quantpi.comCrawled Nov 9, 2026
Validate agentic AI end to end - reasoning traces, tool use and multi-step failures - with statistical evidence before deployment.
QuantPi validates AI safety, reliability, and cost-effectiveness before deployment, providing statistical proof across data environments.
Test object detection models for robustness, edge cases and performance drift across operating conditions, with confidence intervals.
Accelerate AI certification with audit trails, validated test criteria & statistical confidence. Built with certifiers, aligned with EU AI Act & ISO standards.
Funded by the German Federal Ministry for Economic Affairs. Model-agnostic, no access to business critical IP required. The architectural principle behind QuantPi's engine.
Articles, webinars and research on AI validation, model testing and EU AI Act compliance from the QuantPi team.
Why conventional software testing falls short for AI systems, and which approaches actually surface failure modes before deployment.
Federal Ministry of Education and Research: QuantPi developed a technological framework to optimize the utility-privacy trade-off.
The EU’s AI Act applies to start-ups using AI, with potential fines for non-compliance.
AI is being comprehensively regulated in the EU for the first time. With these tips, start-ups can utilize the regulations to their advantage and make better use of AI.
QuantPi helps companies disclose risks in their AI systems, as decision-making criteria are not always transparent.
Validate agentic AI, LLMs, and physical AI systems before deployment. Black-box testing, reasoning trace analysis, and ODD validation with statistical certainty.
The page outlines how to report security vulnerabilities in QuantPi products and infrastructure, including disclosure commitments.
