Daloopa

Daloopa is an AI-powered platform that automates financial data extraction and modeling for investment professionals.

Using natural language processing and machine learning, it pulls line-item level data from sources such as 10-Ks, 10-Qs, investor presentations, and earnings call transcripts, then feeds that structured data directly into customizable Excel financial models.

The platform covers thousands of public companies globally with many years of history and far more data points per company than typical providers, and it emphasizes transparency by hyperlinking each extracted number back to its original source document so analysts can audit figures quickly.

Daloopa positions itself as a faster, more granular alternative to traditional fundamental data vendors, with a stated accuracy rate exceeding ninety-nine percent across millions of data points.

Its main users are equity analysts, hedge funds, private equity firms, mutual funds, and investment and corporate banks who build financial models and conduct due diligence research, and who want to spend less time on tedious data entry and more on analysis.

The product functions as a financial modeling copilot, refreshing model inputs automatically as new filings arrive. Pros include high accuracy, deep historical coverage, source-linked transparency, and significant time savings on model building.

Cons include its specialized focus that mainly benefits finance professionals and enterprise-oriented pricing that may not suit individual hobbyist investors. Pricing changes often, so check the official site for current plans.

Daloopa's core capabilities include AI extraction of line-item data from filings and transcripts, Direct integration into customizable Excel models, Source hyperlinks for auditing every data point, Coverage of thousands of public companies with deep history and Financial modeling copilot that auto-updates inputs.

AI extraction of line-item data from filings and transcripts is built in, Direct integration into customizable Excel models is built in, Source hyperlinks for auditing every data point is built in, Coverage of thousands of public companies with deep history is built in, so you get a rounded toolkit rather than a single trick.

Each feature is designed to take the manual effort out of the task and help you reach a usable result faster, which is what makes Daloopa worth a place on your shortlist.

On the plus side, users consistently highlight Very high stated accuracy across data points, Source-linked transparency for easy auditing and Saves substantial time on financial modeling as the reasons they keep using Daloopa.

It isn't perfect, though — Specialized focus mainly benefits finance professionals and Enterprise pricing not suited to casual investors are the trade-offs people most often mention, so weigh those against your own priorities before you commit.

As with any AI tool, the output still benefits from a quick human review, but Daloopa gets you most of the way there with far less effort. Daloopa runs on a paid pricing model, aimed at users who want the full feature set without free-tier limits.

AI-tool pricing changes often, so always check the current plans, seats and add-ons on the official site for the latest details before you buy. Who is Daloopa for? It's best suited for ai financial data extraction for analysts and models.

Whether you're a beginner trying this kind of AI tool for the first time or a professional who'll use it every day, it's a credible option to consider.

If you're still deciding, compare Daloopa against the alternatives and the head-to-head comparisons linked below — looking at features, pricing and real user ratings side by side is the fastest way to find the right fit for your workflow and budget.