Know whether your AI is ready to ship.
We test the AI inside your product against your own source of truth: your product data, your policies, your brief. You get a clear recommendation, the evidence behind it, and tests you keep.
Catalogue feed diagnostic
For retailers, brands and product-data software using AI to write titles, descriptions and attributes. We find out which setup you can trust across your catalogue, and what it costs per 1,000 products.
How the diagnostic worksCustom evaluations
The same method, applied to other AI-generated business content. For example:
- Support replies, checked against your refund and escalation policy
- Proposals and sales content, checked against the brief
- Choosing or switching the model behind a product feature
Start with the decision, not the leaderboard.
- 01
Define
Agree what good looks like, and which failures must never ship.
- 02
Test
Run models and prompts on real work. Hard checks first, judgement only where needed.
- 03
Improve
Fix what the failures point to, then check the fix on cases held back.
- 04
Prove
A clear call to ship or not, with the evidence and its limits in plain view.
What you can rely on
- Rule-based checks first; judged checks only where rules cannot decide
- Any AI judge is checked against a person's decisions before we use it
- Results held back from tuning, so improvements are real
- Uncertainty and unresolved cases shown, not averaged away
What we will not claim
- Conversion or revenue impact from quality scores alone
- That a model is safe for work we have not tested
- A single score that hides a critical failure
Have a decision coming up?
A model switch, a new category or channel, or less human review. Tell us about it.