Kapnova was built by an operator who spent a decade inside consumer brands and a quant who built models at one of the world's most sophisticated hedge funds. We met at MIT.
After 10+ years working directly with 400+ CMOs at consumer brands, I kept watching the same problem play out: smart marketing teams making $5M decisions with three-week-old data and an agency deck built on gut feel.
The models that could answer these questions existed. They just lived inside $200K consulting engagements and hedge fund seats priced in the millions. Kapnova is what happens when you give a marketing team the same tool a quant analyst uses — without the PhD requirement.
Former quant model creator at Point72 — one of the world's most sophisticated quantitative hedge funds, managing $45B+ in assets. Built the same class of models that institutional investors use to predict price movements, factor in sentiment, and quantify uncertainty.
Previously at Scale AI, working on the data infrastructure that trains the world's most capable AI systems. Brings the same rigor to consumer demand modeling that Wall Street applies to financial markets.
Hedge funds beat the market with three ingredients: financial data, sentiment signals, and simulation. Every consumer company has the same three. They just don't have the quant engine.
Kapnova is what you get when an operator who's worked with 400+ CMOs partners with a quant who built the models at Point72 and Scale AI. The asset class changed. The math didn't.
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