What is RavenPack?
RavenPack is a global leader in alternative data and natural language processing (NLP) for the financial sector. Since 2003, it has developed AI-driven platforms like Bigdata.com and Bigdata API that transform vast volumes of unstructured textual data (e.g., news, filings, transcripts) into structured, actionable insights for investment, risk, and research professionals
What is the value of RavenPack?
Delivers real-time, structured insights from unstructured financial content (news, filings, transcripts, etc.)
Enhances decision-making with sentiment analysis, event detection, and relevance scoring
Powers AI and research workflows via APIs, SDKs, and user interfaces built for finance
Offers deep historical archives (20+ years) for backtesting and strategic modeling
Supports customization with finance-focused taxonomies and a comprehensive knowledge graph
What pain points does RavenPack solve?
Difficulty extracting insights from massive, unstructured text data
Slow, manual research processes and information overload
Lack of transparency and traceability in generative AI outputs
Gaps in connecting internal and external data for real-time decision-making
Need for scalable, AI-ready infrastructure for financial institutions and teams
Webpage: https://www.ravenpack.com/
RavenPack's primarily targets are:
Capital Markets & Investment Management: Professionals involved in managing assets, investment research & active investment decision-making / exchange of securities.
Data-driven finance professionals: Individuals leveraging a data-driven approach to support their investment & research decisions.
Investment-related decisions & workflows: Includes active asset/portfolio & fund management, “buying” and “selling” securities in the market, generation of investment ideas & advisory.
Buy Side institutions: Purchase securities & manage investments to generate returns (hedge funds,asset managers, mutual funds, insurance companies…etc)
Sell Side institutions: Create, promote and sell securities to investors acting as intermediaries between issuers of securities and buyers (investment banks, equity research firms, brokerage firms…etc)
RavenPack's Customers:
• Trusted by the World´s top Investors (+70% of the main financial institutions)
• Our Clients include the best performing Hedge Funds, Banks, & Asset Managers.
• Also serve industries like Risk Management, Compliance & Corporate Finance.
Customer Size Segmentation:
1) Bigdata.com APP
(Non-Technical ICPs)
2) Bigdata.com API
(Technical ICPs)
Bigdata solution acts as a research assistant and enables:
Custom Watchlists: Build personalized watchlists for stocks, topics, crypto, or any relevant granular or macro entities to track key trends.
Interactive Portfolio Management: Chat with your portfolio in real time, providing portfolio managers and analysts with instant insights.
Research Assistant Capabilities: Favours team & organizational research collaborating & knowledge sharing through integrations/alerts with Gmail, Slack, Teams, etc.
Data Integration: Delivered via API with vector database support, ensuring seamless integration into your existing systems
Example of a 30-Second Value Prop
We work with investment teams to streamline research using AI-powered tools that transform messy internal and external data—like PDFs, market news, and filings—into real-time, actionable insights. It's like having a research assistant that never sleeps.
Example of a 10-Second Value Prop
We help investment teams use AI to turn unstructured data into decision-ready insights.