Warsaw-based startup Elastics has raised $2 million in an oversubscribed pre-seed funding round to develop its AI-powered infrastructure for quantitative trading. The round was led by Frst, with participation from angel investors across the AI and crypto sectors, including operators and founders from leading technology companies.
Founded by Szymon Pawica, a former Goldman Sachs professional, and Mateusz Brodowicz, a mathematician with experience in quantitative modelling, Elastics aims to make advanced trading tools more accessible to individual investors. Its system automates research, execution, and portfolio management, bringing capabilities typically associated with institutional environments to a broader user base.
The company is building what it describes as an AI-native operating system for prediction markets, a segment of finance that is gaining increasing attention. Its technology enables users to interact with markets through natural language, allowing strategies to be defined conversationally and executed automatically. The product is currently in private beta, with early access available to selected users.
Elastics is built around the idea that the future of trading will be conversational, with large language models acting as the primary interface between users and markets. Its “Trade with Words” feature allows users to describe positions in plain language, removing the need for traditional order forms or manual inputs.
Interest in prediction markets has grown alongside rising valuations of platforms such as Polymarket and Kalshi, reinforcing their emergence as a distinct asset class. However, tooling for individual traders remains limited, which Elastics aims to address.
Pawica noted that as AI-driven automation becomes more widespread in financial markets, manual trading is becoming increasingly challenging. He added that the company’s goal is to ensure access to automation is widely available rather than a limiting factor.
The newly raised capital will be used primarily to expand the team, with a focus on hiring AI and quantitative talent, and to further develop the product. Over time, Elastics plans to extend its offering beyond prediction markets and continue building infrastructure for automated, AI-driven trading.
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