The platform

Find the failures. Fix them. Ship with confidence.

Four solutions that turn "we think it's safe" into proof — simulation testing, environments, data, and guardrails, working as one loop.

01 · Find

Simulation testing

Exhaustive testing of different scenarios and personas to validate behavior throughout every harness, prompt, or model update.

  • Thousands of scenarios and personas per run, not a handful of prompts.
  • Multi-turn conversations graded per turn against your policy.
  • Re-run automatically on every harness, prompt, or model change.
Simulation coverage
Passed Borderline Critical
02 · Replicate

Environments

High-fidelity replicas of production systems, tools, and APIs so agents can be evaluated end-to-end without touching live infrastructure or customer data.

  • Faithful sandboxes of your tools, APIs, and data stores.
  • Full end-to-end agent runs, no production side effects.
  • No live infrastructure touched, no customer data at risk.
Sandboxed replica
Sandbox
Agent under test multi-turn
Tools mocked
APIs replicated
Data & records synthetic
03 · Ground

Data

Expert-verified evaluation and training datasets grounded in real domain complexity, ensuring measured performance reflects actual production conditions rather than benchmark artifacts.

  • Authored and verified by domain experts.
  • Grounded in real domain complexity, not benchmark artifacts.
  • Measured performance reflects production conditions.
Every record, verified
Domain-expert authoredverified
Single-answer verifiableverified
Benchmarked vs. frontier modelsverified
License-clean provenanceverified
04 · Guard

Guardrails

Continuous policy enforcement and adversarial probing to catch unsafe outputs, off-policy behavior, and regressions before they reach users.

  • Continuous policy enforcement in production.
  • Adversarial probing for unsafe and off-policy behavior.
  • Catch regressions before they reach users.
Live enforcement
✓ On-policy response — allowed
× Jailbreak attempt — blocked
× PII exfiltration — blocked
Use cases

Proof, on the hardest problems.

Where the platform has been put to work end-to-end. More case studies coming soon.

Use case · Frontier model safety

Red-teaming a frontier model at scale

An independent, large-scale red team of a frontier model: 1,805 adversarial simulations across 11 policy categories, multi-turn and graded per turn against policy — producing a full severity-weighted safety assessment.

1,805
Simulations across 11 policy categories
36.0%
Overall attack success rate
250
Critical violations surfaced
11/11
Policy categories breached
Interactive report · contains adversarial content excerpts.View full report
Ready when you are

See it on your own system.

We test whatever you build, against your policy, and you keep every artifact.

Book a Demo