Turn requirements, controls, policies, and evidence into an operational system instead of relying on static document review.
The intelligence and execution stack for regulated AI
We make regulated AI interactive, live, and accountable.
Pallas Analytics builds two connected products for regulated AI. The first is a live GxP intelligence CRM for requirements, controls, and evidence. The second is a governed model environment where teams can test, compare, and advance models under real-world constraints.
Live GxP intelligence
Governed model evaluation
Built for quality and compliance leaders
One company, two layers
The intelligence layer structures the environment. The execution layer proves model behavior inside it.
Benchmark and compare models in a controlled environment designed for reviewability, not theater.
Reduce the gap between model interest and model approval by making decisions easier to inspect and defend.
Connect requirements, controls, evidence, and model outputs so quality and compliance teams can trust the path to deployment.
Products
Two products that belong to one regulated AI system.
The first product makes the regulated environment legible and operational. The second makes model testing, comparison, and deployment review executable inside that environment.
Product 1
GxP Intelligence CRM
A live system for regulated requirements, controls, validation evidence, and model impact. It gives quality, compliance, and regulatory teams the context they need before AI moves forward.
- Requirements, controls, and evidence in one live operational view
- Traceability across workflows, approvals, and model decisions
- Clearer change impact and faster evidence visibility
Product 2
Kaggle for Regulated Industries
A governed environment where models are benchmarked, compared, and reviewed under protected conditions. It turns evaluation into decision-ready evidence for approval, procurement, and accountable deployment.
- Hidden benchmarks and controlled review workflows
- Traceable outputs for oversight, validation, and approval
- Model comparison built for real deployment decisions
How It Works
A straightforward loop for accountable regulated AI.
Pallas is intentionally simple: make the regulated system visible, test models inside that system, and move forward with evidence that quality and compliance teams can actually work with.
Make the environment legible
The GxP intelligence CRM brings requirements, controls, evidence, and change context into one operational picture.
Connect models to operating reality
Teams can see what a model touches, what proof matters, and where accountable review needs to happen.
Test under governed conditions
The regulated model environment evaluates submissions against protected benchmarks and controlled review logic.
Deploy with accountability
Outputs, evidence, and operating context stay connected so approval decisions are faster and more defensible.
Why It Matters
Built for leaders who need confidence before deployment, not explanations after the fact.
Quality, compliance, validation, and regulatory leaders do not need more AI theater. They need traceability, reviewability, and a live picture of what a model touches before it enters a regulated workflow.
01
Traceability
Keep the line visible from requirement to control to evidence to model behavior instead of reconstructing it later.
02
Reviewability
Give technical, quality, and oversight teams a shared record they can inspect without losing speed.
03
Deployment confidence
Make it easier to understand whether a model is ready to move forward and what evidence supports that decision.
Request Demo
Ask for a walkthrough and we’ll send the right POC link.
Tell us which product you want to explore and what kind of environment you work in. We use that context to send a targeted demo or proof-of-concept link instead of a generic product tour.