Verification

A second model checks the first, then a person checks both.

Every output bound for you is reviewed by a model from a different family, which flags unsupported statements, contradicting evidence, and overstated confidence. Analyses are re-executed and compared before delivery. Then a person reads it.

• ✓Cross-family independent review catching unsupported and overstated claims
• ✓Adversarial critique searching for contradicting evidence
• ✓Re-execution comparison for computational outputs before delivery
• ✓Exportable verification records attached to every sent output