Oddpool
ActiveInstitutional data layer for prediction markets
This company has previously operated under “Oddpool”, “Benchspan”. A rename frequently marks a pivot in positioning or product — useful raw material for variant ideas.
About
Oddpool is a platform that helps quant funds and trading desks harness the power of prediction markets. We make it easy to access, search, and analyze every venue from one place. Avi and Ritesh have been roommates since freshman year at Georgia Tech. Avi has a Master's in ML and saved Microsoft $6M/year by building a more accurate model on half the hardware. Ritesh has a Master's in Distributed Systems and made buy-side trading systems at Bloomberg 40% faster. We started trading prediction markets ourselves but couldn't backtest our strategies because the tooling for this emerging asset class didn't exist. The deeper we went, the more we saw that fragmentation between prediction markets and lack of clean data was going to be a big problem. We launched a prosumer tier and grew to several thousand dollars in MRR within months. Now we're bringing it to institutions, building tooling with the rigor and depth serious desks demand. They're the fastest growing asset class in finance, and CFTC applications for new exchanges keep climbing. Each new venue makes the market bigger, the fragmentation worse, and the unified data layer more valuable. It doesn't exist yet. We're building it.
Founders · 2
Founder, CEO @ Oddpool | Prev. ML Researcher @ Microsoft Trained the prompt injection model at Microsoft which secures 20 billion requests / year CS @ Georgia Tech
Founder, CTO @ Oddpool | Prev. SWE @ Bloomberg Architected systems processing 100K+ TPS across trading infrastructure CS @ Georgia Tech
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