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World of Software > Software > AI is bad at data. This startup can fix that
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AI is bad at data. This startup can fix that

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Last updated: 2025/09/17 at 9:34 AM
News Room Published 17 September 2025
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Chatbots and Ai Copilots that Can Write Fluent Emails and Computer Code Explit Statistical Probabilites in Natural or Artificial language to predict the next toKen sequence. But “The moment you try to breach that boundary of language, you start to run into problems, and that’s what people are running into now,” Says Rohan Kodiilam, A Former Data Scientist at Citadel. “If you try to use (generative ai) on a real business application where it’s not just about saying

The Problem Helps Explain Growing Skepticism About The Global Ai Boom. Last Month An Mit Project on “The Agentic Web” reported that despite up to $ 40 billion in Enterprise Investment, 95% of Organizations Aree Sighting No Return. The Study’s Evidence was thin, but us census bureau data does show fewer large companies adopting ai in their operations – the first sustained declineed decline Since Chatgpt ‘20222 Debut.

To address that gap, kodiam and engineer jamie bloxham cofounded sphinx, a Startup building ai designed to work reliable with data. The Seven-Person Firm, Based in Queens, New York, Last Week Raised A $ 9.5 Million Seed Round LED by LightSpeed, with backing from Bessemer Venture Partners, Boxgroup, K5, K5, IMPATIPEP Steve Cohen, Naveen Rao, and Others. Kodiam is Sphinx’s Ceo; Bloxham is cto.

Designed for Data Scientists, Sphinx’s Copilot Targets a Surprising Gap in the LLM market. Over the past year, tools like cursor and windsurf have rested software engineering workflows. But kodiam say that even in quantitative fields where machine is standard, data specialists Lack the kinds of ai copilots available to others.

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