The niche: verification of AI agent output

Teams whose agents produce records, numbers, quotes or files that other systems act on.

Why this niche exists now

• Agents now write directly into other systems.
• Checking with another AI model gives a different answer each time.

What people use today, and where it falls short

What makes VeritasEngine different

• No AI in the checking.
• Same input, same answer.
• One failure refutes all.
• Signed receipts.

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Do not quote market-size statistics on a call.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:

• What agent output do other systems trust automatically?
• What would a wrong number or leaked key cost?

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

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:

output validation LLM output verification guardrails deterministic checks

Sell it together with

Buyers rarely have just one problem. When this product fits, these often fit too:

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.