big xyt, the independent financial markets data and analytics solutions provider, has raised €10 million in a funding round led by European growth investment firm Finch Capital. The investment marks the company’s first external funding after a decade of profitable, self-funded growth.
“Since launching the business in 2014, we’ve reinvested all the revenue and trust earned from our clients into product innovation, which has allowed us to expand steadily,” says big xyt’s CEO Robin Mess, in conversation with TradingTech Insight. “However, with our growing visibility, not just in Europe but globally, and with tier-one buy-side and sell-side clients, there was an expectation that we should grow faster than we could under a purely bootstrapped approach. A self-funded strategy is inherently restrictive in terms of available cash and investment opportunities, whether for product development or go-to-market strategies. Over the years, we spoke with industry stakeholders, many of whom expressed their willingness to support us. So the question wasn’t if we should take on funding, but rather when and under what terms. We decided on a partnership model where we retain control of governance and strategy—something we’ve carefully built over the years—by working with a minority stakeholder. This ensures that we remain independent, avoiding conflicts of interest, while enabling us to accelerate our growth. Ultimately, this funding is about scaling the success we’ve already achieved.”
big xyt’s platform systematically collects, validates, and stores vast amounts of market data, generating metrics to support quantitative research, trading algorithms, and decision-making tools. The funding will support big xyt’s global expansion, accelerate product development, and bolster its position as a specialist in AI-driven data analytics for financial institutions.
“The investment will be allocated across several areas, with our primary focus being on go-to-market initiatives,” says Mess. “We need to strengthen our presence within the industry—not only to grow our client base but also to enhance the services we provide. This will be built on our deep understanding of the platform, which is highly specialised across asset classes for tick data analytics, is capable of handling the largest datasets the industry works with, and supports a broad range of use cases. For example, we began with the Liquidity Cockpit, which analyses trends in fragmented markets, particularly in Europe. Since then, we’ve expanded to cover markets in Australia, Japan, and the US, where, despite the simplicity of consolidated tape data, there is still a need for regional support. We’ve also extended the platform’s capabilities, starting with post-trade T+1 analytics, moving into real-time analytics, and then into pre-trade analytics. The platform’s evolution has allowed us to provide increasingly valuable services to our clients. Now, we want to accelerate this progress by investing in marketing and sales, ensuring that our solutions reach more clients and provide them with even better support.”
The platform currently provides analytics for tick data across over 120 trading venues, covering equities, ETFs, FX, and listed derivatives such as futures and options. Data is available in both T+1 and on a real-time basis, catering to clients that include global investment banks, asset managers, exchanges, ETF issuers, and regulatory bodies.
It is widely used for pre-trade, intra-trade, and post-trade transaction cost analysis (TCA), execution analysis, and market structure analysis. By enabling users to process and analyse extensive datasets in near-real-time, the platform helps financial institutions optimise trading strategies, manage risks, and improve trading performance.
Looking ahead, AI is likely to play an increasing role, says Mess. “The industry is super excited about the possibilities offered by AI. Interestingly, while we’ve never heavily promoted it, we’ve actually been incorporating AI and machine learning into our solutions for several years. For example, we already use advanced models to forecast volumes, volume profiles, market-on-close activity, and similar use cases. These technologies are an integral part of our platform, and going forward, we plan to promote and highlight this capability more actively. Beyond these applications, we are also exploring the value of AI across broader workflows, identifying new ways to enhance efficiency and provide deeper insights. This will remain a key area of focus for us, and we believe it will bring significant benefits to the industry as we continue to innovate and expand our AI-driven offerings.”
Finch Capital’s involvement underscores a growing interest in advanced data solutions for financial markets, where demand for real-time, actionable analytics continues to rise. Aman Ghei, UK Partner at Finch Capital commented: “big xyt’s expertise in automating capital markets data is crucial as financial institutions face mounting competitive pressures and regulatory demands. This investment will support their strategic growth across Europe, the US and APAC, further strengthening their leadership in trading data analytics.”
He added: “big xyt’s team is uniquely positioned to dominate the market with their unmatched expertise in financial data analytics, robust tech innovation, and deep industry insights. Their strategic vision, combined with a proven track record in scaling complex, data-driven solutions, empowers them to stay ahead of evolving market demands. big xyt’s ability to deliver unparalleled data quality and actionable intelligence is precisely what today’s financial institutions need to gain a competitive edge, making them the most formidable team to lead this space.”
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