Daloopa

Description

Daloopa exists to accelerate decision-making for investment professionals. Founded by a team with deep experience in equity research, Daloopa aims to eliminate the slow, error-prone parts of fundamental research without sacrificing accuracy or auditability. The platform provides a comprehensive data infrastructure that transforms complex financial filings, transcripts, and KPIs into clean, hyperlinked, customizable data that analysts can trust.

Daloopa's AI data infrastructure is relied upon by leading global AI companies and analysts at top investment firms. It covers over 6,000 public companies globally and delivers 14 years of data history, with 4-10 times more data points per company than other providers. This extensive dataset allows analysts to build and update financial models seamlessly, cutting ramp time by up to 70% and saving an average of 2 hours per ticker during earnings season.

The platform's Scout Excel agent enables users to build and maintain financial models directly within Excel, ensuring that each data point is credible and accurate. Scout identifies gaps in data and provides proactive solutions, minimizing errors and enhancing the reliability of outputs. Daloopa's API allows technical teams to programmatically access its expansive financial dataset, facilitating the development of analytics and AI agents.

Daloopa's commitment to transparency is evident in its source-linked data, which ensures that every number is audit-ready. The platform is designed for investment professionals who need to make informed decisions quickly and efficiently, allowing them to focus on generating alpha rather than manual data entry. With Daloopa, analysts can leverage high-quality data to enhance their research workflows and drive better investment outcomes.

Daloopa's Core Features

• Source-linked data

• AI-powered data infrastructure

• Excel integration

• Comprehensive API access

• Audit-ready outputs

• Customizable data

• Automated model updates

• Historical data access

• Proactive data gap identification

• High accuracy rate

How to use Daloopa?

1. 1

   Access the platform: Log in to your Daloopa account.

2. 2

   Select a ticker: Choose from over 6,000 global tickers to analyze.

3. 3

   Build a model: Use Scout to create financial models directly in Excel.

4. 4

   Automate updates: Link your existing models to Daloopa for one-click updates.

5. 5

   Analyze data: Utilize the comprehensive dataset to extract insights.

6. 6

   Customize outputs: Adjust data points and formats to fit your needs.

7. 7

   Review sources: Ensure every data point is linked to its original source.

8. 8

   Make decisions: Use the insights gained to inform your investment strategies.

Daloopa's Use Cases

• Investment Research
• Model Building
• Data Analysis
• Automation
• AI Development

FAQ from Daloopa

• What is Daloopa?

  Daloopa is an AI-powered platform that provides trusted financial data and automation tools for investment professionals.

• How does Daloopa improve model building?

  Daloopa cuts ramp time by up to 70% and saves an average of 2 hours per ticker during earnings season.

• Can I use Daloopa with existing models?

  Yes, Daloopa's plugin can be used with any existing models to simplify updates.

• What types of data does Daloopa provide?

  Daloopa offers comprehensive financial data, including historical data and KPIs for over 6,000 tickers.

• Is Daloopa suitable for international companies?

  Yes, Daloopa covers most major international companies, including those reporting in non-English languages.

• What is the accuracy rate of Daloopa's data?

  Daloopa boasts an accuracy rate of over 99% across millions of data points.

• How can I access Daloopa's API?

  Daloopa provides programmatic access to its financial dataset through a comprehensive API.

• What is the purpose of the Scout Excel agent?

  Scout helps analysts build and maintain financial models directly in Excel with reliable, source-linked data.