QuantPi contributes as part of the HALOS ecosystem to ensure trustworthy Physical AI through rigorous, independent evaluation and stress-testing models against real operating domains.

Unreliable AI doesn’t belong in production. QuantPi is the validation layer for enterprise AI: testing every model, agent, and system before and after deployment, and delivering the statistical proof of what actually works. One engine validates any modality: LLMs, agentic systems, RAG pipelines, computer vision, tabular models, physical AI. Every result ships with confidence intervals, not just a pass/fail - and with native MCP integration, validation runs inside your existing CI/CD, GRC, and agentic workflows as a function call, not a separate research project. Nothing leaves your environment: on-prem, sovereign, and air-gapped deployments supported, zero data retention. QuantPi is a spin-off of CISPA Helmholtz Center for Information Security, funded by the European Union, and trusted by some of the world’s largest enterprises and institutions to deploy AI confidently and responsibly.