Daloopa closes USD 47M Series C for financial data layer

Daloopa, the New York-based provider of fundamentals data for institutional investors, has closed a USD 47M Series C, according to a press release covered by The AI Insider. The round positions the company as the structured-data layer underneath a growing list of AI research tools used on the buy side and sell side.

Daloopa's core product is a database of company fundamentals reconstructed from filings, transcripts, and investor presentations, with each datapoint tagged back to its source document. The pitch to hedge funds and sell-side analysts has always been auditability: a number in a model that traces back to a specific line on a specific 10-Q is a number a research analyst can defend on an IC memo. That auditability is the angle the company is now extending to AI workflows.

The MCP integrations are the headline product story. Model Context Protocol, the open standard Anthropic introduced in late 2024, lets an LLM client call into a structured data source as a tool rather than ingesting it as raw text. For a Claude or ChatGPT user asking for, say, segment revenue trends at a covered name, an MCP connector means the model pulls the number from Daloopa's tagged database rather than guessing from a scraped transcript. The integrations with Perplexity and Rogo, the latter an AI workflow tool built specifically for finance, extend the same plumbing to research-oriented surfaces.

The Snowflake, Databricks, and AWS S3 delivery options matter for a different reason. Quant teams and multi-strategy funds that already run their feature stores in those warehouses can now pipe Daloopa fundamentals into existing pipelines without bespoke ingestion work. That is the buy-side data plumbing question, less glamorous than the ChatGPT integration but probably the larger commercial wedge.

The Partner API is the most open-ended of the three. Letting third-party developers build on Daloopa data turns the product from a destination into infrastructure. Whether that produces meaningful third-party tooling depends on pricing and on how aggressively competing vendors (FactSet, S&P Capital IQ, Visible Alpha) respond with their own developer programs.

Daloopa did not disclose the lead investor in the public summary covered by The AI Insider, nor a post-money valuation. The next data point worth watching is whether subsequent disclosures put the valuation in line with the broader fintech-AI Series C cohort, where pricing has stayed firm through 2026 so far.