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Elastics Raises $2 Million Pre-Seed for AI Agents for Prediction Markets

  • Writer: Karan Bhatia
    Karan Bhatia
  • 9 hours ago
  • 2 min read

Elastics, building AI agents for prediction markets, led by Szymon Pawica and Mateusz Brodowicz, has raised $2 million in an oversubscribed pre-seed round led by Frst with participation from angels from across the AI and crypto world, among them the co-founders of ElevenLabs, partners from XBTO, an a16z scout, and a co-founder of RedStone.


Elastics has secured funding to democratize quantitative trading by equipping individual traders with AI-powered tools for automated research, execution, and portfolio management across prediction markets and beyond.


Founder Szymon Pawica identified a clear gap after leaving Goldman Sachs, where institutional funds relied on advanced models and large teams, compared to the limited tools available to individual traders.


Together with Mateusz Brodowicz, Elastics is building an AI-native operating system for prediction markets, bringing institutional-grade quantitative capabilities to retail participants.


“The quantitative edge at hedge funds comes down to talent and infrastructure,” said Szymon Pawica. “AI now has the potential to replicate much of that and make it accessible more broadly.”


“Prediction markets are emerging as a new asset class, still in their early stages,” said Pierre Entremont of Frst. “Elastics is building the AI layer this market needs, expanding access to quantitative tools that were previously limited to institutional players.”


The timing is notable. Polymarket has reached a $9 billion valuation following a $2 billion investment from Intercontinental Exchange, while Kalshi is valued at $22 billion. Yet, many retail traders driving this growth still lack advanced tooling, creating the gap Elastics aims to fill.


Currently in private beta, the platform offers early access to its AI agent builder and operating system. Built around a conversational interface, Elastics allows users to execute trades using natural language through its “Trade with Words” feature, signaling a shift away from traditional order-based trading interfaces.


The $2M raise will primarily fund hiring AI and quantitative talent in Poland, a region viewed by the founders as a leading global talent hub for this domain.


For Szymon Pawica, the urgency is clear: as AI-driven automation expands across financial markets, the window for manual traders to compete on equal footing is rapidly narrowing.

Menlo Times is a global media platform covering AI, Deeptech, Venture Capital, Fintech, Robotics, and Security through news, analysis, and insights from founders and operators.
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