EPI is most valuable when an AI workflow affects money, access, eligibility, or safety and someone may later need a trustworthy case file.
Logs, screenshots, and vendor histories fragment the story. EPI packages execution steps, policy, review, and trust state into one artifact that can travel between teams.
Reviewers need the actual rulebook, not a verbal summary. EPI can seal the active policy and the resulting control outcomes into the artifact itself.
Machine findings alone are not enough. EPI preserves the flagged rule, the relevant step, and the human review decision in the same case file.
Important records lose value if they can be rewritten silently. EPI makes integrity and signature state explicit, including when an artifact has been tampered with later.
EPI fits best where an AI system affects a meaningful decision and another person may need to inspect that decision later.
FDA PCCP + EU AI Act: Clinical trial AI requires cryptographic audit trails. Medical device approvals need explainable model decisions.
SEC/RBI/FCA Compliance: Algorithmic trading, credit scoring, and AML systems require full transparency and bias testing.
NAIC + State Laws: NY, Colorado, California now require explainable AI for underwriting decisions. Bias audits are mandatory.
ABA Ethics + Courts: AI-assisted document review needs transparent decision trails. Courts require proof of human oversight.
NYC Law 144 + State Laws: AI hiring tools require independent bias audits. Illinois, Colorado, California have active legislation.
EU AI Act + EO 14110: All AI used in public services classified as high-risk. Federal agencies must document AI decision-making.
Reproducibility Crisis: 70% of AI research fails to reproduce. EPI creates "Executable Papers" - one-click proofs of every experiment.
Why portable evidence matters once AI decisions have real business consequences.
Use of AI in medical devices (SaMD) now requires a Predetermined Change Control Plan (PCCP). Manufacturers must prove that every model update matches their pre-validated protocol. Current manual logging is error-prone and rejected by auditors.
EPI creates a cryptographically signed snapshot of the code, data, and environment for every single run. It provides the immutable evidence that the FDA demands, proving that the executed code matches the approved protocol exactly.
Banking regulations (SR 11-7) mandate rigorous Model Risk Management. Banks must explain why an algorithm denied a loan. "Black box" AI models creates massive liability and regulatory fines for lack of explainability.
EPI acts as an independent black-box recorder. Its Ed25519 signatures enable Non-Repudiation - a mathematical proof that the record hasn't been altered. This is the "gold standard" audit trail for compliance teams.
Screenshots and logs are easily faked. In court, "deepfakes" and AI-generated content are challenging traditional Chain of Custody. Without cryptographic proof, digital evidence is increasingly inadmissible.
Every .epi file is sealed with a private key. This creates an unbroken Chain of Custody from the moment of creation. It proves who ran the model, when, and that the evidence is 100% authentic.
The only solution that provides cryptographic proof, not just logs.
| Feature | EPI LABS | Weights & Biases | MLflow |
|---|---|---|---|
| Replayability | Deterministic Replay | Logs Only | Versioning Only |
| Evidence Type | Signed .epi File | Dashboard | Model Registry |
| Offline Mode | Full Replay | Cloud Dependent | Partial |
| Legal Defense | Admissible Proof | No | No |