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Probably raised $9 million in seed funding from Andreessen Horowitz to build more reliable AI. The startup's first product is a data science tool that uses a deterministic validator system to catch hallucinations and factual errors, aiming for 99.99% accuracy. Founder Peter Elias says better harness engineering allows weaker models to perform well.
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