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.