About
Daloopa uses AI to extract financial data from SEC filings, investor presentations, and press releases. Raised $56M+ total with $18M round in 2024 from Morgan Stanley, Pavilion Capital. Covers 3,500+ public companies with 13 years history. ~300 employees serving hedge funds, PE firms, and investment banks. Integrated with Claude for Financial Services.
Key Facts
- [1]Funding: Total funding: $40M. Last round: May 2024. Stage: Early Stage.
- [2]Employees: Employee count: 51-200.
- [3]Website: Official website: daloopa.com.
- [4]AI Technology: Core AI/ML technologies: Data Platform.
- [5]Region: Region: Americas (United States).
Founder
Alap Shah
Co-founder & CEO
AI Technology
Data Platform
Data aggregation and enrichment platforms with minimal ML
Classification
Market Segments
Tech Stack Layers
Details
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Frequently Asked Questions
What is Daloopa?
Daloopa uses AI to extract financial data from SEC filings, investor presentations, and press releases. Raised $56M+ total with $18M round in 2024 from Morgan Stanley, Pavilion Capital. Covers 3,500+ public companies with 13 years history. ~300 employees serving hedge funds, PE firms, and investment banks. Integrated with Claude for Financial Services. Daloopa is classified in the Research & Data segment at the Data layer of the financial AI stack.
Who founded Daloopa?
Daloopa was founded by Alap Shah (Co-founder & CEO).
How much funding has Daloopa raised?
Daloopa has raised $40M in total funding, placing the company at the Early Stage stage. The most recent round closed in May 2024. Among 58 funded Research & Data companies, Daloopa ranks #35 by total capital raised. (Source: AIFI Map directory.)
What AI technology does Daloopa use?
Daloopa primarily leverages Data Platform technology. Data aggregation and enrichment platforms with minimal ML. Within the Research & Data segment, 29 companies use this technology.
What market segment does Daloopa operate in?
Daloopa operates in the Research & Data market segment. AI research and data companies provide the intelligence layer of the financial ecosystem — processing vast quantities of structured and unstructured data into actionable insights for investors, analysts, and financial institutions.
Where is Daloopa headquartered?
Daloopa is headquartered in New York, United States. The company operates in the Americas region. The team consists of 51-200 employees. United States is home to 324 financial AI companies tracked by AIFI Map.
Who are Daloopa's competitors?
Companies similar to Daloopa in the Research & Data space include Ocrolus ($142M raised), Tegus ($112M raised), AlphaSense ($1.6B raised), Sentieo (Now AlphaSense) ($69M raised), Uplinq ($18M raised). These companies operate in related areas of financial AI: Ocrolus focuses on ai document automation for lending decisions. Tegus focuses on ai-generated investment research summaries. AlphaSense focuses on ai-powered market and search intelligence. (Based on AIFI Map classification data.)
What products does Daloopa offer?
Daloopa builds data-layer solutions for the financial services industry. The company's core offering: AI-driven financial data extraction. The platform is powered by Data Platform technology.