The proof layer for AI
AI decisions you can prove.
Verdifax converts AI execution into independently verifiable proof — auditable by regulators, courts, and counterparties.
The problem
AI systems make decisions that affect money, health, and national security.
When those decisions are questioned, there is no reliable way to prove what happened. Logs can be altered. Models can’t explain themselves. Evidence breaks the moment it’s needed most.
The proof
Every decision, sealed into something an outsider can verify.
Verdifax records every step of an AI decision, seals it into a cryptographic artifact, and produces a hash anyone can independently verify — without trusting us, the model, or the operator.
- Stage 1Input
- Stage 2Decision
- Stage 3Execution
- Stage 4Evidence
- Stage 5Seal
- Stage 6Verifiable Hash
The hash is the seal. Re-running the same inputs reproduces it byte-for-byte.
Who it’s for
Built for institutions that cannot afford to be wrong.
01
Defense & Intelligence
Targeting decisions, sensor fusion, and intelligence summarization with sovereign-grade evidence chains.
02
Healthcare
Clinical AI decisions backed by tamper-evident records that satisfy 45 CFR § 164.312(b).
03
Financial Services
Credit, AML, and trading models with cryptographic change-evidence for SOX § 404 IT controls.
04
Federal Civilian
EU AI Act Article 13 traceability and FedRAMP attestation for high-risk AI systems.
The difference
Logs ask you to trust. Verdifax lets you verify.
Others
Verdifax
Logs
Cryptographic proof
Trust the vendor
Verify independently
Explanations
Evidence
Best-effort audit trail
Sealed manifest hash
Technical foundations
Four properties that turn AI output into evidence.
Deterministic Execution
The same inputs always produce the same hash. Reproducibility is a primitive, not a goal.
Hardware-Rooted Attestation
Each run is anchored to a TPM2 / SEV-SNP measurement so the runtime itself is part of the proof.
Cryptographic Sealing
Every input, kernel ID, transcript, and final artifact is collapsed into one SHA-256 manifest hash.
Zero-Knowledge Proofs
Verifiers can confirm correctness without ever seeing the underlying inputs, models, or weights.
Three lines, then you have proof
Real product. Today.
The Verdifax SDK ships in Python today, with native bindings for Go and Rust. Three lines of code turn any AI inference into a sealed, independently verifiable run.
import verdifax
receipt = verdifax.attest(
payload="hello verdifax",
program_id="...",
route_id="...",
registry_record_hash="...",
)
print(receipt.manifest_hash)Engage
Build AI you can defend.
Verdifax is currently engaged with select institutions in defense, healthcare, and financial services. Access is granted on a case-by-case basis.
access@verdifax.com