HomeAI StartupsWarsaw-based Elastics raises €1.7 million to create AI agents for prediction markets

Warsaw-based Elastics raises €1.7 million to create AI agents for prediction markets

Elastics: Pioneering AI Solutions in Prediction Markets

Elastics, a dynamic startup based in Warsaw, has successfully raised €1.7 million in an oversubscribed pre-seed funding round. The capital infusion, which is equivalent to €2 million, will be strategically deployed to recruit AI and quantitative specialists in Poland, amplifying the company’s growth trajectory. This promising venture is poised to reshape the landscape of prediction markets through advanced AI agents.

Backed by Prominent Investors

The funding round was spearheaded by the esteemed French venture capital firm, Frst. The round also saw participation from notable angel investors, including Mati Staniszewski and Piotr Dabkowski, co-founders of ElevenLabs, Philippe Bekhazi, founder and CEO of RedStone, Bartosz Jakubowski, partner at Alven, Aleksandra Pedraszewska, founding partner of Vastpoint Ventures, and several other distinguished figures in the tech and finance sectors.

Innovative Approach to Prediction Markets

Pierre Entremont, co-founder and partner at Frst, expressed confidence in Elastics’ mission, stating, “Prediction markets are emerging as a new asset class in finance, and we believe the industry is still in its very early stages. Elastics is building the AI layer this market needs, and we are excited to support Szymon and Mateusz as they democratize access to quantitative trading tools that were previously out of reach for most participants.”

A Vision for Accessible AI in Trading

Founded in April 2025 by Szymon Pawica (CEO) and Mateusz Brodowicz (CTO), Elastics is developing a native AI operating system for prediction markets. This system is designed to empower traders with tools that enable the creation and automation of trading flows in plain language, from signal generation to live execution.

Szymon Pawica, drawing from his experience at Goldman Sachs, identified a significant competitive edge held by quant funds: access to skilled quant teams and advanced infrastructure. Upon transitioning to independent trading, Pawica recognized the stark contrast between institutional resources and those available to retail traders.

“The quantitative advantage of hedge funds depends on people and infrastructure. We believe that AI can now replicate most of this and make it accessible to everyone,” Pawica stated, underscoring his ambition to level the playing field.

Empowering Individual Traders

Elastics aims to provide individual traders with access to automated research, execution, and portfolio management tools typically reserved for institutional finance. The platform’s “Trade with Words” feature exemplifies its innovative approach, allowing users to describe trading positions in simple language for automatic execution, eliminating the need for traditional interfaces.

The company’s platform is currently in private beta, with interested users able to request early access to its AI, Agent Builder, and Elastics OS. The team at Elastics believes that conversational interfaces, powered by large language models (LLMs), represent the future of trading.

Shaping the Future of Trading

Pawica emphasizes the transformative potential of AI in financial markets, noting, “The old interface was designed for a world before AI. Any platform that hasn’t redesigned this from the ground up will have to do so. Any trader who isn’t using automation is already at a disadvantage. We want to make sure it’s a choice and not a compulsion.”

Elastics is strategically positioned to bridge the gap in prediction markets, ensuring that retail traders have the tools needed to compete effectively. As AI-driven automation becomes increasingly prevalent, Elastics’ innovative solutions could redefine how traders interact with financial markets.

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