Go from idea to dataset without writing code.
Start with pre-built datasets or source your own by simply writing a prompt.
Integrate with the tools you already use. Push data directly to S3, Snowflake, or your spreadsheet. Use our MCP to connect datasets to your AI agents.
Websites of any structure, PDFs, Excel files, even images. Get structured data from any multimodal source easily.
Get real-time updates of market-moving data changes via Slack, email, or webhooks.
In finance, if data is wrong or late, someone feels it. We build the most reliable datasets for investors.

Every value is source-grounded and audit-ready. Click any data point to see the exact page, paragraph, or cell it came from.

Built-in checks for completeness, fill rate, schema drift, format consistency, and more. Add your own domain rules on top. Every run is validated before data reaches your system.

When a workflow breaks, Kadoa detects it and fixes the code automatically. Every fix is logged so you can see what changed, when, and how it was resolved.

If automated recovery fails, you get notified immediately with full context: what broke, what was tried, and what needs human review.
Our agents generate and maintain deterministic code and do not produce black-box LLM outputs.
You stay in full control of your mission-critical pipelines.
Decomposes tasks and generates scraping code.

What hedge funds actually need to build at scale: the signals worth tracking, the pipeline that holds up, and the compliance layer that doesn't block every new source.
AI and compute scale are making it possible to source public data at scale without a large team or an expensive vendor contract.
How hedge funds and asset managers use web scraping to extract proprietary signals from public websites for investment decisions.