Ship AI you can prove.
Deploy with mathematical certainty.

ResEthiq gives your team cryptographic proof that AI training data is clean, compliant, and unmodified — so you can deploy with confidence into any regulated environment.

Trust Kernel v1.4.2 is now available. Read the release notes →

Request a pilot → View product Documentation →

Trust Console live · v1.4.2

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APPROVED

RUNNING

VERIFIED

Zero server trust · Ed25519 · offline-verifiable View docs →

The Protocol

Four steps to certify any dataset, in any pipeline.

Full architecture →

01 · FREEZE

Canonical Snapshot

Deterministic byte encoding. Same dataset + spec = identical output on any platform, any OS, any time.

02 · EXAMINE

Forensic Analysis

Policy engine runs every check — schema, nulls, leakage, distribution, version consistency. Configurable per domain.

03 · ENFORCE

Binary Verdict

APPROVED or REJECTED. No partial passes. Machine-readable exit codes integrate directly into CI/CD gates.

04 · CERTIFY

Signed Policy Object

Ed25519-signed SPO issued. Merkle root locked. Independently verifiable forever — no ResEthiq account needed.

What ResEthiq Enables

Your team deserves to deploy AI with complete confidence.

Regulators, auditors, and partners now accept cryptographic evidence chains as the gold standard. ResEthiq makes this capability accessible to any AI team, in any pipeline, across any industry.

✅

Regulatory submissions that pass first time

FDA, EMA, and EU AI Act reviewers can verify your data provenance instantly. Ship submissions backed by cryptographic proof — not just documentation.

⚖️

Court-defensible evidence chains

Every AI-driven decision your organization makes is backed by a reproducible, independently verifiable evidence chain that holds up in any legal or regulatory forum.

🔐

Cryptographic proof of data immutability

Prove — with mathematical certainty — that your dataset is identical between training and production. Your auditors will thank you.

📈

Reliable models built on verified data

Catch schema drift, label errors, and contamination before training begins. Bring AI to production with full confidence in your data foundation.

resethiq · trust-kernel v1.4.2

ResEthiq Trust Kernel v1.4.2 ────────────────────────────────── $ rk freeze --input dataset.parquet \ --spec policy_v3.yaml --sign rows : 2,341,887 mode : streaming (64 MB chunks) platform : Linux x86_64 ✓ canonical bytes complete ✓ merkle root a3f7c29d14b8e6f2... ✓ inclusion proofs generated ✓ policy policy_v3.yaml ✓ all 14 rules PASS ✓ ed25519 sig applied OUTCOME: APPROVED exit 0 · 2025-03-08T08:43:11Z · spo_v3.cbor

All systems operational ·Trust Kernel v1.4.2 ·Verifier CLI v1.4.2

Core Infrastructure

Four components. One unbreakable chain.

View architecture →

🔐

Trust Kernel

rk · Rust

Deterministic Merkle root computation, canonical encoding, and Ed25519 signing. Streaming mode for 5M+ rows.

RustStreaming

🔍

Verifier CLI

resethiq-verify

100% offline verification. Recomputes Merkle roots, validates Ed25519 signatures. Machine-readable exit codes for CI/CD.

OfflineCI/CD

🗃️

Evidence Ledger

Postgres + CBOR

Content-addressed, immutable object store. Index rebuildable from object storage. No single point of failure.

ImmutableContent-addressed

📋

Audit Bundle

PDF + CBOR + ZIP

Self-contained evidence pack: PDF report, signed SPO, policy digest, public key. Share directly with regulators.

PortableAuditor-ready

Why ResEthiq

The only cryptographic integrity layer built for regulated AI.

Capability	Data Quality Tools	ResEthiq	Manual Audits
Cryptographic proof	✗	✓ Ed25519-signed SPO	✗
Offline verification	✗	✓ 100% offline	✗
Tamper detection	⚠ Alerts only	✓ Mathematically certain	⚠ Manual review
Regulatory evidence	✗	✓ Defensible chain	⚠ Limited
Policy enforcement	✗	✓ Approved / Rejected	✗
Train/test leakage	⚠ Approximate	✓ Exact row-level	✗
CI/CD integration	⚠ Partial	✓ Machine-readable exits	✗

Ship AI you can prove.Deploy with mathematical certainty.