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Daloopa.ai provides comprehensive, auditable historical data on public companies for financial analysts and investors. It serves large shareholders and institutions, delivering high-quality data that can be easily integrated into existing financial models. The data is accessed via a subscription, and clients can request a demo before subscribing. The product works by compiling and organizing historical company information so analysts can quickly update their investment strategies and cover more companies each quarter. Daloopa differentiates itself through the reliability and auditable nature of its data, its focus on integration with standard financial models, and its adoption by many top shareholders of major public companies. The company's goal is to help investors make informed decisions faster by providing dependable historical data that supports robust investment analysis.
Industries
Data & Analytics
Fintech
Financial Services
Company Size
501-1,000
Company Stage
Series C
Total Funding
$101.4M
Headquarters
New York City, New York
Founded
2019
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Total Funding
$101.4M
Meets
Industry Average
Funded Over
5 Rounds
Industry standards
Hybrid Work Options
Company Equity
Daloopa expands financial data access with new MCP connector for Microsoft 365 Copilot integration, bringing trusted financial data directly into AI workflows. Enables investment firms to use LLMs with high-quality, AI-ready data for accurate analysis New York, NY - June 25, 2026 - Daloopa, the essential data infrastructure for AI and agentic workflows in financial services, today announced a new Model Context Protocol (MCP) connector with Microsoft 365 Copilot. The integration will significantly enhance investors' financial workflows by delivering structured, source-linked data, allowing Copilot users to move faster and focus on more meaningful work. It also enables Copilot users to create content in Microsoft Word, Excel, and PowerPoint using Daloopa data. This marks the latest milestone following Daloopa's recently announced connector with OpenAI's ChatGPT and its partnership with Anthropic's Claude for Financial Services. The demand for AI-ready data is rapidly growing in financial services. Accuracy and trust are paramount, making access to high-quality data more critical as investment firms build AI-powered workflows. Daloopa addresses this challenge by delivering accurate and comprehensive data infrastructure that powers financial agents and is trusted by some of the leading global AI companies. The platform covers 5,500+ public companies globally, with each datapoint hyperlinked to its original source for auditability. "Our focus is simple: fuel AI and agentic workflows with best-in-class financial data. We develop solutions that address our customers' most pressing needs. Using Microsoft 365 Copilot brings this data directly into the tools investors already rely on, so AI outputs are grounded in accurate, source-linked financials rather than web-scraped information," said Thomas Li, CEO of Daloopa. "As customers move more of their most business-critical workflows into Microsoft 365 Copilot, connecting it to the right data source becomes essential. The Daloopa integration helps extend Copilot into financial workflows by linking it to a system that analysts trust," said Chantrelle Nielsen, principal product manager for Microsoft 365 Copilot at Microsoft. Daloopa's MCP is LLM-agnostic and supports Anthropic's Claude, OpenAI's ChatGPT, and other AI platforms using the MCP standard. It also drives analytical AI workflows, from hedge funds detecting quarterly inflections and modeling scenarios to equity researchers generating reports. About Daloopa. Daloopa is the financial data layer powering the finance ecosystem with the most accurate and comprehensive data. Its proprietary platform sources, structures, and distributes this historical financial dataset covering over 5,500 public companies globally. Analysts at the world's top investment firms trust Daloopa's workflow solutions to save valuable time and accelerate their decision making. Daloopa also provides the critical AI data infrastructure that underpins the best financial agents and is trusted by the world's most preeminent AI companies. Media contact. Christina Scott Vice President of Marketing [email protected] By submitting this form, you acknowledge that Daloopa may collect, store, and process your personal information to provide the requested content, respond to your inquiry, and communicate with you about its products and services.
Rogo is pleased to announce a partnership with Daloopa, a fundamental data provider powering AI workflows in financial services, to bring Daloopa's data directly into the workflows that 35,000 finance professionals run on Rogo every day. What sets Daloopa apart is how they use AI for data extraction, have an accurate and complete fundamental dataset, and cover 5,500+ public companies globally, with each data point hyperlinked to its original source for transparency. Those sources include SEC filings, investor presentations, press releases, and more. This means financial professionals can pull metrics exactly as companies disclose them, with a breadth of company-specific KPIs that goes well beyond what traditional data vendors typically carry. This integration adds Daloopa's sourcing rigor to Rogo’s data suite - built to be the single pane of glass for the 12 tabs financial professionals typically juggle. "We are excited to partner with Rogo to bring Daloopa’s audit-ready financial data directly into the AI workflows of sophisticated financial institutions," said Gabriella Hernandez, Vice President of Partnerships at Daloopa. "Rogo has built a strong AI platform for research and analysis — used by thousands of financial professionals — and together we’re making it easier to access trusted data without leaving their working environment.” This integration will be available to Rogo customers as part of our growing ecosystem of financial data partners, surfacing alongside internal firm knowledge, public and private markets information, and other licensed sources within a single working environment.
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Industries
Data & Analytics
Fintech
Financial Services
Company Size
501-1,000
Company Stage
Series C
Total Funding
$101.4M
Headquarters
New York City, New York
Founded
2019
Find jobs on Simplify and start your career today