Know exactly where your agent breaks
Private evaluations, custom scenarios, and deployment diagnostics for teams building production AI agents. Find the failure modes your users will discover before they do.
What you get
Enterprise evaluation packages include private infrastructure, custom scenario design, and ongoing support for continuous agent improvement.
Private Evaluations
Run evaluations on your proprietary agents in isolated infrastructure. Your agent code, prompts, and results never touch shared systems or appear in public benchmarks.
- Isolated evaluation infrastructure
- Full audit trail and reproducibility
- Results owned exclusively by you
- MCP-compatible agent integration
Custom Scenarios
Scenarios designed around your specific use case. Whether you're building customer service agents, enterprise assistants, or specialized domain experts, we build evaluation environments that match your deployment context.
- Domain-specific NPC behaviors
- Custom objective types
- Tailored scoring dimensions
- Adversarial edge case libraries
Deployment Diagnostics
Detailed failure mode analysis that tells you exactly what's breaking and why. Not just scores, but actionable diagnostics with annotated transcripts showing where your agent went wrong.
- Per-dimension score breakdowns
- Annotated failure transcripts
- Behavioral pattern identification
- Remediation recommendations
Regression Testing
Continuous evaluation as you iterate on your agent. Track performance across versions, catch regressions before they hit production, and build confidence that improvements are real.
- Version-to-version comparisons
- Statistical significance testing
- Automated CI/CD integration
- Historical trend dashboards
How it works
From initial conversation to ongoing evaluation in four steps.
Discovery Call
We learn about your agent, your use case, and the failure modes you're most concerned about.
Scenario Design
We build evaluation scenarios tailored to your deployment context and success criteria.
Pilot Evaluation
Initial run with detailed diagnostics. You see exactly how your agent performs and where it breaks.
Ongoing Testing
Continuous evaluation as you iterate. Catch regressions and validate improvements.
Built for teams assessing agents before deployment
For frontier labs
Compare model variants, post-training changes, and behavioral regressions. Surface the differences that matter in persistent multi-turn interactions where standard benchmarks show no signal.
For safety teams
Surface persistence, deception, and social adaptation failures that static evals miss. Test how your agent handles adversarial social pressure, conflicting objectives, and long-horizon commitments.
For deployment teams
Test custom scenarios before launch and track regressions over time. Know exactly where your agent breaks in the conditions that match your production environment.
Ready to evaluate your agent?
Start with a pilot evaluation. See exactly where your agent breaks and get actionable recommendations for improvement.
Questions? contact@cruciblebench.ai