xyt

About xyt

big xyt, recently rebranded as xyt, operates as an independent provider of data and analytics solutions for financial markets. The company was established in 2014 by co-founders Robin Mess (CEO), Dirk Subjetzki (CFO), Wiesław Nosal (CTO), and Maciej Lach (Lead Software Engineer). For its first decade, the firm pursued a self-funded growth strategy, reinvesting revenues into product development before securing its first external funding in late 2024. This significant milestone involved a €10 million investment led by Finch Capital, aimed at accelerating global expansion into the US and APAC markets, enhancing product development, and fueling a hiring drive planned for 2025.

The core of the business is its Trading Data Intelligence Platform, which transforms complex, fragmented market data into actionable intelligence. The platform systematically collects, cleans, and validates vast amounts of referential and tick data from over 120 trading venues worldwide, covering equities, ETFs, FX, and listed derivatives. By processing billions of messages daily, it generates sophisticated metrics for pre-trade, intra-trade, and post-trade analysis. The company serves a diverse client base that includes global investment banks, brokers, asset managers, buy-side firms, market makers, exchanges, and regulators. Revenue is generated by providing these institutions with tools to gain insights into trading environments, liquidity, and market trends.

xyt offers a suite of products accessible via web-based interfaces and flexible APIs. Key offerings include the 'Liquidity Cockpit' for market-wide analysis and 'Open TCA' for detailed transaction cost analysis. A notable feature is its real-time analytics service, which provides a normalised dataset of European trades and benchmark prices with sub-second latency. The firm also provides white-label solutions through 'big xyt ecosystems', a joint venture with the Johannesburg Stock Exchange (JSE). This allows trading venues to offer sophisticated, branded analytics tools like 'Trade Explorer' directly to their customers, helping them understand market share, execution performance, and monetise their data assets.