While building AI features, I kept running into issues with corrupted formatting, missing brackets, and weird characters in raw JSON/CSV files breaking my pipelines.
Sending them to generic LLMs often caused hallucinations or mutated the schema, and writing custom regex for every edge case was painful.
Today, I launched CleanData AI to fix this: automated structural repair and sanitization for structured files with 0% hallucinations.
We just went live on Product Hunt today! I’d love to get feedback from fellow builders:
- How do you currently validate or clean messy data for your LLMs?
- Any suggestions on the product positioning?
Check out our launch page here: https://www.producthunt.com/products/cleandata-ai?utm_source=other&utm_medium=social
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