Verification-as-a-Service
AI fact-checking and verification for reports, marketing claims, and content. Every claim traced to a source, every statistic confirmed, every hallucination caught. Trust your stakeholders can verify.
Why do most approaches fall short?
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.
How do we solve it differently?
Send us any AI-generated document. Our multi-agent verification system independently fact-checks every claim, traces every statistic to its source, flags every hallucination, and returns an annotated report with confidence scores and source links. Think of us as an independent auditor for AI-generated content.
What's included in every report?
Each report is built for your specific situation, but these capabilities come standard.
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 . This demonstrates due diligence to stakeholders.
How does the process work?
Four rigorous stages. No shortcuts, no recycled templates.
Document Submission
Send us the AI-generated document: PDF, Word, or any format. We accept reports, articles, analyses, and marketing content.
Multi-Agent Verification
Multiple independent AI agents fact-check every claim against primary sources, databases, and verified public records.
Cross-Model Validation
Findings cross-checked across different AI models to catch model-specific blind spots and biases.
Annotated Report
You receive the original document annotated with verification status, source links, confidence scores, and corrections.
What do you actually get with this service?
The hallucination problem AI vendors have stopped pretending isn't real
Through 2025 the consensus on AI hallucinations was "we're working on it; the model will improve." That has quietly shifted. Hallucinations are a structural property of how generative models produce text — not a bug to patch out.
The fix is structural. A second AI agent, on different infrastructure with different prompting, whose only job is to verify the first agent's claims against ground truth. Both systems would have to fabricate the same thing independently for an error to slip through. 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.
Common questions about verification-as-a-service?
What is AI fact-checking?
What types of documents can you verify?
How accurate is AI fact-checking compared to human fact-checkers?
Can ChatGPT fact-check itself?
How long does verification take?
What does the verified document look like?
Deep dives on this topic
Industries that engage this service
How firms package this service for clients
Authoritative sources we reference
Trust, but verify
Send us any AI-generated document. We fact-check every claim and return it annotated with sources, corrections, and confidence scores.