Use cases
Start from your problem. We’ll bring the method.
Every use case below is a problem we have solved in production — stated the way you’d say it, with the approach and the numbers. Filter to your world.
16
Use cases
9
Industries
7
Buyer roles
6
Platforms & services
16 of 16 use cases
QAVE
5 use casesStop hallucinations before customers find them
“Your AI assistant answers confidently and wrongly — and you only hear about it from customer complaints, not from your test suite.”
Prove your credit models lend fairly
“Your credit decisioning AI may be biased — and you won’t know until a regulator, a journalist, or a lawsuit tells you.”
Validate claims automation before it denies the wrong claim
“Automated claims decisions are fast — until one wrong denial becomes a regulatory complaint and a headline.”
Ship clinical AI that clinicians can trust
“Clinical decision support that is 95% accurate is also 5% dangerous — and nobody can tell you which 5%.”
Deploy a voice or chat agent that stays on script
“Customer-facing agents improvise — discounts they can’t offer, advice they can’t give, promises you can’t keep.”
CHEQ
2 use casesWalk into a regulatory AI audit already prepared
“The regulator asks how your AI complies — and the evidence lives in scattered docs, tribal knowledge, and a 60-day scramble.”
Run AI inside your perimeter — fully air-gapped
“Your regulator, your board, or your country says the data cannot leave — and every AI vendor you talk to is cloud-only.”
Services
4 use casesSurvive your biggest sale day without a war room
“Your platform works fine at 2× load and falls over at 9× — which is exactly what your next sale event will deliver.”
Test with production-grade data you are allowed to use
“Your best test data is production data — and using it is a privacy violation waiting for an incident number.”
Stand up an AI-ready capability center in 90 days
“You need an AI engineering capability yesterday — and the usual GCC build takes 18 months of hiring before anything ships.”
Test ADAS and embedded AI to functional-safety standards
“Your embedded AI has to satisfy ISO 26262 and SOTIF — and your AI team has never shipped under functional safety.”
Qurator
3 use casesCatch model drift before your users do
“The model you evaluated in January is not the model serving traffic in June — and nothing in your stack will tell you.”
Benchmark AI against your human baseline before cutting over
“You are replacing human workflows with AI on faith — without parity evidence, the first quality dip becomes an executive escalation.”
Make RLHF gains stick in production
“Your alignment gains decay within a quarter — annotator noise, reward hacking, and distribution shift eat them quietly.”
Can’t find your exact challenge?
The list grows from real engagements. If your problem isn’t here, that usually means we’ve solved it under a different name — describe it and we’ll map it in one call.