01
Evaluate the AI
We test the agent against real examples and measure how often it gets things right, so quality is a number you can track, not a vibe.
Prove the agent works before it goes live
Capabilities
Everything included, nothing bolted on after the fact.
- Agent evaluation harnesses
- Accuracy and quality metrics
- Automated and regression tests
- Edge case and failure testing
- Integration and end to end coverage
- Adversarial and safety checks
- Drift and regression monitoring
- Release quality gates
*Every build starts with a fixed-scope conversation, no surprise line items after the fact.
Built on three things we don’t bend on.
Honesty
We tell you what AI can and cannot do, then we ship the part that pays for itself.
Speed
Find the one workflow costing the most, ship it to production, prove the return.
Care
Success is hours given back to people and dollars saved. Never the size of the invoice.
The build itself, not a proof of concept.
02
Test the whole system
The code, the integrations and the interface all get proper test coverage, so the parts around the model are as solid as the model itself.
03
Catch the failures
We hunt the tricky inputs, the edge cases and the ways an agent goes wrong, so they surface in testing rather than in front of a customer.
04
Guard against drift
Ongoing checks that flag when a model update or a data change quietly degrades quality, before your users are the ones to notice.
FAQ
Evaluation harnesses that test the agent against real examples and measure how often it gets things right, plus full test coverage across the code, integrations and interface around it.
AI is not deterministic, so the same input will not always give the same output. That makes accuracy something we measure and track as a number rather than assume from a single test run.
No. Ongoing drift and regression monitoring flags when a model update or a data change quietly degrades quality, before your users are the ones to notice.
We hunt the tricky inputs, edge cases and adversarial cases specifically, so they surface in testing rather than in front of a customer.
Talk to us about software testing & quality assurance
Tell us what you’re trying to do and we’ll reply with how we’d build it, no obligation.
You go live with evidence the agent works, and a safety net that catches problems as the model and your data shift, instead of finding out from an unhappy customer.
Let’s talk