01
Check against the truth
We compare the agent output against known correct answers, so accuracy is measured and proven rather than assumed.
Prove the outputs are right before you rely on them
What it does
Capabilities
Everything included, nothing bolted on after the fact.
- Output accuracy validation
- Ground truth comparison
- Guardrail and limit testing
- Edge and adversarial cases
- Safety and refusal checks
- Confidence and reliability read
- Sign off before go live
- Ongoing revalidation
Why it holds up
Built on four 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.
Craft
Production systems, not slideware. Built around how you actually work.
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.
What you get
The build itself, not a proof of concept.
02
Confirm the guardrails hold
We test that the agent refuses what it should, stays inside its limits and hands to a human at the right points, even under pressure.
03
Stress the edges
We push the tricky, unusual and adversarial inputs to see where the agent breaks, before a real user finds the crack.
04
Validate it is safe to ship
A clear read on whether the outputs are correct and safe enough to rely on, so go live is a decision backed by evidence.
Questions
FAQ
We compare agent output against known correct answers, confirm the guardrails hold under pressure, and push tricky and adversarial inputs to see where the agent breaks.
Validation is specifically about proving the outputs are correct, safe and within the limits you set before go live, rather than the ongoing test coverage across the wider system.
We test that it actually does. Guardrail and limit testing confirms the agent refuses what it should, stays inside its limits and hands to a human at the right points, even under pressure.
Both. There is a sign off before go live, and ongoing revalidation after, so go live and every stage after it is a decision backed by evidence rather than a one time check.
Get in touch
Talk to us about technical validation
Tell us what you’re trying to do and we’ll reply with how we’d build it, no obligation.
You put the agent live knowing its outputs have been proven correct and safe, so you are relying on tested evidence rather than a hope that it usually gets it right.
Let’s talk