🚀 QuantPi Joins HPE’s Unleash AI Partner Program to Accelerate AI Outcomes by Ensuring Trustworthy AI at Scale
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AI Trustworthy

The QuantPi Platform

QuantPi supports automated black-box testing for any AI model - from LLMs and agents to computer vision and classical ML - delivering deep behavioral analytics to guide improvement actions.

Test all model types with one platform
Agents
GenAI
Multimodal
Classical ML
Voice
Video
Computer Vision

Scale Trustworthy AI with QuantPi

The QuantPi Platform gives you scalable transparency and oversight. It lets you evaluate every model you build or buy across the entire AI lifecycle for performance, fairness, robustness, compliance, and more in a cost effective way by removing redundant computations

Intelligent Data Augmentation

Automatically structure raw data and inject essential descriptive metadata for clarity. Add synthetic noise layers for robustness testing.
Instantly identify critical data gaps and surface potential biases hidden within your datasets.

Streamlined Model Procurement

Easily compare performance across various model providers. 
Make data-driven procurement decisions with confidence and speed using vendor independent analysis that helps you make the optimal choice for your specific use case.

Optimized Prompts and Guardrails

Run A/B/N tests on multiple prompt variants to measure and quantify output quality.
Fine-tune your prompts and guardrails to achieve desired outcome, saving time and compute resources.

Ensure Compliance

Leverage test results required for legal reporting and internal requirements. We provide transparent logs and model metrics you need to show your AI meets regulatory and internal standards.

Monitoring

Maintain visibility into model health and performance. Detect drift and anomalies when they happen so you can maintain accuracy without the guesswork.

PiCrystal scheme

What can you do with the QuantPi Platform?

With the QuantPi Test Engine at its core, our Platform enables data scientists and ML engineers to automate validation tests on any AI/ML system — making its behavior transparent and feeding back advanced analytics to ensure improvement actions can be taken. Regardless of whether you are developing LLMs, computer vision, agents, multimodal, classical ML or other AI types: The QuantPi Test Engine works for them all.

Benefits

Comprehensive AI Evaluations

Test and compare any AI system uniformly, revealing behavior patterns across diverse applications (data and model agnosticity)

Flexible Benchmarking

Assess against industry standards or set custom thresholds on the results of tests in order to parametrize expectations on technical metrics

ScalableTesting

Equip AI experts with cost-efficient, streamlined and automated testing processes and out-of-the-box  tools, which remove redundant computations

Expedited Rollouts

Proactively run models through automated tests relevant for internal policies or external regulations and access same-day feedback

Seamless Integration

Flexibly integrate this scalable testing engine in your current MLOps workflow or GRC landscape for effective quality assurance

Risk Mitigation

Run technical tests required by guidelines or assess guardrails, including those designed to protect against prompt injection attacks

Data-Driven Insights

Generate high-quality and pre-configured analytics to identify critical weaknesses and opportunities for targeted improvements

Confident Decision-Making

Make informed choices backed by thorough, standardized assessments, which are already sorted and shareable with broader teams

Related Resources

HPE’s Unleash AI Partner Program

QuantPi Joins HPE’s Unleash AI Partner program to accelerate AI outcomes by ensuring trustworthy AI at scale
Find out how this can benefit you

How to Streamline AI Testing & Increase Transparency

An introduction to cutting-edge methods to scalably and rigorously test AI systems
Watch the on-demand webinar

How Testing Can Make Sure AI Meets (And Surpasses) Expectations

Forbes interview with QuantPi CEO discussing transparency, high quality AI deployments, and the importance of AI testing.
Read the full newsletter

Unfamiliar with the full AI Trust Platform which PiCrystal powers?

What Makes QuantPi Unique?

Threshold Configuration

Define and enforce the exact ethical and technical thresholds required for your organization, ensuring only fully validated AI moves from evaluation to production.

Auditable Reporting

Maintain transparent documentation of model performance against agreed-upon internal standards or external requirements.

Infrastructure Freedom

Scale on your own terms across any environment. We provide the flexibility you need with the transparency you deserve. No vendor lock-in and no surprises.

Seamless integration

Flexibly integrate the QuantPi platform in your current MLOps workflow or GRC landscape for effective quality assurance.

How does QuantPi Platform work?

The Informal Version

PiCrystal tests AI models across numerous scenarios, even if you don’t have specific data to cover each case, to help ensure that the machine learning model aligns with the desired outcomes or behaviors.

Our component library allows you to estimate relevant annotations in your test data, transform data samples, and define the metrics you want to measure, so you can build a complete view of your model performance.
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With PiCrystal, you can set up and scale tests to uncover where your model is effective, identify limitations, and diagnose potential weak spots. These insights are invaluable for creating model cards and reports, giving you a clear picture of your model’s strengths and boundaries.

Ready to learn more?

Ready to see it in action?

Request a Demo