Agent Evaluation & QA
You have deployed agents.
Now prove they work.
When a traditional API breaks, your tests catch it. When an agent starts choosing the wrong tools, hallucinating intermediate steps, or taking inefficient paths, nobody notices until a customer complains. We fix that.
What we evaluate
Not just the answer, but the path to get there
Trajectory Quality
Is the agent selecting the right tools in the right order? Are there unnecessary steps, wasted tokens, or redundant calls? Does it recover from tool failures?
Output Correctness
Is the final answer grounded in retrieved data? Does it satisfy the user’s intent? Does it match expected outputs for known test cases?
Regression Detection
Did your last deployment make the agent worse? Are specific query types degrading over time? Is a model update changing tool selection behaviour?
How we evaluate
Four methods, combined for best results
⚙️ Deterministic Match
Tool selection, argument correctness, ordering constraints. Zero LLM cost. Fast. Good for known-good paths.
🧠 LLM-as-Judge
Nuanced trajectory quality, output correctness, style. Domain-specific prompts tuned to your use case. For when deterministic is too brittle.
📊 Statistical
Regression detection, drift monitoring, A/B testing. Track quality over time across deployments and model changes.
👥 Human-in-the-Loop
Calibrating LLM judges, handling edge cases, defining initial quality criteria. Your team’s expertise, systematised.
Service tiers
From quick health check to full evaluation system
Eval Audit
- Trajectory analysis report
- Quality scorecard with baseline
- Failure mode catalogue
- Prioritised recommendations
Eval Suite Build
- Custom evaluation criteria
- Deterministic test suites
- LLM-as-judge evaluators
- Reference trajectories
- CI/CD integration
- Quality dashboard
Ongoing Maintenance
- Monthly eval review & tuning
- New tests for new features
- Regression investigation
- Quarterly trend report
- Direct support channel
Framework-agnostic
We evaluate your agents regardless of how you built them
LangChain / LangGraph
Native trajectory format support. LangSmith integration if you use it.
Custom Orchestration
OpenAI-format message traces, any tool-calling pattern. Most of our clients are here.
CrewAI / AutoGen / Others
If it produces message traces, we can evaluate it. Framework is irrelevant to quality.
Find out how your agents are really performing
Free 30-minute discovery call. Bring your agent, we will tell you what we would measure and why.