Makes AI research agents accountable by giving every conclusion a traceable argument graph. Provides a persistent argument graph where claims require grounds and warrants for auditable, verifiable reasoning.
Deterministic AI liability attribution engine. Scores fault across AI supply-chain participants (deployer, developer, vendor) with tamper-evident certificates and weekly cryptographic anchoring.’
Enables AI agents to replace self-reported done checkboxes with verified, evidence-based completion tracking, using automated FAIL_TO_PASS/PASS_TO_PASS tests, mandatory mutation checking, and explicit human/AI reviews when automated proof is impossible.
Tracks architectural decisions with testable predictions, outcome validation, and in-band feedback nudges to close decision loops for AI agents and teams.