Evaluation audit
A fixed-scope project, typically a few weeks. We evaluate your agent on real traffic and deliver findings and a recommendation for a specific decision.
Services
Two kinds of work, delivered in formats that fit where your agent is today.
Framework implementation
Frameworks such as DeepEval, Langfuse, LangWatch, and Ragas give you the plumbing: tracing, datasets, runners, dashboards. What they can't give you is a definition of quality for your agent. We configure and extend the framework you already use, or help you choose one.
What you get
- Custom metrics that encode your domain rules and workflows
- Evaluation datasets drawn from real production traces
- LLM judges calibrated against human review, with known failure modes
- Regression gates wired into CI, so quality drops block a release
- Documentation and a handover so your team owns it
Research to production
Evaluation research moves faster than evaluation products. Useful methods, such as step-level trajectory scoring, reference-free evaluation, and tool-augmented judges, exist in papers long before any framework ships them. We implement them for your agent and adapt them where real systems break the paper's assumptions.
What you get
- A method chosen from current research for the question you need answered
- An implementation adapted to your agent's actual traces and tools
- Judge ensembles with agreement reporting, so you know which numbers to trust
- Replays of your traffic across models or configurations, with quality, cost, and latency side by side
Engagement formats
Team workshop
Hands-on training for your engineers, remote or on-site: scoring, LLM-as-judge done well, trajectory evaluation, and CI gates, applied to your own agent.
Ongoing evaluation
Recurring evaluation runs whenever you change models, prompts, or tools, so regressions are caught before your users find them.
Pricing is discussed per engagement, based on scope, data access, and timeline.
A good fit if
- Your agent is in production, or close to it, and uses tools across multiple steps
- You have a decision pending: shipping a release, switching models, or cutting cost
- Generic metrics haven't told you whether the agent is actually good
Have an agent that needs evaluating?
Tell us what it does and what decision you're facing. We'll reply with how we would approach it.
Get in touch