| What it does | Independent verification for AI agent outcomes
| AI verification layer for professionals to check AI answers for facts, reasoning and sources
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| Stage | Startup
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| Founded | Not given
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| Based in | Not given
| NL
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| Pricing model | Freemium
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| Pricing | Hobbyist: free forever with 250 checks/month; Pro: $9/month with 2,500 checks/month, $0.01 per extra check
| Starter (Free): 10 checked questions/month; Essential €79/month (€66/month yearly): 50 questions/month; Professional €199/month (€166/month yearly): 300 questions/month, 5 users; Compliance €399/month (€333/month yearly): 1,000 questions/month, 25 users. Evidence Engine module €250/month (€209/month
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| Key features | - Independent outcome verification with VERIFIED, FAILED, or UNKNOWN status
- First-party adapters for Stripe, GitHub, Linear, Sentry, Resend, and HTTP endpoints
- MCP integration with Claude Code, Cursor, and any MCP host
- GitHub Actions required check that fails on unverified claims
- Audit trail storing claims, evidence, and verdicts separately
- Capability inspection before agents call tools
- Read-only credential access with AES-256-GCM encryption
- Continuous monitoring with watches every 5-10 minutes on Pro plan
- Evidence retention for 7 days on Hobbyist, 1 year on Pro
| - Multi-model fact checking with independent verification by different AI models
- Critical counter-reading to identify weak assumptions and missing arguments
- Source verification with current citations for claims
- Visible verification trail showing every step and model disagreement
- Semantic Privacy Shield for pseudonymisation of sensitive data
- Vera Office for document analysis and editing with automatic checks
- Vera X-Ray for local data discovery before sending to Vera
- Transparent cost tracking per verification step
- API integration for connecting to custom software
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| What makes it different | - Refuses to guess: returns UNKNOWN rather than false positives when evidence is unreachable
- Neutral gate between agent execution and success verification
- Runs the same way in production as in development
- Never needs write access, only reads authoritative state
- Structured audit trail for debugging and agent evaluation
| - Uses multiple independent AI models to check each answer, preventing any single model from having the final word
- Shows all model disagreements and corrections visibly rather than hiding them behind a confidence score
- Transparent about limitations and does not claim to eliminate hallucinations
- Built in the EU with data processing in customer-isolated environments
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 2 ● no change since last check | 28 ● no change since last check |
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| Trust Flow (Majestic) | 1 | 20 |
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| Citation Flow (Majestic) | 23 | 35 |
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| Referring domains (Majestic) | 14 | 135 |
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