predictive-genai
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Pecan AI
Pecan AI is an Israeli-American software company that builds a predictive analytics platform aimed at business teams rather than data scientists. Founded in 2018 by computational-neuroscience PhDs Zohar Bronfman and Noam Brezis, Pecan combines automated machine learning with large language models - a category it calls Predictive GenAI - so analysts can describe a business problem in plain language and get production-ready predictive models for churn, customer lifetime value, demand forecasting, lead scoring and campaign ROI. The company has raised roughly $127M, including a $66M Series C in 2022 led by Insight Partners with GV and GGV Capital, and in 2025 launched DemandForecast.ai for supply-chain forecasting.
Zohar Bronfman
Zohar Bronfman is the co-founder and CEO of Pecan AI, a predictive analytics company he launched two months after finishing not one but two PhDs at Tel Aviv University - one in computational cognitive neuroscience, another in the history and philosophy of science. He and his co-founder built Pecan's first prototype for a data-science competition they missed the deadline for, then turned it into a low-code platform that lets business teams build predictive models without hiring data scientists. Pecan has raised roughly $127 million from Insight Partners, GV, and Dell, and its work now touches revenue at Fortune 500 companies. Bronfman is a vocal skeptic of AI hype, arguing that predictive AI and generative AI are more useful married than either is alone.