Ship LLM agents to production with rigorous confidence.
End-to-end evaluation across 20+ dimensions — accuracy, safety, latency, cost, compliance — purpose-built for mission-critical enterprise deployments.
Book a technical review →Trusted by teams shipping AI to production.
"TestML cut our LLM deployment cycle from 14 weeks to under 4. The evaluation framework surfaces failure modes our own QA would never have caught."
James Whitfield
VP Engineering, Enterprise FinTech
"Compliance sign-off used to be a blocker. Now we go into audit with machine-generated evidence trails. TestML made HIPAA readiness a repeatable process."
Sarah Donovan
ML Platform Lead, HealthScale Systems
"We evaluated five vendors. TestML was the only one that could articulate domain-specific risk criteria for our insurance workflows on day one."
Michael Hartley
Head of AI Infrastructure, Global Insurance Group
Evaluation infrastructure built for production risk.
20+ Dimension Evaluation Suite
Measure accuracy, latency, cost, safety, and compliance in a single pipeline. No cherry-picking metrics — full-spectrum evidence on every deployment.
Red-Teaming & Jailbreak Detection
Proprietary adversarial test suites target your specific enterprise threat model — prompt injection, hallucination exploit, and regulatory boundary violations.
Domain-Specific Evaluation Suites
Pre-built methodology for legal, medical, financial, and insurance workflows. Evaluation criteria grounded in real regulatory and operational risk — not generic benchmarks.
Continuous Drift Detection
Automated regression testing and model drift alerting in production. Catch silent degradation before it becomes a compliance incident or customer failure.
Built for serious teams
Pro
For production teams
- ✓Unlimited suites
- ✓Priority support
- ✓Drift detection
- ✓Compliance reports
Enterprise
Mission-critical deployments
- ✓Custom methodology
- ✓Dedicated SE
- ✓On-premise option
- ✓SLA + audit support
Stop guessing. Start measuring what matters in production.
Book a 45-minute technical review with a TestML evaluation engineer. We'll map your deployment risk surface and show you what systematic LLM testing looks like for your stack.
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