Kadoa

What It Does

Kadoa is an enterprise-grade web data extraction platform designed specifically for finance professionals who need reliable, accurate, and real-time web datasets. The platform uses AI coding agents to automatically generate and maintain deterministic data pipelines, eliminating the manual overhead of building and maintaining web scrapers while ensuring the highest data quality standards.

Who It's For & Key Problems Solved

Kadoa serves investment firms, hedge funds, private equity firms, and financial institutions that require mission-critical web data for investment research, portfolio monitoring, and market analysis. It solves the persistent problem of data engineering bottlenecks where analysts wait weeks for custom scrapers that break frequently and require constant maintenance. The platform enables both technical and non-technical users to extract data from websites, PDFs, images, and spreadsheets in minutes rather than months.

Key Features & Capabilities

• AI-Powered Pipeline Generation: Describe data needs in plain language and get production-ready extraction code automatically generated and maintained by AI agents
• Multi-Source Extraction: Extract structured data from websites, PDFs, images, spreadsheets, and company filings across multiple formats
• Self-Healing Infrastructure: Automated detection and repair of broken workflows with full logging and transparency
• Source-Grounded Data: Every extracted value is traceable to its exact source (page, paragraph, or cell) for audit-ready compliance
• Real-Time Monitoring & Alerts: Get instant notifications via Slack, email, or webhooks when market-moving data changes
• Enterprise Data Quality: Built-in validation checks for completeness, plausibility, and schema adherence on every pipeline run
• Cloud-Native Delivery: Direct integration with S3, Snowflake, BigQuery, and other data warehouses with no glue code required
• Dual Interface: Self-serve UI for analysts and native ETL code environment for engineers

Typical Workflows

Analysts use Kadoa to build custom datasets through a no-code interface or via MCP integration, describing their data needs in plain language. Engineers can write and run ETL code natively within Kadoa, migrating existing pipelines while leveraging automated scaling, monitoring, and self-healing. The platform handles the entire lifecycle: discovers and indexes target pages, generates browser automation code, runs extraction, transforms and structures data, performs code review, and validates output quality. Data teams report an 80% reduction in time spent building and maintaining web scrapers.

What Differentiates It

Unlike black-box LLM outputs, Kadoa generates deterministic, verifiable code that users can inspect and control. The platform is SOC 2 certified with enterprise-grade security including SSO/SAML, encryption at rest and in transit, and options for on-premise or private cloud deployment. Kadoa never shares customer data between tenants or uses it for AI training. The system includes comprehensive observability with success rate tracking, throughput metrics, and incident dashboards. Financial institutions trust Kadoa to run thousands of production scrapers with transparent error handling, automated compliance rules, and the ability to detect market-moving events before they appear on traditional data feeds.