Imagine AI is like a powerful new engine, but it's hidden inside a black box and might occasionally veer off course. This tool acts like a smart diagnostic scanner that checks the engine's safety and fairness without needing to take it apart. It quickly spots glitches and ensures the AI follows the law, making it safe for companies to use.
Companies using generative AI face dangerous 'black box' risks and high costs for manual risk assessments. They are at high risk of non-compliance with new laws like the EU AI Act.
An automated, model-agnostic risk management platform using PiCrystal technology to generate technical documentation and audit-readiness reports.
If you are a retail bank dealing with biased loan approval AI — this project developed a plug-and-play platform that detects unfairness and provides quantitative evidence of risk. It ensures the system meets the EU AI Act and other regulations, delivering results >5-times faster than manual testing.
If you are a medical AI developer dealing with unpredictable generative diagnostic tools — this project developed PiCrystal technology that identifies unintended system behavior. It provides audit-ready reports for over 100 standards, reducing the time it takes to get the product to market.
If you are a law firm dealing with the risk of non-compliance with the US Algorithmic Accountability Act — this project developed an automated risk assessment tool. It translates technical AI risks into documentation and certification reports to avoid legal penalties.
Based on available project data, specific pricing for the platform is not disclosed, although the project received an EU contribution of EUR 2,498,475 for development.
Yes, the platform is designed as a model-agnostic, plug-and-play solution targeting a global AI market valued at 187.1B.
The project utilizes proprietary technology called PiCrystal; however, specific licensing terms are not provided in the project data.
Yes, it assesses conformance with over 100 standards and regulations, including the EU AI Act, ISO/IEC 23894, and NIST AI RMF.
The solution is described as a plug-and-play platform that delivers results >5-times faster than assessing risks individually.
The project is led by a single German SME, QuantPi GmbH, which holds 100% of the industry ratio. This lean structure suggests a highly focused commercial drive, as the company is directly implementing its proprietary PiCrystal technology to capture a share of the 220M AI risk management market.
Contact QuantPi GmbH in Germany for licensing and demo requests.
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