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I kept winning data science competitions by trying every algorithm. So we automated that process.
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Someone needs to be the safety layer for enterprise AI. That's a less sexy but more durable business.
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$1 billion raised on the thesis that enterprises need ML but don't have enough data scientists.
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Enterprises want both: RPA for structured tasks, AI for unstructured ones. We bridge that gap.