Oddpool

We’re building the agentic trading desk for the new operating system of markets. I used to be a trader at Tower Research and Goldman Sachs, and I’m building Scalar Field with my co-founder Ramakant, who led engineering teams at Microsoft. We’ve both spent our careers at the intersection of finance and technology, and we’re using that experience to rethink how markets are analyzed, tested, and traded in the age of agents. Scalar Field is built around a simple belief: over the next few years, agen

shared extracted concept terms: market, system; shared product terms: trad, desk, market, year; shared affiliation: Y Combinator

Axis is building an AI Native Trading System, allowing a trader to deploy models that monitor and analyze relevant markets and strategies. We've chosen commodities as our first market. Commodities make up a third of global goods exports, and physical commodities traders decide the movement and storage of metals, agricultural products, and energy across the globe. They trade in public markets and bilateral OTC agreements. Engaging in these markets is complexing, covering derivatives positioning,

shared extracted concept terms: trad, system; shared product terms: trad, system, model, analyze; same category: AI infrastructure; shared affiliation: Y Combinator

ValCtrl is building the intelligent prediction market: users type any public, resolvable belief about the future, ValCtrl structures it, prices it, and lets them trade it. Today’s prediction markets only support pre-listed questions, leaving user beliefs fragmented across venues, contract wording, rules, and proxy markets. ValCtrl’s world model maps typed beliefs to relevant market signals, evaluates basis risk, prices the claim, and moves toward model-priced liquidity where ValCtrl can take the

shared extracted concept terms: prediction, market; shared product terms: prediction, market, venue, model; same category: AI infrastructure; shared affiliation: Y Combinator

Dome makes it easy to build on prediction markets like Polymarket and Kalshi. We provide the developer infrastructure to access, analyze, and build on prediction markets. With our unified API, developers can access live and historical data, including granular datasets not available natively, across multiple platforms at once. Dome makes it simple to trade, embed market data into products, and deploy strategies across multiple platforms through one interface.

shared extracted concepts: prediction markets; shared product terms: easy, prediction, market, acces; shared affiliation: Y Combinator

Better Opinions is a prediction market of India which allows users to trade their opinion on everyday topics. For example, If you think India Covid cases will decrease by 10% this week, you can trade this insight and win money if correct. Our aim is to make the app inclusive for all. The stock market unfortunately can be very technical and opaque and therefore isn’t always accessible for all. However, when we start allowing trading in categories such as cricket, politics and entertainment, not o

shared extracted concept terms: market; shared product terms: prediction, market, start, trad; same category: AI infrastructure; shared affiliation: Y Combinator

Saphira is the easiest way for hardware products to get safety certified and reach market faster, such as industrial robots and heavy machinery.

shared extracted concept terms: market; shared product terms: hardware, market, faster; same category: AI infrastructure; shared affiliation: Y Combinator