AI productaidataverificationresearch

AI citation verification service

Build a tool that detects and flags questionable statistics in AI training data. For researchers and publishers concerned about data quality.

Why now

LLMs increasingly propagate unverified claims, creating demand for factual validation.

Who for
AI researchers and publishers
Business model
Enterprise SaaS
Effort
A few weeks

AI systems amplify unreliable statistics when they appear in training data.

Develop a verification layer that scans for suspicious claims and tracks their provenance.

Academic institutions and responsible AI teams would pay for cleaner data inputs.

MVP could be a browser extension highlighting unsourced stats.

Challenge is building authority in an unregulated space.

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AI citation verification service — Ideas