PortMem
Independent verification for regulated retrieval

Check your AI-generated documents for hallucinations.

An independent verification solution: it checks each claim against the source documents, confirms what is right, what is wrong and what is ambiguous and needs a human review, and records every decision.

01 The report · a claim is flagged

Meridian's Series X notes pay a 5.55% coupon and mature on 30 June 2031. The aggregate principal amount is US$60,000,000. The notes are governed by New York law.

02 The verdict · checked against the source
contradicts sourceThe controlling source states otherwise.
Sample: Meridian Series X note terms · passage 1 · current
“Aggregate principal amount: US$50,000,000.”
reviewed · 06:43 UTC · “Sample case: the source states US$50,000,000.”
03 The record · what an auditor gets
recorde6778217 · permanent
decisioncontradicts source · reviewed by a person
signeddigitally, with the reviewer's key
proofcannot be altered without detection
time2026-09-15 06:42 UTC
Measured independently

AI models guess when they do not know.

In an independent test by Artificial Analysis, half of the 30 leading models shown gave a wrong answer more than half the time when they did not know it, instead of saying so. The rates run from 15% to 96%.

How often each model answers wrong when it does not know Tap a column for the model and its rate
Lower is better. Of the questions a model did not answer correctly, the share it answered wrong instead of saying it did not know. * Not publicly available.
Data: Artificial Analysis, AA-Omniscience Hallucination Rate, the 30 models shown on their page on 2 October 2026 (of 564 tracked). Chart drawn by PortMem.
Hallucination rate by model (Artificial Analysis, AA-Omniscience, 2 October 2026)
ModelHallucination rate
DeepSeek V4.1 Flash (max)96%
Muse Glimmer (high)82%
Mistral Medium 3.582%
GPT-6 Luna (max)77%
Claude Fable 5.1 (max with fallback)73%
Claude Fable 5.1 (xhigh with fallback)71%
Inkling (xhigh)68%
Claude Opus 5.5 (xhigh with fallback)66%
Claude Fable 5 (with fallback)64%
GPT-6 Sol (max)60%
Claude Opus 5.5 (max with fallback)59%
Gemini 3.8 Flash (high)55%
GPT-6.1 Sol (max)54%
Kimi K3 (max)53%
GPT-6 Astra (max)51%
GPT-6 Astra (xhigh)48%
Claude Sonnet 5.5 (max with fallback)47%
GPT-6 Astra (high)45%
Step 5 Preview43%
MiMo-V2.6-Pro41%
Muse Spark 1.3 (max)33%
Qwen3.8 27B (xhigh)30%
Nemotron 3 Ultra30%
GLM-5.3 (max)30%
Grok 4.7 (xhigh)29%
Qwen3.8 Max (0902)29%
GLM-5.3-Flash28%
K2 Horizon 375B A23B26%
MiniMax-M318%
Gemini 4 Argon (high) (not publicly available)15%

AI should not grade its own work.

Checking AI work by running the AI again and again is slow, expensive, and carries the same bias. The check should not cost more than the job itself.

PortMem checks the work once, against the source documents, independently of the AI that wrote it, and keeps the record.

How it works

Agents run the same loop programmatically (MCP).
  1. 01Upload the governing documentsVersions and amendments handled; a confirmed amendment supersedes its parent.
  2. 02Submit the AI-written reportFrom any tool. Checked in place, never stored as a source.
  3. 03Get the auditPer-claim verdicts with the passage they rest on, omissions, and a gate that holds until a human signs off.
  4. 04Export the proofA signed, time-anchored evidence packet an examiner can verify offline.
What an examiner receives

A signed ledger row, not a PDF.

Every verdict, sign-off and publication is appended to an Ed25519-signed, hash-chained ledger and anchored to Bitcoin through OpenTimestamps. Anyone with the public key can verify it. Nobody with it can forge it.

public key
506a…7c3e
last anchor
seq 2,478 · 2026-09-13 16:57 UTC
verify
a published record, with the key →
646f6b92…0b7d · signoff · reason recordedhuman2026-09-15 06:44
1a1546f1…4d50 · signoff · omissionhuman2026-09-15 06:43
8ea0f9a0…8009 · signoff · omissionhuman2026-09-15 06:43
b8a2c9e8…63d0 · signoff · claimhuman2026-09-15 06:43
35f62efc…be80b5 · verify · 4 claimssystem2026-09-15 06:42
5b58f3c0… · chain_anchor · OpenTimestampssystem2026-09-13 16:57
Production ledger, newest first. Content is never on the ledger; hashes are. All records →

Built for teams whose documents get examined.

Structured-finance desks, fund administrators, trustees, legal teams, regulatory affairs, security review.

Open the console

Free to run the sample case. No card.