Kadoa: The Web Data Layer for Finance
Kadoa is an AI-driven web data extraction platform designed to convert unstructured web content, PDFs, images, and spreadsheets into structured datasets. By utilizing autonomous AI agents alongside deterministic code generation, Kadoa allows investment research teams, analysts, and engineers to build and maintain self-healing data pipelines effortlessly.
Key Features
- AI-Powered Pipeline Generation: Autonomous agents write, test, and run deterministic ETL code based on plain-language descriptions.
- Self-Healing Workflows: Automatically detects when website layouts change and updates extraction code without breaking the pipeline.
- Source Grounded & Audit-Ready: Every extracted value can be traced back to its specific source page, paragraph, or spreadsheet cell.
- Cloud-Native Delivery: Delivers structured data directly into S3, Snowflake, BigQuery, or custom data warehouses.
- Real-Time Monitoring & Alerts: Continuously tracks web sources and notifies teams via Slack, email, or webhooks about market-moving changes.
Use Cases
- Investment & Financial Research: Gather and normalize data across cross-regional filings, regulatory ruling updates, and financial news.
- Self-Serve Analyst Data Gathering: Empowers non-technical analysts to build custom datasets using UI commands or MCP interfaces without waiting on data engineering teams.
- Automated Web Data Operations: Replaces brittle, manually built web scrapers with an enterprise-grade web scraping operating system.
