Databento Raises $100 Million Series C at $1.1 Billion Valuation to Power Market Data for Quants and AI Labs

Databento, a Salt Lake City company that sells real-time and historical market data through a single API, has raised $100 million in a Series C funding round led by Fifth Down Capital. The round, announced on November 12, 2026, values the company at $1.1 billion, making Databento the newest fintech unicorn.

The company serves quantitative trading firms, brokerages, asset managers, and AI labs. Its product covers futures, options, equities, and indices — the core asset classes that systematic traders and financial researchers need — delivered through one API rather than the tangle of separate exchange feeds, vendor contracts, and data formats that the industry has historically relied on.

The Market Data Problem

Market data is one of the least glamorous and most lucrative corners of financial technology. Every trading firm, bank, and asset manager needs fast, accurate prices and order-book data. Historically, getting that data has meant negotiating separate agreements with dozens of exchanges, stitching together incompatible formats, and paying for infrastructure to normalize and store it all. The largest incumbents in the space — exchanges themselves and legacy data vendors — built empires on that complexity.

Databento's bet is that the complexity is the opportunity. By offering real-time and historical data across futures, options, equities, and indices through one API, the company lets a quant fund or a brokerage access the data it needs without building and maintaining its own data plumbing. For a small or mid-sized firm, that can be the difference between competing and not competing: the cost of assembling exchange data in-house has traditionally been a moat for the biggest players.

Why AI Labs Are Now Customers

The most telling detail in Databento's customer list is the presence of AI labs alongside the traditional quant firms, brokerages, and asset managers. Financial markets generate some of the richest time-series data in the world, and AI researchers want it — to train models that forecast prices, detect anomalies, manage risk, and automate trading decisions.

That demand changes the market data business in two ways. First, it expands the customer base beyond the relatively fixed population of trading firms to include a fast-growing set of AI companies that need financial data as training and evaluation material. Second, it raises the bar on what "good" data means: AI labs need clean, well-documented historical datasets at scale, not just a fast live feed. A company that can serve both the low-latency needs of a quant trader and the bulk historical needs of an AI researcher is serving two markets with one product.

What a $1.1 Billion Valuation Signals

A $100 million Series C at a $1.1 billion valuation is a strong signal in a funding market that has become more selective about late-stage rounds. Investors at Series C are typically looking for companies with proven revenue, repeatable growth, and a credible path to profitability or a large exit. Databento's valuation suggests Fifth Down Capital and the round's other investors — whose identities were not disclosed in the cited coverage — see a business with durable, recurring revenue and a defensible position.

The valuation also reflects the economics of market data itself. Data businesses tend to have high gross margins, sticky customers, and pricing power once they become embedded in a client's workflows. A trading firm that builds its strategies on a particular data feed does not switch vendors lightly. That stickiness is exactly what growth investors pay for.

Why It Matters for Founders and Investors

For founders, Databento is a case study in finding value in unglamorous infrastructure. Market data is not a consumer product and it is not a flashy AI application. It is plumbing — and plumbing that every participant in a multi-trillion-dollar market needs is a very good business. The lesson is that the best B2B opportunities often sit in the layers that an industry takes for granted, where incumbents are expensive and fragmented, and where a modern API can collapse complexity into a single product.

For investors, the round highlights a convergence worth watching: financial data and AI. As AI labs become meaningful buyers of market data, the market data business stops being a purely financial-services story and becomes part of the AI infrastructure story as well. Companies that sit at that intersection — selling the data that AI systems need to understand the world — may command valuations that reflect both markets.

It is also worth noting the geography. Databento is based in Salt Lake City, not New York or San Francisco. A $1.1 billion valuation for a Utah fintech company is a reminder that the map of venture-backed fintech has widened well beyond the traditional coastal hubs, and that talent and customers in financial infrastructure are increasingly distributed.

Databento's Series C puts it in a strong position to expand its data coverage, deepen its relationships with AI labs, and compete more aggressively with legacy vendors. For a company selling the raw material of modern finance, the timing — as AI transforms how that raw material is used — could hardly be better.

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