01.
Baseline benchmarking
We measure output quality, latency and reliability against real production traffic and your existing safety benchmarks. No synthetic demo data.
PLATFORM EVALUATION
Know your AI platform's real quality before you ship it.
End-to-end assessment of output quality, latency, reliability and safety, including red-teaming and agentic AI workflows, tested against real-world conditions. Built for teams that need real control and governance, not a black box.
A rigorous evaluation,
not a checkbox audit.
02.
Red-teaming & adversarial testing
Structured red-teaming against your models and agentic AI workflows to surface failure modes before your customers do.
03.
Governance & safety scorecard
A written scorecard ranking every finding by severity, mapped to the governance and compliance posture your organisation actually needs.
04.
Remediation roadmap
A prioritized, implementation-ready plan covering what to fix first, what to monitor continuously, and where Quality Engineering or the Advocacy Program picks up.
Real control and governance, not a black box.
BLACK-BOX VENDOR
Opaque platform scoring
- A single score with no visibility into how it was calculated.
- No red-teaming against your actual agentic AI workflows.
- Findings you can't hand to your own engineers to act on.
OPENCREVO
Platform Evaluation
- Full-transparency benchmarks across output quality, latency, reliability and safety.
- Red-teaming and safety benchmarks tested against real-world conditions.
- A written, prioritized remediation roadmap your team can implement directly.
99.2%
Output reliability achieved
6 wks
Enterprise AI assistant safety audit
94%
Hallucination rate reduction
Ready to build the fixes, not just find them?
See Quality EngineeringNeed continuous evaluation, not a point-in-time check?
See the Advocacy Program