QuantPi Joins NVIDIA Halos AI Systems Inspection Lab Ecosystem to Advance Trustworthy Physical AI
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Make your AI work under real world conditions

Your AI systems may pass every benchmark in the lab but fail in production. The QuantPi
platform evaluates any AI system on real-world data, ensuring domain-specific requirements
and regulatory constraints are matched under operating conditions.

Trusted by Enterprise Customers

How it works

AI systems are only as strong as its weakest link

Agentic AI shows enormous potential, yet its autonomous and non-deterministic behavior makes it one of the hardest things to evaluate. QuantPi automates testing across all modalities
and agent layers, so you know exactly where your system works and where it fails. Cut the trial-and-error nightmare and start shipping reliable AI faster.

CORE CAPABILITIES & USPs

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 reports. We simulate your full operating domain, stress-test every decision path, quantify risks and associated uncertainty with unique statistical approaches. Failures can be prevented before they reach your customers.

Any model, any modality

One engine tests all models and modalities in your system. Swap models, switch providers and your test infrastructure stays the same.
View modalities

&

Agent-level simulation, zero users at risk

Controlled simulations, not random synthetic data. Evaluate both: the quality of the simulations and the behavior of the system.
Explore simulation

Built for the AI stack of tomorrow

The AI landscape shifts fast. The algorithms behind our agnostic platform are designed to test all AI systems that exist today and those of tomorrow. One investment, no re-tooling.
See supported modalities

Risk quantification with confidence intervals.

Statistical confidence intervals come with every test result. Finally, you can use LLM-as-a-judge safely. Our confidence intervals quantify the measurement error, so you know exactly how much to trust the result.
Read Case study
Overline text

One Platform. Any AI. Statistical Certainty

QuantPi tests agentic systems and every other model type using the same statistical methodology and standardized approach. We simulate your domain, stress-test decision paths, and quantify risk with confidence-bounded estimates.

Any model, any modality.

One engine tests all models and modalities. Swap providers, keep your test infrastructure.

-> HPE x NVIDIA whitepaper

Agent-level simulation, zero users at risk

Controlled simulations evaluate system behaviour with statistical guarantees before users ever face risk.

-> PriSyn (HPE swarm)

Confidence-bounded risk quantification.

Measure where your AI works, where it fails, and how certain the results are.

-> Read how NVIDIA leverages

Built for the AI stack of tomorrow

Test existing and future AI models with one platform. No retooling required.

-> See the link

Overline text

One Platform. Any AI. Statistical Certainty

QuantPi tests agentic systems and every other model type using the same statistical methodology and standardized approach. We simulate your domain, stress-test decision paths, and quantify risk with confidence-bounded estimates.

Any model, any modality.

One engine tests all models and modalities. Swap providers, keep your test infrastructure.

-> HPE x NVIDIA whitepaper

Agent-level simulation, zero users at risk

Controlled simulations evaluate system behaviour with statistical guarantees before users ever face risk.

-> PriSyn (HPE swarm)

Confidence-bounded risk quantification.

Measure where your AI works, where it fails, and how certain the results are.

-> Read how NVIDIA leverages

Built for the AI stack of tomorrow

Test existing and future AI models with one platform. No retooling required.

-> See the link

CORE CAPABILITIES & USPs

One Platform. Any AI. Statistical Certainty

QuantPi tests agentic systems and every other model type using the same statistical methodology and standardized approach. We simulate your domain, stress-test decision paths, and quantify risk with confidence-bounded estimates.

Any model,
any modality.

One engine tests all models and modalities. Swap providers, keep your test infrastructure.

Agent-level simulation, zero users at risk

Controlled simulations evaluate system behaviour with statistical guarantees before users ever face risk.

Confidence-bounded risk quantification.

Measure where your AI works, where it fails, and how certain the results are.

Built for the AI stack of tomorrow

Test existing and future AI models with one platform. No retooling required.

AI Testing Infrastructure

The standard testing layer for AI-first enterprises.

QuantPi embeds directly into your AI development cycle. Every model, agent and AI-system gets tested before it gets shipped. Agents are stress-tested at both system and sub-component level. Every release produces audit-ready evidence.

Enterprise-grade Foundation & Sovereign Ready:

Deployment flexibility

Public cloud and on-premises deployment for sovereign AI via HPE Private Cloud AI. Run QuantPi wherever your data lives.

Security & access controls

SSO, Role-based access control (RBAC) and audit trails. Our zero data retention policy ensures your IP never leaves your organization.

AI stack integration

Works with your existing AI platforms, model registries, and inference environments. QuantPi becomes part of your standard process.

AI Lifecycle

QuantPi’s functional safety testing and quality assurance sits at the heart of every enterprise AI lifecycle.  QuantPi tests if your AI behaves as expected under normal usage scenarios. This is the foundation for 1) monitoring which checks deviations from this expected behavior and 2) security red teams who simulate un-normal and malicious behaviour and 3) 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

View architecture
Certification & Compliance

Accelerated certification with reliable technical evidence

We work closely with notified bodies, market surveillance authorities and standardization committees. Our testing methodology is designed to produce the technical evidence they require — safety cases, audit trails, confidence intervals, transparent reporting from day one. In regulated sectors like Physical AI or Autonomous Vehicles, QuantPi accelerates deployment from years to quarters.

Functional Safety for Physical AI

QuantPi is a member of the NVIDIA Halos AI Systems Inspection Lab. We help streamlining inspection processes with scalable technical validation supported by statistical evidence across diverse metrics.
Read the announcement

Assurance Case for Fairness in HR

Read our white paper with TÜV AI.Lab and StepStone to explore how the QuantPi Platform is used to identify bias in high-risk AI systems used for candidate matching in recruitment.
Get access to the white paper
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Built in Europe. Trusted worldwide.

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.

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Make your AI work under
real world conditions

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