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Oddpool

Institutional infrastructure for prediction markets

Oddpool is a platform that helps quant funds and trading desks harness the power of prediction markets. 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.
Former Founders
Ritesh Malpani
Ritesh Malpani
Founder/CEO
Founder, CTO @ Oddpool | Prev. SWE @ Bloomberg Architected systems processing 100K+ TPS across trading infrastructure CS @ Georgia Tech
Avi Arora
Avi Arora
Founder
Founder, CEO @ Oddpool | Prev. ML Researcher @ Microsoft Trained the prompt injection model at Microsoft which secures 20 billion requests / year CS @ Georgia Tech
Company Launches
Oddpool: The institutional data layer for prediction markets
See original launch post

Hey everyone 👋

We're Avi and Ritesh — co-founders of Oddpool.

TL;DR

Oddpool helps quant and institutional desks harness the power of prediction markets. We make it easy to access, search, and analyze every venue from one place with the depth and history serious desks need.

Ask:  If you're a quant fund, prop shop, market maker, or hedge fund using prediction markets data (or thinking about it), we'd love to talk. Reach us at founders@oddpool.com

https://youtu.be/dSG7gVU1M7w

The Problem

Data is the lifeblood of modern finance. Every desk, every strategy, every edge starts with it.

Yet prediction markets, one of the fastest-growing asset classes in the world, still lack the tooling that makes every other asset class easy for desks to adopt, leaving anyone trying to use this data stuck with three major pains:

  1. Fragmentation across venues with no shared symbology
  2. No tick-level history to backtest against
  3. Weeks spent normalizing data instead of generating signals

These compound the moment real money tries to enter, leaving a glaring problem to be solved.

Our Solution

Oddpool provides a frictionless experience to start pulling, backtesting, and building on prediction market data from day one.

We focus on two core capabilities:

  1. Universal symbology that maps every market across every venue to one canonical identifier.

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  2. Tick-level history with full orderbook depth, every trade, and every delta, ready to backtest against

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Our mission is to drive the institutional adoption of prediction markets, so the world's most accurate signals can finally be used by the desks that move it.

👉 If you resonate, please reach out to us here: founders@oddpool.com

❤️ Check out our website: https://www.oddpool.com

Oddpool
Founded:2026
Batch:Spring 2026
Team Size:2
Status:
Inactive
Location:San Francisco
Primary Partner:David Lieb