management of generative AI.
Key Features
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
Compliance and Standards
Our solution assesses conformance with over 100 standards and regulations, including:
- The EU AI Act
- ISO/IEC 23894
- NIST AI RMF
We assist companies in their pursuit of responsible and trustworthy AI systems.
Financiële details & Tijdlijn
Financiële details
Subsidiebedrag | € 2.498.475 |
Totale projectbegroting | € 3.569.250 |
Tijdlijn
Startdatum | 1-2-2024 |
Einddatum | 31-1-2026 |
Subsidiejaar | 2024 |
Partners & Locaties
Projectpartners
- QUANTPI GMBHpenvoerder
Land(en)
Vergelijkbare projecten binnen EIC Accelerator
Project | Regeling | Bedrag | Jaar | Actie |
---|---|---|---|---|
Quality Assurance for AIGISKARD is developing an open-source SaaS platform for automated AI quality testing to address ethical biases and prediction errors, aiming to lead in compliance with the EU AI Act. | EIC Accelerator | € 2.499.999 | 2023 | Details |
A novel hardware & software platform to revolutionise artificial intelligence at the edgeDeveloping a scalable hardware and software platform for efficient edge AI inference, targeting computer vision and NLP, to drive adoption with reduced costs and power consumption. | EIC Accelerator | € 2.499.999 | 2024 | Details |
REVOLUTIONISING INDUSTRIAL ROBOTICS WITH THE NEXT GENERATION ROBOT-SPECIFIC AI-POWERED SECURITY PLATFORMRIS is an innovative AI-based Endpoint Protection Platform designed to secure industrial robots by detecting vulnerabilities and protecting against known and unknown threats. | EIC Accelerator | € 2.499.875 | 2024 | Details |
AI-based clinical software for fully automated Cardiac Magnetic Resonance reportingAI4MedImaging is developing AI4CMR.Plus, a revolutionary software for automated cardiac assessment via CMR, aiming for a 2025 launch to enhance CVD diagnosis and improve patient outcomes. | EIC Accelerator | € 1.753.842 | 2022 | Details |
Disruptive AI project management solution to drastically reduce the costs & risks of European large-scale construction projectsLili.AI is an AI-driven project management tool designed to provide actionable insights from unstructured data, helping organizations prevent costly delays in large-scale infrastructure projects. | EIC Accelerator | € 2.591.603 | 2022 | Details |
Quality Assurance for AI
GISKARD is developing an open-source SaaS platform for automated AI quality testing to address ethical biases and prediction errors, aiming to lead in compliance with the EU AI Act.
A novel hardware & software platform to revolutionise artificial intelligence at the edge
Developing a scalable hardware and software platform for efficient edge AI inference, targeting computer vision and NLP, to drive adoption with reduced costs and power consumption.
REVOLUTIONISING INDUSTRIAL ROBOTICS WITH THE NEXT GENERATION ROBOT-SPECIFIC AI-POWERED SECURITY PLATFORM
RIS is an innovative AI-based Endpoint Protection Platform designed to secure industrial robots by detecting vulnerabilities and protecting against known and unknown threats.
AI-based clinical software for fully automated Cardiac Magnetic Resonance reporting
AI4MedImaging is developing AI4CMR.Plus, a revolutionary software for automated cardiac assessment via CMR, aiming for a 2025 launch to enhance CVD diagnosis and improve patient outcomes.
Disruptive AI project management solution to drastically reduce the costs & risks of European large-scale construction projects
Lili.AI is an AI-driven project management tool designed to provide actionable insights from unstructured data, helping organizations prevent costly delays in large-scale infrastructure projects.
Vergelijkbare projecten uit andere regelingen
Project | Regeling | Bedrag | Jaar | Actie |
---|---|---|---|---|
Reducing Carbon Footprint for Generative AIThe project aims to reduce the energy consumption and carbon footprint of generative AI systems by implementing more efficient matrix multiplication algorithms, potentially saving 40-50% energy while maintaining performance. | ERC Proof of... | € 150.000 | 2023 | Details |
Developing Bias Auditing and Mitigation Tools for Self-Assessment of AI Conformity with the EU AI Act through Statistical MatchingAct.AI aims to enhance AI fairness and compliance with the EU AI Act by providing a versatile, plug-and-play tool for continuous bias monitoring across various data types and industries. | ERC Proof of... | € 150.000 | 2024 | Details |
Measuring and Mitigating Risks of AI-driven Information TargetingThis project aims to assess the risks of AI-driven information targeting on individuals, algorithms, and platforms, and propose protective measures through innovative measurement methodologies. | ERC Starting... | € 1.499.953 | 2022 | Details |
POTENTaiLIZERHet project onderzoekt de haalbaarheid van een AI-product, POTENTaiLIZER, om MKB-bedrijven te ondersteunen bij het optimaliseren van hun bedrijfsvoering via data-analyse en strategische tips. | Mkb-innovati... | € 20.000 | 2023 | Details |
Benchmarking AI to predict mutagenicity by combing chemical structure and genome-wide mutation dataMUTAPREDICT is an AI-driven platform that predicts the mutagenic potential of new drugs using whole genome sequencing, enhancing safety assessments while reducing reliance on animal testing. | ERC Proof of... | € 150.000 | 2024 | Details |
Reducing Carbon Footprint for Generative AI
The project aims to reduce the energy consumption and carbon footprint of generative AI systems by implementing more efficient matrix multiplication algorithms, potentially saving 40-50% energy while maintaining performance.
Developing Bias Auditing and Mitigation Tools for Self-Assessment of AI Conformity with the EU AI Act through Statistical Matching
Act.AI aims to enhance AI fairness and compliance with the EU AI Act by providing a versatile, plug-and-play tool for continuous bias monitoring across various data types and industries.
Measuring and Mitigating Risks of AI-driven Information Targeting
This project aims to assess the risks of AI-driven information targeting on individuals, algorithms, and platforms, and propose protective measures through innovative measurement methodologies.
POTENTaiLIZER
Het project onderzoekt de haalbaarheid van een AI-product, POTENTaiLIZER, om MKB-bedrijven te ondersteunen bij het optimaliseren van hun bedrijfsvoering via data-analyse en strategische tips.
Benchmarking AI to predict mutagenicity by combing chemical structure and genome-wide mutation data
MUTAPREDICT is an AI-driven platform that predicts the mutagenic potential of new drugs using whole genome sequencing, enhancing safety assessments while reducing reliance on animal testing.