Verification-as-a-Service

AI Fact Checking & Verification Service

We check every claim, number and source in your AI-written reports and content before anyone else reads them.

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What you get

Claim-by-Claim Verification
Every factual claim in the document is independently verified against primary sources. No claim goes unchecked.
Source Link for Every Fact
Each verified claim gets a source link. Your stakeholders can verify anything themselves with one click.
Hallucination Detection
AI-fabricated statistics, fake citations, invented quotes, and plausible-but-false claims identified and flagged.
Confidence Scoring
Each claim scored: Verified (high confidence), Partially Verified, Unverifiable, or Contradicted by Evidence.
Correction Suggestions
For flagged claims, we provide the correct information with sources, ready to plug in.
Trust Certification
Verified documents receive an Elevated Signal trust certification, which shows stakeholders the due diligence was done.

How it works

Step 1
Document Submission
Send us the AI-generated document: PDF, Word, or any format. We accept reports, articles, analyses, and marketing content.
Step 2
Multi-Agent Verification
Multiple independent AI agents fact-check every claim against primary sources, databases, and verified public records.
Step 3
Cross-Model Validation
Findings cross-checked across different AI models to catch model-specific blind spots and biases.
Step 4
Annotated Report
You receive the original document annotated with verification status, source links, confidence scores, and corrections.

Scope, methods and delivery

The problem we address

AI generates impressive-looking reports. But how do you know they're accurate? LLMs hallucinate facts, invent statistics, and cite sources that don't exist. If you're presenting AI-generated analysis to clients, investors, or regulators, one hallucinated fact can destroy your credibility.

Our approach

Send us any AI-generated document. Our multi-agent verification system independently fact-checks every claim, traces every statistic to its source, flags claims it can't support, and returns an annotated report with confidence scores and source links. Think of us as an independent auditor for AI-generated content.

Why AI-written claims need a separate check

Hallucinations remain a documented risk in language-model output. OpenAI's 2025 research argues they persist because standard training and evaluation reward confident guessing over admitting uncertainty.

A second model alone doesn't fix that: different models tend to get the same questions right and wrong, so agreement between them proves little. Our verification pass checks each claim against primary evidence, links the evidence it found, and flags unresolved or conflicting claims for human review. That's verification-as-a-service.

What gets verified, and against what

For each AI-generated artifact — a report, press release, deck, brief, customer email, analysis memo — the verification layer checks:

Every numeric claim against an authoritative source
Every named-entity reference against a canonical record
Every quoted statement against the primary publication
Every cited statistic against the underlying study

Sources are tiered. Primary government data, peer-reviewed research, audited financial filings, and direct-from-vendor pricing pages weight higher than secondary or tertiary sources.

The data fabric draws from public datasets we maintain: regulatory and enforcement records, SEC filings, USPTO patents and trademarks, IRS Form 990 disclosures, federal and state contract databases, healthcare regulatory records, and a long-running archive of consumer discussions. When a claim cannot be matched to a verifiable source, it's flagged for human review rather than silently accepted.

What you get back

The verification report on a piece of content is a structured document. Each claim is listed and scored:

Green — high-confidence verified, with citation
Yellow — partially supported, with the gap noted
Red — unsupported or contradicted, with disconfirming source linked

The summary section gives you a single decision: ship-as-is, ship-with-edits, or do-not-ship.

Turnaround runs from 30 minutes (short-form content like a press release) to 24-48 hours (long-form content like an analyst report or due-diligence memo). Volume contracts integrate via API so verification runs automatically before publish.

Where this fits in your stack

Verification-as-a-service fits any organization producing volume AI-generated output for external audiences with reputational or legal exposure:

Marketing copy at scale
AI-drafted client communications in regulated verticals
AI-summarized research reports
AI-assisted compliance documentation
Customer-support knowledge-base content

It also fits internal use cases where decisions hinge on AI-summarized data — board materials, investment memos, regulatory filings.

It does not fit purely internal exploratory work where the cost of an occasional wrong claim is small and bounded. The economics work where a single wrong claim costs more than a year of verification — which is most external-facing content for any brand with reputation value.

Verification-as-a-Service questions

What is AI fact-checking?

AI fact-checking is the process of verifying claims made in AI-generated content against real data sources. LLMs hallucinate facts, invent statistics, and cite sources that don't exist. Our service runs every claim in your document through multiple independent AI agents that cross-reference against SEC filings, patent databases, government records, academic papers, and archived consumer discussions across social platforms across forums and review platforms. Each claim gets a status: Verified, Incorrect, Unverifiable, or Needs Context.

What types of documents can you verify?

Any document with factual claims: market research reports, competitive analyses, investment memos, marketing content, regulatory filings, press releases, whitepapers, board presentations, grant proposals, and custom research reports. If someone is going to make decisions based on it, we can verify it's accurate before it goes out.

How accurate is AI fact-checking compared to human fact-checkers?

Every claim requires independent confirmation from multiple sources before it's marked Verified. When sources conflict, the claim gets flagged for additional review. We check every claim in the document, not just the ones that look suspicious.

Can an AI chat assistant fact-check itself?

Not reliably on its own. Asking an assistant to reread its draft without new evidence has limits, because it brings the same knowledge and blind spots that produced the errors. Effective verification requires cross-referencing against external databases and primary sources. Every claim gets checked independently against its original source, and any we can't trace are marked unverifiable. This is the same principle as independent auditing: you don't ask the author to review their own work.

How long does verification take?

Standard turnaround is 24 hours for documents up to 50 pages. Rush service (4-8 hours) is available. You receive the original document annotated with each claim's verification status and source links, with corrections where a claim is wrong.

What does the verified document look like?

You get your original document back with inline annotations: green for Verified (with source link), red for Incorrect (with correction and correct source), yellow for Unverifiable (with explanation), and blue for Needs Context (claim is true but misleading without additional context). Plus a summary scorecard showing overall accuracy rate and the most critical errors found.

Services

Guides

Public sources we use: Stanford HAI, NIST AI Risk Management, Hallucination (artificial intelligence) (Wikipedia).

Trust, but verify

Send us any AI-generated document. We fact-check every claim and return it annotated with sources, corrections, and confidence scores.

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