How matching works

VerityBase uses AI-assisted matching to connect what a Buyer needs with the solutions most likely to help — while keeping unverifiable claims from crowding out honest ones.

From need to match

1. You describe a need in plain words, or upload a report.
2. VerityBase ranks Suppliers and solutions against it.
3. Each result carries two signals:
   • a match score (out of 100) — how well it fits, and
   • a trust label — how well its claims are backed up.

See Trust & verification for what the labels mean.

No greenwashing, by design

The ranking is built so overstated or unverifiable claims don't quietly outrank well-evidenced ones. A closer fit (higher score) and a stronger trust label are two different things — VerityBase shows both so you can weigh them yourself.

Tips for better matches

• Be specific. "Reduce Scope 3 emissions in cold-chain logistics" beats "be more sustainable."
• Suppliers: describe solutions with concrete, verifiable evidence — it both matches better and earns a stronger trust label.