Platform
Recognition Intelligence
Measure what AI understands. Recognition Intelligence compares verified organisational claims with what AI environments actually reconstruct, claim by claim.
From claims to measured recognition
Recognition is the degree to which a verified organisational claim survives machine interpretation. It can only be measured against a reference layer of facts the organisation can prove.
Each observation is compared with that reference and classified, so a Recognition Score can always be decomposed back to the individual claims behind it.
What is measured
- Recognition state per claim and per environment
- Omissions and contradictions
- Outdated or superseded interpretations
- Cross-environment variance
- Stability across repetitions
Why fact-level measurement matters
An aggregate score without claim-level detail cannot be acted on. Fact-level recognition identifies exactly which claim is weak, in which environment, under which conditions — which is also what makes a later retest meaningful.