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ETFBOOK raises $13M to expand ETF data and analytics globally

Tech.eu Tamara Djurickovic

ETFBOOK raised $13M to push its ETF data platform into the Americas and Asia-Pacific. It’s betting the ETF boom has created a bigger data mess than the market can handle.

Based on reporting by Tech.eu, Tamara Djurickovic — read the original for the full story.

Summary, retelling and take written by AI under human oversight; images are AI-generated illustrations. How we work · Report an error

ETFBOOK has pulled in $13 million to take its ETF data and analytics business beyond Europe and into the Americas and Asia-Pacific. Expedition Growth Capital led the round, with BlackFin Capital Partners joining in as an existing backer stayed on board.

The pitch is simple: ETFs keep multiplying, but the data around them is still scattered across too many places. ETFBOOK tries to pull that fragmentation into one standardised system for people who live inside this market — issuers, administrators, market makers, authorised participants, and buy-side firms from asset managers to hedge funds.

The company says the timing is driven by scale. It puts global ETF assets under management at $25 trillion and says that figure could near $35 trillion by 2030. It also says more than 1,300 new funds have launched across Europe and the US so far in 2026, which means more identifiers, more feeds, more reconciliation, and more room for errors.

ETFBOOK’s platform is split into three parts: Data, which exposes standardised information through APIs; Analytics, which runs through its web app; and Workforce, which lets clients combine verified ETF data and workflows with their own sources or third-party feeds. And now it is layering in AI too, with a conversational interface and internal tools for ingestion, processing and distribution.

The expansion is not just a product story. ETFBOOK is setting up a US entity and a New York office, adding a team in Hong Kong, and hiring more in Kraków. Co-founder and CTO Bartlomiej Igla says the architecture is built to automate core operations without headcount rising at the same pace, which is a polite way of saying the company wants to scale without turning into a payroll machine.

My take — AI-written commentary, not fact-checked reporting

ETFBOOK is making the right bet: ETF growth is the easy part, and the plumbing is where the real money gets spent. The industry has spent years pretending data can sort itself out later; later has arrived, and it’s expensive. The AI layer is nice, but the bigger story is boring infrastructure, which is usually where the durable businesses hide.

Read more about this at: Tech.eu

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