AI-Native Compliance & Proof Infrastructure · MCP

Tamper-proof records for
everything your AI does.

Recognitium creates automatic, tamper-proof records of AI activity — decisions, documents, transactions — at the moment they happen. Anyone can verify a record independently, offline, with standard cryptography. No manual log collection. No spreadsheets. No trust required — in us or in you. Your data never leaves your systems; only 32-byte fingerprints are recorded.

01 — WHAT IT DOES

Automatic records

Connect your AI in one line of configuration. From then on, every action it takes can be recorded as a permanent, timestamped record — created automatically as the work happens. Evidence stops being collected before an audit; it accumulates continuously, in real time.

02 — THE PROBLEM IT SOLVES

Logs can be edited

Ordinary logs and spreadsheets can be changed after the fact — so audits and disputes turn into weeks of manual evidence collection and trust checks. Recognitium records cannot be altered by anyone, including us. Any change to the underlying data is detected immediately.

03 — WHY IT IS DIFFERENT

Independent verification

Any record can be checked by a client, an auditor, a regulator, or a court using standard SHA-256 — free, offline, forever. This page re-runs the verification in your own browser. Compliance evidence no longer depends on trusting a vendor or an audit firm.

Live production system

The counter below is the production system's total record count, read directly by your browser. It updates in real time as records settle.

LIVE · production records settled  current tip  engine 

Verify a record now

Below is the id of a real production record, created on 2026-07-23. Press the button: the system answers, and then your own browser re-runs the cryptographic verification to confirm it independently. No account, no cost.

Real production records — verify any of them

The first system audited on this infrastructure is the AI that helped build it: its working files, decisions, and forecasts are all on record. Every item below is a real, checkable production record.

22 July 2026 · 21:41 UTC
A research document is recorded with a nanosecond timestamp — before it was even saved into version control.
DG-5676cc6e4c0a4509b771293935ec0e70
22 July 2026
An AI assistant's complete working memory — 70 files — is recorded, creating a continuous, tamper-evident audit trail.
DG-c9c7890d1c8b40e4a803a134203771a7
23 July 2026
Four forecasts with probabilities are recorded — a permanent track record that cannot be edited after the results come in.
DG-4112c4efd67543ceb6282523b7be7752
23 July 2026
A design document is recorded — its supporting evidence is itself a set of verifiable production records.
DG-6c1cfab8235e46cdaebdd34abc3c2efc

What teams use it for

AI COMPLIANCE

EU AI Act record-keeping

The AI Act requires automatic, tamper-evident logging for high-risk AI systems (Articles 12, 19, 26). Recognitium is that logging layer: records are created by the AI itself, retained verifiably, and ready for a regulator at any moment — no retrofitting, no manual exports.

AUDIT AUTOMATION

Evidence without headcount

Replace audit-season evidence gathering with records that accumulate continuously. Produce an audit-ready evidence package for any period, on demand — every entry independently verifiable, including proof that monitoring ran without gaps.

IP & PRIORITY

Prove you had it first

Record a document, design, dataset, or invention without disclosing its contents — only the fingerprint is recorded. Establish priority with a nanosecond timestamp you can produce years later, to a counterparty or a court.

DISPUTES

Evidence both sides can check

When an AI's action is challenged — by a client, a partner, or in litigation — produce the record: what happened, when, and that it hasn't been altered since. The other side verifies it themselves; no expert witness needed for integrity.

Connect your AI — one line of configuration

Recognitium is listed in the official MCP registry (Model Context Protocol — the standard integration layer for AI applications like Claude and Cursor). Add this to your AI application's settings; from then on, your AI creates and verifies records as part of its normal work. No SDK, no code changes.

{
  "mcpServers": {
    "recognitium": { "type": "http", "url": "https://www.recognitium.com/mcp/rpc" }
  }
}

Three automated behaviors, no human in the loop:

Record on writeAfter each action or memory update, the AI fingerprints the data locally and records the fingerprint — one cent per record. The data itself stays private and editable; its history becomes permanent and tamper-evident.
Verify on startupBefore trusting its stored data, the AI checks every item against its records. Anything altered, injected, or rolled back to an old version is flagged and quarantined automatically — at no cost.
Trace on failureIf a record turns out to be wrong, one query returns everything derived from it — the exact impact list for incident response, instead of re-auditing everything.

Pricing

Verification is free, for everyone, permanently. Creating a record costs one cent. You fund your AI from the console Wallet — AI agents can spend, never purchase. Continuous monitoring of a busy AI system costs cents per day, not analyst salaries.

Verification — free, no account

read access
  • verify_receipt — is this record authentic and unaltered?
  • prove_anteriority — did this exact content exist at that time?
  • chain_tip — the live head of the record chain
  • check_silence — prove no record exists for a period (coverage-scoped)
  • agent_cv — any AI agent's verifiable track record

Recording — 1¢ per record

write access
  • seal_hash — record any fingerprint
  • memory_seal — add an entry to an AI's audit trail
  • memory_verify — the startup integrity check (free with account)
  • memory_history — the full audit trail, entry by entry (free with account)
  • lineage_trace — impact analysis when a record proves wrong (free with account)

What a record proves — and what it does not

  • A record proves when, not truth. It proves this exact content existed at that exact moment and is unaltered since — not that the content is correct.
  • Tamper-evidence, not tamper-prevention. Data can still be attacked — but never silently. Every alteration is detectable and attributable.
  • Lineage is chain of custody, not validity. It shows what evidence a conclusion declared; undeclared influences are not visible to it.
  • Proof of absence is coverage-scoped. A missing record proves an event did not happen only for periods where monitoring is proven to have been running.