Elastics Raises €1.7 M to Bring AI‑Powered Quant Tools to Retail Traders

Context Prediction markets are emerging as a distinct asset class, attracting billions in investment. Yet most participants lack the sophisticated tools that hedge funds use for quantitative trading – models, automation pipelines, and high‑speed data processing. Elastics aims to close that gap with an AI layer that translates natural‑language commands into executable trades.

Key Facts - The company raised €1.7 million in an oversubscribed round led by French venture firm Frst, with backing from eleven angels including ElevenLabs co‑founders and a16z scout. - Co‑founders Szymon Pawica (CEO) and Mateusz Brodowicz (CTO) will use the capital to expand AI and quant talent in Poland. - Elastics’ platform, currently in private beta, lets users describe a position in plain language; an AI agent then generates signals, manages execution, and handles portfolio adjustments without manual order tickets. - Pawica, a former Goldman Sachs quant, says the “quant edge at hedge funds comes down to people and infrastructure,” and believes AI can now replicate both, making them accessible to anyone. - Frst’s Pierre Entremont notes that prediction markets are in “very early innings” and that Elastics is building the AI layer the market needs.

What It Means If Elastics succeeds, retail traders could gain access to automation previously reserved for institutions, potentially reshaping how prediction‑market liquidity is supplied. The timing aligns with major platform valuations—Polymarket at €7.7 billion and Kalshi at €18.8 billion—highlighting strong market interest but limited tooling for everyday participants. As AI‑driven trading interfaces replace traditional order‑ticket screens, platforms that fail to adopt conversational AI may lose relevance. Watch for Elastics’ public launch and early‑access user outcomes as a barometer for AI’s penetration into retail quantitative trading.