For teams
For teams that receive AI output.
Argus is the audit layer between someone else's AI and your sign-off.
Who uses Argus
Legal & compliance
- Verify cases cited in opposing counsel's AI-drafted briefs
- File the Argus evidence trail as part of your response
- Catch fabricated citations before they reach the courtroom
AI governance
- Audit checkpoint between 'model said it' and 'we signed off'
- Systematic factuality verification for AI-generated content
- Full reasoning chain — every step auditable and traceable
Investment & research
- Triage long AI-generated research notes from vendors
- Audit RAG outputs before they enter analyst memos
- Surface only the claims that need a human's eyes
What it does
4 types of error detection
Fabricated references, misrepresented sources, and outdated data — caught by an autonomous verifier that picks its own sources and tools per claim — plus internal contradictions flagged by a separate cross-claim consistency check.
Full reasoning transparency
Every web search, every fetched source, and every reasoning step is recorded and visible. Not a black-box score — a readable audit trail.
Decomposed confidence score
Every verdict's confidence breaks down into three auditable factors — source authority, evidence freshness, and source agreement — so reviewers can see why a finding is trusted, not just how much.
Exportable audit report
Download an Audit Pack, Evidence Station JSON, or Executive Markdown — ready to file, attach, or integrate into your workflow.
Ready to audit your next AI report?
Run it through Argus before you sign off — fabricated citations and false claims, surfaced with evidence.