Show HN: Veritrooper – find what your AI gets wrong about your own docs

Category: ai-ml

Tags: llm-evaluation, hallucination-detection, ai-accuracy, regulatory-compliance, grounding

Score: 8.3/10 (Innovation: 8, Technical: 9, Documentation: 7, Utility: 8)

Veritrooper is a tool that measures and improves LLM accuracy on domain-specific documentation by generating verified question sets and running two-pass audits (baseline vs. grounded evidence). It uniquely combines multi-hop retrieval, cross-vendor verification, and regulatory compliance evidence generation, making it a practical solution for high-stakes deployments in regulated industries.

Target audience: AI/ML engineers, data scientists, compliance officers, backend devs

Repository: https://veritrooper.com/

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