New York’s Daloopa Raises $47 Million to Fix the Trust Problem in AI Finance

Daloopa says the round will fund engineering, product and go-to-market hires as investment firms push AI from experiments into production research, where unreliable data is the bottleneck.

Daloopa, a New York financial data infrastructure company, has raised $47 million in Series C funding. Brighton Park Capital led the round. Squarepoint Capital, Touring Capital and Nexus Venture Partners also took part. The funding will go toward hiring across engineering, product and go-to-market.

The company provides structured, source-linked financial data that investment firms use to feed AI systems. Each data point traces back to its original source.

AI models in finance are only as good as the data underneath them. In valuations, earnings analysis and portfolio modeling, even small data errors can shift outputs. A misaligned fiscal calendar or a metric defined differently across sources can change a result.

Most general AI tools pull from unstandardized web data. They inherit those errors. Analysts have long filled the gap by pulling numbers from filings by hand and checking each one.

Daloopa replaces both with one structured dataset. It covers more than 5,500 public companies globally. The company says it delivers up to ten times more data points per company than rival providers.

“We’re seeing firms move from early experimentation toward deploying AI in real investment workflows, and that changes the requirements entirely,” said Daloopa CEO Thomas Li. He added that models must now be accurate and fully traceable, not just produce answers.

The round caps a busy year. Daloopa added MCP connectors with ChatGPT, Claude, Perplexity and Rogo. That puts its data inside the tools analysts already use.

The company also published a benchmark study. It showed AI agent accuracy in financial retrieval rose by up to 71 percentage points when models used structured, auditable data instead of web inputs.

Daloopa has also expanded delivery. It now offers API access and cloud-native delivery through Snowflake, Databricks and AWS S3. A new Partner API lets select developers build AI workflows on top of its data.

Brighton Park partner Tim Drager said Daloopa is solving one of the most consequential data problems in financial services. He said the firms that win the AI race will be the ones with the strongest data foundations.

Drager noted that more than 160 financial institutions already use the platform. He said that points to both product quality and how urgent the problem is. Brighton Park was advised on the deal by Phil Hadley, the former CEO and chairman of FactSet.

Daloopa says it doubled revenue over the past year. A growing share of customers now use the platform to run AI in production.

The bottleneck in AI finance is no longer model quality. It is the data layer underneath. Whether structured, source-linked data becomes the standard, or one of several approaches, will shape who wins the next phase.

This article is based on a Daloopa press release dated May 28, 2026. Quotes from Thomas Li and Tim Drager are attributed directly to the release. This is for informational purposes only.

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