Warsaw based fintech startup Elastics has secured $2 million in an oversubscribed pre seed funding round to develop its AI powered infrastructure for quantitative trading. The company is working to bring advanced trading capabilities, traditionally reserved for institutional investors, into the hands of individual users through automation and intuitive interfaces.
Investor Backing and Early Momentum
The round was led by Frst, with participation from a group of angel investors across the AI and crypto sectors. These include operators and founders from leading technology companies, reflecting strong confidence in Elastics’ vision for the future of trading.
The newly raised capital will be used primarily to expand the company’s team and accelerate product development, with a particular focus on hiring talent in artificial intelligence and quantitative finance.
Making Advanced Trading Accessible
Elastics was founded by Szymon Pawica, a former Goldman Sachs professional, and Mateusz Brodowicz, a mathematician with experience in quantitative modelling. The team combines financial expertise with technical knowledge to build tools that simplify complex trading processes.
The company’s platform automates key aspects of trading, including research, execution, and portfolio management. By integrating these functions into a single system, Elastics aims to lower barriers to entry and enable more users to participate in sophisticated financial strategies.
An AI Native Trading System
At the core of Elastics’ offering is what it describes as an AI native operating system for prediction markets. This emerging segment of finance allows users to trade on the outcomes of future events, and it has gained increasing attention in recent years.
Elastics’ technology enables users to interact with markets through natural language. Instead of relying on traditional interfaces and manual inputs, users can define strategies conversationally, allowing the system to interpret and execute their intentions automatically.
This approach reflects a broader trend toward AI driven interfaces that simplify complex tasks.
Trading with Words
One of the platform’s key features is its “Trade with Words” capability, which allows users to describe positions in plain language. This eliminates the need for technical knowledge of trading systems and reduces the complexity of executing strategies.
By leveraging large language models, the platform acts as an intermediary between users and markets, translating natural language into actionable trading decisions. This innovation aims to make trading more intuitive and accessible.
Addressing a Growing Market
Interest in prediction markets has been rising, with platforms such as Polymarket and Kalshi gaining traction. Despite this growth, tools for individual traders remain limited, particularly when it comes to automation and advanced analytics.
Elastics is positioning itself to fill this gap by providing infrastructure that enables users to compete in increasingly automated markets.
Expanding Beyond Prediction Markets
While the company’s initial focus is on prediction markets, its long term vision extends to broader areas of trading. Elastics plans to continue building infrastructure for automated, AI driven trading across multiple asset classes.
The platform is currently in private beta, with early access available to selected users. Feedback from these users is expected to play a key role in refining the product and guiding future development.
Shaping the Future of Trading
As financial markets become more automated, the role of AI is expanding rapidly. Elastics is positioning itself at the forefront of this shift by creating tools that combine advanced technology with user friendly interfaces.
By making sophisticated trading capabilities more accessible, the company aims to democratise access to financial markets and enable a new generation of traders to operate with greater efficiency and insight.
