“We have our own homegrown AI infrastructure that we built… use AI, a combination of machine learning, NLP, and LLM technology to turn that into signals that are literally readable by humans.”
How I Invest with David Weisburd · E435: Why Most Companies Aren’t Ready for AI
Play from 16:37
16:37
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What was described
captures product-builder conversations, runs them through a home-grown AI pipeline (ML + NLP + LLM) to produce human-readable signals for investment decisions
Said nearby on the same subject
“One of the hottest companies coming out of Y Combinator is AI agent evaluation… to simulate all of those conversations, those edge cases, put them through and ensure consistency.”
“Trying to do some kind of open source thing ... make it readable for artificial intelligence and do some open source so people can work with their LLMs”