The niche: trustworthy AI model evaluation
Teams choosing or fine-tuning models based on benchmark scores, and anyone publishing model results.
Why this niche exists now
- Benchmark contamination is a widely discussed problem in AI evaluation.
- Buying decisions rely on benchmark scores.
What people use today, and where it falls short
| What teams do today | Where it falls short |
|---|---|
| Trust published scores | Contamination inflates them. |
| Build private tests only | Expensive, and still needs checking. |
What makes Contamination Scanner different
- Control items make it a comparison, not a guess.
- Deterministic.
How big is the opportunity?
Do not quote market-size statistics on a call. Most published figures are surveys or vendor estimates, and a smart buyer will ask for the source. Size the opportunity per prospect instead, with these questions:
- Do you pick models by benchmark scores?
- Do you publish scores?
If the honest answers are "no" or "not yet", they are not a buyer today. Note it and move on; that is good selling, not failure.
Explain the niche in 30 seconds
Teams choosing or fine-tuning models based on benchmark scores, and anyone publishing model results.
Contamination Scanner checks whether a model memorized the test it is scored on, so you don't buy a score instead of a model.
Practise saying this out loud until you can do it without reading. Then say it in your own words.
Words your buyers use
These are the phrases people in this niche type into search engines and use in posts and job ads. Use them to find prospects (page 3) and to talk their language:
benchmark contamination data leakage LLM evaluation model memorization
Sell it together with
Buyers rarely have just one problem. When this product fits, these often fit too:
| Product | Why it goes together |
|---|---|
| AGENT-CI | regression tests |
| CainDrift | model swap checks |
| Deterministic math gates | significance tests |
Rule: open with one product. Mention a second only after the first is agreed.
Next: who buys and where to find them →
FIRME AI CORPORATION · CAIN-42 is a Byzantine trust fabric. Numbers marked "our own check" were run by us, not by an independent party. Nothing on these pages is a certification.