Technology 4 min read By Arthur Ellington
Public launches AI trading agents for prediction markets in Kalshi partnership
New York investing app Public has partnered with prediction market Kalshi to let users deploy AI agents that trade real-world events or use event data as portfolio signals. The product converts user strategies into fixed rules that must be approved before execution.
New York-based investing app Public has launched a product that allows users to deploy AI agents to trade prediction markets directly or use event data as a signal for broader portfolios, in partnership with prediction market Kalshi. The move combines two of the year's most prominent technology narratives: agentic commerce and prediction markets.
Under the arrangement, Kalshi will provide the event contracts and handle the trades, while giving Public users access to its markets through Public's platform. Public users decide on a strategy and instruct the platform's AI what they want it to do. The agent then turns that request into fixed rules, which can range from sending an alert when odds change to automatically buying or selling an investment.
The product is aimed at investors who want to use prediction-market data to track events that could affect their portfolios, such as Federal Reserve rate decisions, regulatory approvals or company metrics like quarterly shipments. Investors must approve the rules before the agent can act.
«AI agents can do work for you, and in investing, that means they can monitor markets when you're not looking at a screen. They can execute strategies that you might have not been physically even able to execute yourself,» Leif Abraham, Public's cofounder and co-CEO, told Fortune.
The launch fits into Public's effort to position itself as an «agentic brokerage.» Founded in 2019, the company is backed by major venture firms including Accel and Tiger Global, and manages billions in assets across millions of users. Public is focused on active, self-directed investors, rather than people who rely on wealth managers to oversee their portfolios.
The strategy is a bid to distinguish the platform from discount brokerages that compete largely on price. Its software is intended to handle more of the routine work involved in managing a portfolio, rather than serving mainly as a place to execute trades.
To prevent AI agents from making unintended trades, Public's chatbot converts each investor request into a visual plan. The user must review and approve the strategy before it runs as fixed code. Once activated, the agent cannot make trades outside the customer's chosen conditions.
The Public-Kalshi tie-up comes at a time when agentic finance has been gaining mainstream momentum, particularly in payments. Major companies including Visa, Mastercard and Stripe have built tools that let AI agents shop and pay on users' behalf.
Prediction markets have also surged in the US since the 2024 presidential election. Platforms such as Kalshi and Polymarket, where users trade on outcomes in politics, sports and culture, have reached multibillion-dollar valuations, while some contracts have generated billions in trading volume.
For Public, the partnership represents a bet that investors will increasingly want automated tools to monitor event-driven risks and opportunities. By integrating Kalshi's markets, the platform gives users a way to act on prediction data without leaving its app, while keeping a human approval step in the loop.
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