Overview

Kadoa is a web data platform built for finance. Its AI agents build, monitor and maintain web data pipelines for investment teams and AI agents, with a focus on reliability. Its stated customers include hedge funds, asset managers, sell-side firms and data providers.

Three products

Monitors provide alerts on filings, prices and website changes, aiming to catch market-moving events quickly. Pipelines automate web scraping end to end, including creating scrapers and maintaining them as websites change. Datasets are built from public web data around your investment thesis, and Kadoa says you can test a free sample before you pay.

How it works

You point Kadoa at a source and describe the data you need, and the Kadoa Agent builds and runs the pipeline. Kadoa emphasises that its AI writes deterministic code, and the code produces the data, so there are no black-box model outputs in your dataset. Every value links back to its source page, paragraph or cell. Each run checks completeness, plausibility, schemas and your own domain rules. Self-healing repairs, tests and redeploys broken pipelines, and when a repair cannot be proven safe, you get a ticket explaining what broke, what was tried and the evidence.

Delivery

Analysts can work in Excel, Google Sheets, Slack alerts or the Kadoa app. Engineers can land data in Snowflake, Databricks, BigQuery, S3, SFTP, webhooks or the API. AI agents can query verified data through MCP, Claude, ChatGPT or internal agents.

Reliability claims

Kadoa reports under two hours from request to first dataset, 85% of incidents resolved without a ticket, a 99%+ run success rate over the trailing 365 days and more than 30,000 production pipelines. These are its own figures.

Security

Kadoa is SOC 2 certified, encrypts data at rest and in transit, runs regular third-party penetration tests and supports SSO/SAML with SCIM provisioning and granular access controls.

Pricing

You can book a demo or try it out, and a pricing page is available.

Things to consider

Make sure the web sources you collect from permit it, and check terms of service and data protection rules, especially for alternative data used in investment decisions. Review your compliance team's policies on material non-public information.