Predictive Market Infrastructure Startup River Markets Completes $8.5 Million Seed Round
River Markets announced on Tuesday that it completed an $8.5 million seed round of financing in July, led by Haun Ventures, with participation from Y Combinator and Coinbase Ventures, along with other investors including Qube Research Technologies and angel investors from Google, Nvidia, Novig, JPMorgan, and Citadel. The founders declined to disclose the valuation for this round.
The company's founders stated that to meet the institutional demand for predictive markets on a large scale, technology is needed that allows institutions to trade across platforms and handle larger orders. Since its launch in May, River Markets has been providing institutions with relevant software, data connections, and risk management tools, with algorithms designed to reduce the volatility caused by large trades on market prices.
The company expects its platform's annualized trading volume to exceed hundreds of millions of dollars by the end of this year.
River Markets was co-founded by CEO Oscar Levy and CTO Antonin Parrot, providing professional traders with a unified interface to access and route orders across multiple predictive markets (such as Kalshi and Polymarket).
The funds will primarily be used for hiring engineers, enhancing the speed and security of the trading system, expanding the sales and operations team, and developing tools to support large-scale capital deployment and cross-platform risk management.
Market mechanisms indicate that institutional funds are accelerating into predictive markets, driving up the demand for dedicated trading infrastructure, with funds flowing towards providers of tools that can address cross-platform liquidity and large order impact, putting pressure on platforms dominated by retail interfaces.
The founding team previously generated seven-figure trading profits by building trading tools for Kalshi and Polymarket.
Source: Public Information
ABAB AI Insight
River Markets targets the phase of migration from retail to institutional predictive markets, providing unified access, data, and risk control layers to address the issues that existing consumer-grade interfaces cannot support professional workflows.
The capital path is reflected in gathering crypto-native funds, traditional trading institutions, and tech company angels, motivated by the need to quickly establish institutional-level infrastructure and seize the window of increased institutional trading volume on platforms like Kalshi.
This is similar to cases in traditional finance where order routing and execution algorithm companies receive funding during the rise of emerging asset classes, currently in the early infrastructure competition phase for institutionalization of predictive markets.
Essentially, this is a restructuring of the industry chain, where the mechanism indicates that as trading scales up, cross-platform execution and impact cost control become key thresholds for institutional entry.
ABAB News · Cognitive Law
Institutional entry requires dedicated execution layers
Cross-platform liquidity is a prerequisite for scaling
Predictive markets are replicating the path of traditional trading infrastructure