Valence
Product & Competitive Intelligence
Unified prediction markets terminal aggregating liquidity across Kalshi, Polymarket, and Crypto.com.
Company Overview
Valence is a unified prediction markets trading terminal and aggregator that provides a single interface, smart order routing, unified order books, and developer APIs to trade across all major prediction market exchanges (Kalshi, Polymarket, Crypto.com, etc.), solving liquidity fragmentation and operational complexity for retail, professional, and institutional traders.
Competitive Advantage & Moat
Product Roadmap & Public Announcements
Valence has publicly announced unified order book functionality across Kalshi, Polymarket, and Crypto.com; developer APIs for systematic and algorithmic trading; live P&L and risk monitoring dashboards; and smart routing for best-price execution. Over 1B contracts have been traded through the platform with $200M+ monthly volume. They have signaled expansion toward becoming a full "trading superapp" for prediction markets, with plans for deeper institutional integrations and strategy marketplace features.
Signals & Private Analysis
Behind the scenes, Valence appears to be investing heavily in AI-driven trading assistance and agent-based trading infrastructure, evidenced by hiring patterns in ML engineering and quantitative research. GitHub and developer community activity suggests work on strategy subscription models and vault custody integrations. Conference appearances and partnership signals point toward institutional-grade compliance tooling and potential white-label aggregation APIs for brokerages. There are strong indicators of upcoming AI-powered arbitrage discovery, whale tracking analytics, and copy-trading features designed to attract professional trading teams migrating from fragmented manual workflows.
Product Roadmap Priorities
AI-powered smart order routing engine that automatically identifies the best prices and arbitrage opportunities across fragmented prediction market exchanges, executing trades at optimal speed and cost for every user.
Valence's AI instantly finds you the best price across every prediction market exchange so you never overpay on a trade.
It's like having a travel agent who instantly checks every airline, finds the cheapest flight, and books it for you before the price changes—except for prediction market trades happening in milliseconds.
Machine learning models that aggregate and synthesize data from multiple prediction markets, news feeds, and social signals to generate real-time probabilistic forecasts and actionable trading signals for users.
Valence uses AI to crunch data from every prediction market and news source to tell you which bets are most likely underpriced before the crowd catches on.
It's like having a sports analyst who watches every game, reads every stat sheet, and whispers in your ear which team the oddsmakers are underrating—except it does this across thousands of real-world events simultaneously.
A platform layer enabling users to deploy, manage, and monitor autonomous AI trading agents that execute customizable prediction market strategies across all connected venues without manual intervention.
Valence lets you set up AI trading bots that automatically buy and sell prediction market contracts across every exchange based on your chosen strategy—so you can trade while you sleep.
It's like setting up a fleet of self-driving cars that each know a different shortcut through the city—you pick your destinations and risk tolerance, and they handle all the driving across every road simultaneously.
Company Overview
Key Team Members
- Neo Wang, Co-Founder
- Daniel Kasabov-Nouvion, Co-Founder
- Arthur Zhou, Co-Founder
Founder Force Multiplier
All three founders are UT Austin Turing Scholars with elite quant finance backgrounds: Neo Wang interned at Citadel Securities, Cubist Systematic Strategies, and DRW; Arthur Zhou interned at Jane Street (International ETFs/Options desks) and Snowflake, and is a USAMO qualifier and USACO Platinum; Daniel Kasabov-Nouvion is a SW+HW engineer at Optiver with prior Citadel internship. This depth of quantitative trading infrastructure expertise is precisely matched to the problem of prediction market aggregation and execution.
Funding History
- 2025 | Product goes live, 7M contracts traded in September.
- 2026 | Accepted into Y Combinator Winter 2026 batch.
- 2026 | Surpassed 1B contracts traded and $200M+ monthly volume.
Competitors
- Direct Aggregators: pmxt (open-source SDK for unified trading across Polymarket, Kalshi, Limitless), Polynance (data aggregation and analytics), FORS (cross-platform analytics), PolyRouter (order routing).
- Single-Venue Platforms: Polymarket (largest crypto-native exchange), Kalshi (leading U.S.-regulated DCM), PredictIt (political markets).
- Adjacent Competitors: Crypto.com (blended traditional/digital asset trading), FanDuel Predicts, DraftKings, Fanatics Markets.
