We believe every AI system should be verifiable. Here's how we're making that happen.
The PDF Standard
Before PDF, documents broke when moved between computers. PDF solved "Missing Fonts" by embedding them.
The EPI Standard
AI runs break without the right environment. EPI solves "Missing Context" by embedding the execution.
As AI agents start spending money and signing contracts, "log files" aren't enough. You can't take a log file to court. You need a signed receipt of computation.
The Black Box Defense. Irrefutable proof of intent when agents fail.
Zero-Touch. Automated "Article 11" documentation for EU AI Act audits.
Actuarial Data. Turn "Unknown Risk" into "Calculated Risk" for insurers.
Incident Response. Replay the exact "Attack Path" of a jailbreak or prompt injection.
IP Preservation. Prevent "Bit Rot". Ensure drug discovery runs work 10 years later.
Model Provenance. A "Customs Declaration" for every fine-tune and dataset used.
Capture the "Truth". System-level interception of shell, API, and file events. Ed25519 signed.
Deterministic Replay. Access the "Truth" without needing the original GPU or API keys.
Global Registry. A "DOI for AI" where every major run is publicly verifiable.
From Open Standard to The Trust Network
v2.8.7 is live: open-source MIT package with signed artifacts, policy checks, review, and trust verification.
Deeper agent adapters, stronger enterprise policy controls, and better reviewer workflows around one portable case file.
Central policy libraries, shared review queues, and organization-level trust workflows built on the artifact model.
Run comparison, replay-oriented debugging, and cleaner evidence exchange between engineering, risk, and audit teams.