The Validation Layer for Enterprise AI
Unreliable AI doesn't belong in production and shouldn't reach your customers. QuantPi validates your AI at every stage of its lifecycle and delivers the statistical proof you need to confidently release, scale, and defend your enterprise AI portfolio - without slowing down deployment.
Trusted by Enterprise Customers
QuantPi turns your enterprise AI into a reliable, repeatable business
Enterprise AI portfolios are fragmenting into unpredictable black boxes - from foundation models and RAG pipelines to agentic workflows and physical AI. QuantPi provides a unified validation layer across your entire ecosystem. By testing every AI asset both before and after deployment, we eliminate downstream risk and deliver statistical proof of exactly what works in any given context.
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One Platform. Any AI. Statistical Certainty
QuantPi is the first platform that tests agentic systems and every other model type in your portfolio with the same methodology and standardized test results. We simulate your full operating domain, stress-test every decision path, and quantify risks with statistical rigour - before failures reach production or your customers.
Any model, any modality
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Agent-level simulation, zero users at risk
Risk quantification with confidence intervals
Built for the AI stack of tomorrow
The validation layer for AI-first enterprises.
QuantPi sits at the quality gate of your AI lifecycle. Every model, agent and AI system gets validated before release. Every material change resets the evidence. Every release produces documentation that your risk, legal and compliance teams can defend - automatically.
Enterprise-grade Foundation & Sovereign Ready:
Public cloud and on-premises via HPE Private Cloud AI. QuantPi runs wherever your data lives - including sovereign and air-gapped environments.
SSO, RBAC, full audit trails. Zero data retention policy. Your models, data and IP never leave your environment.
Native MCP support connects QuantPi to any tool in your stack - model registries, CI/CD, GRC, workflow orchestrators. Validation becomes a standard part of your process, not a separate exercise.
Functional safety testing and quality assurance sits at the heart of every AI lifecycle - the foundation for monitoring, red-teaming, and GRC to manage and document the AI portfolio.
Reference Architecture with HPE x NVIDIA
This is not just a Reference Architecture, this is pre-tested, pre-integrated and fully co-engineered
Learn how QuantPi fits into your AI-first architecture
Accelerated certification with reliable technical evidence
We work directly with notified bodies, market surveillance authorities and standardisation committees. Our methodology produces the technical evidence they require: safety cases, audit trails, confidence intervals, transparent reporting - from day one. In regulated sectors, QuantPi compresses compliance and certification timelines from years to quarters.
Functional Safety for Physical AI
Assurance Case for Fairness in HR
Built on math. Proven in production.
QuantPi is a spin-off from CISPA Helmholtz Center for Information Security, one of the world's leading research institutions for AI security. Our engine runs on a proprietary mathematical framework that is fully model-agnostic and statistically rigorous. No leaked benchmarks, no saturated leaderboards. You know where your system fails - before regulators find it or incidents expose it.
