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Elastics

AI driven prediction market trading terminal

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About Elastics

Elastics is an AI-native operating system for prediction markets, allowing users to trade using natural language. It connects to platforms like Polymarket and Kalshi, enabling automated market scanning, data analysis, order execution, and portfolio management.

Its core value proposition is lowering the barrier to quantitative trading. Users express their views in plain language, and AI agents translate those views into structured positions while continuously monitoring thousands of markets and adjusting strategies based on real-time confidence and liquidity shifts.

The pain points it addresses include the complexity of manual multi-platform trading, information overload from fragmented news sources, and the difficulty for retail traders to execute sophisticated strategies. By centralizing data and automating execution, Elastics aims to make prediction market participation more accessible and efficient.

Regarding recent developments (March to September 2026), Elastics has been actively building its community and onboarding early users. It hosted a live event in Zurich in February 2026 on "The Price of Truth: Why Markets Beat Polls," featuring prominent speakers. In May 2026, the project opened whitelist applications for early access to its platform, signaling progress toward a broader launch. The platform remains in closed beta, with ongoing development focused on expanding market integrations and improving AI agent capabilities.

Notably, the broader prediction market industry faces regulatory uncertainty, as authorities in several jurisdictions debate whether event contracts should be classified as financial derivatives, gambling products, or alternative investments. This regulatory ambiguity poses a potential challenge to Elastics' long-term growth.

Updated: Sep 8, 2026

In the past six months, Elastics raised $2M in pre-seed funding led by Frst, with participation from ElevenLabs co-founders, XBTO partners, an a16z scout, and RedStone co-founders. The funds will be used for team expansion, focusing on hiring AI and quantitative talent.

Official future roadmap: continue improving the AI prediction market operating system, deepen natural language trading and AI agent capabilities, and plan to expand beyond prediction markets into broader AI trading infrastructure for automated research, execution, and portfolio management.

Updated: Sep 8, 2026

Founder & CEO Szymon Pawica, an NYU Stern graduate and former Goldman Sachs professional.

Co-Founder & Chief Quantitative Officer Mateusz Brodowicz, mathematician with an MSc from University of Houston, previously built quant models for a prediction-markets fund.

Co-Founder & CTO Wojciech Kulma, MSc in Statistics from University of Vienna, formerly at CERN, quant trader at Raiffeisen Centrobank, and quantitative financial engineer at UNIQA.

Key executive Jan Czarnocki serves as Chief of Staff & General Counsel.

Updated: Sep 5, 2026