Give Us One AI Workflow. We'll Show You Where It Breaks.
Scope a focused evaluation sprint to find out how your AI system actually performs, no platform to learn first.
Scope
Define the workflow and what "good" means.
Build
Create representative, edge, adversarial, and historical-failure scenarios.
Run
Execute automated and human evaluation.
Diagnose
Identify and evidence failures.
Deliver
Receive an evaluation report and prioritized remediation.
Protect
Turn critical failures into permanent regression tests.
Every evaluation produces
Evaluation Suite
- Test scenarios
- Rubrics
- Adversarial cases
- Multilingual cases
Execution Evidence
- Inputs & responses
- Tool calls
- Agent trajectory
- Expected vs. actual outcome
Failure Intelligence
- Severity
- Failure category
- Root cause
- Evidence
Remediation
- Recommended fix
- Regression test
- Updated evaluation suite
Choose a starting scope
Agent Evaluation Sprint
Scope a focused evaluation of a single agent or workflow: automated testing plus human verification of the hardest cases.
- Custom Test Scenarios
- Automated + Human Evaluation
- Failure Taxonomy
- Quality Scorecard
Full Evaluation Sprint
End-to-end evaluation across multiple dimensions: accuracy, safety, tool use, and multilingual behavior.
- Multi-Dimension Test Suite
- Automated + Human Evaluation
- Evaluation Report
- Regression Test Set
Continuous Evaluation Program
Ongoing regression testing and quality monitoring as your models, prompts, and workflows evolve.
- Versioned Regression Suite
- Recurring Evaluation Runs
- Drift & Quality Reports
- Dedicated Evaluation Lead