Kadoa is a web data extraction platform designed for finance professionals, using AI agents to build and maintain deterministic data pipelines that extract structured datasets from websites, PDFs, images, and spreadsheets rather than requiring hand-built scrapers for every source.
Self-serve dataset creation lets users describe data needs in plain language while the platform generates production-ready code, with source grounding tracing every extracted value back to its original source for a full audit trail. Self-healing workflows automatically detect and repair broken pipelines when a source page changes, real-time monitoring alerts via Slack, email, or webhooks for market-moving data changes, and cloud-native delivery integrates directly with S3, Snowflake, BigQuery, and other data warehouses. An orchestrator system runs specialized subagents for discovery, navigation, extraction, transformation, code review, and validation, generating deterministic code rather than black-box LLM outputs.
Kadoa targets analysts building datasets through a UI without coding, engineers writing and deploying ETL code with automatic scaling and monitoring, and investment firms including hedge funds, quant firms, private equity, and investment banks. The platform is SOC 2 certified with on-premise or private cloud deployment options; pricing isn’t public, request a demo for access.
