Industry
Technology & Software
Shipping a model inside a product means owning its mistakes. We bring the evaluation harnesses, deterministic guardrails and review tooling that let a product team launch with numbers rather than hope.
The problems we solve
- No measurement of whether the assistant answers from the facts
- Model output used where a rule should decide
- Quality reviewed by sampling because there is no way to rank
- Demos that stop working when a key or a vendor goes away
Client stories
Healthcare & Life Sciences
Triage for segmentation masks with no answer key
A tool that scores every mask against an estimate of what an expert would say, with a confidence band that sets the colour, and sorts the review queue worst first.
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Industrial & Scientific Distribution
Five thousand qualified leads, researched by a system
A platform that finds potential customers, researches each one, ranks them by fit and drops them into the sales team's own CRM with the useful details already filled in.
Read the storyRelated insights
Report · Healthcare & life sciences
Grading a segmentation mask when nobody knows the right answer
Judging a mask against an expert's is arithmetic. The case teams actually face is a model producing thousands of masks with no reference at all. The honest answer is triage: a score, a confidence band that decides the colour, and a queue sorted worst first.
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Article · Evaluation & assurance
Measuring a grounded assistant: context recall and faithfulness
"Does it make things up?" is the only question a business owner asks about an assistant built on their own content. It has a numeric answer, and the number should be on the dashboard before the assistant is on the phone.
Read the articleTalk to someone who has built it
We will show you a system running in your industry before we propose one.