How does Kadoa ensure data accuracy?

Kadoa's AI agents generate deterministic code, not black-box outputs. Every data point traces to its source, and custom validation rules run on each execution.

Does Kadoa meet compliance requirements for financial firms?

Yes. Kadoa is SOC 2 certified, supports SSO/SAML, SCIM, audit logs, encryption, and offers compliance officer approval workflows and robots.txt checks.

Do analysts need coding skills to use Kadoa?

No. Analysts use a no-code interface to describe needs in natural language, and Kadoa auto-generates and runs extraction workflows.

How does Kadoa handle source changes?

The system auto-detects and adapts to source changes, using human-like browser patterns to avoid blocking. If auto-recovery fails, you're notified immediately and the team intervenes.

What source formats does Kadoa support?

Kadoa supports web pages, PDFs, Excel files, and images, extracting structured data from any source in a single workflow.

Kadoa

Kadoa is a web data platform for investment firms. AI agents build extraction workflows from websites, PDFs, and images, with real-time alerts, data validation, and SOC 2 compliance.

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Kadoa

Summary

Kadoa is a web data platform for investment firms that uses AI agents to build and maintain data extraction workflows, eliminating manual data collection and scraper maintenance bottlenecks for analysts and engineering teams.

What is Kadoa?

Kadoa lets analysts describe data needs in natural language, and AI agents generate and execute extraction code from websites, PDFs, Excel files, and images. The system auto-adapts to source changes, delivers real-time alerts, and integrates with S3, Snowflake, or spreadsheets. Every data point traces back to its source, with SOC 2 certification and compliance controls.

Core Capabilities

Natural language workflow builder: Set up extraction logic with prompts; supports web, PDF, images, spreadsheets
Self-healing workflows: Auto-detect and adapt to source changes; avoid blocking
Real-time alerts: Notify via Slack, email, or webhooks on source updates or market events
Source grounding: Every data point links to its origin; click to view source
Data validation rules: Custom validation logic runs on every workflow execution
Tool integrations: Push data to S3, Snowflake, spreadsheets; MCP and CLI support
Enterprise security: SOC 2 certified, SSO/SAML, SCIM, encryption, audit logs
Private deployment: On-premise or private cloud options; data never shared or used for AI training

Pros

Self-service for analysts: Build, configure, and monitor workflows without coding
Massive time savings: Customers report 80% reduction in data collection time
Deterministic execution: Generates real code, not black-box LLM outputs; results are reproducible and auditable
Faster than traditional providers: Alerts arrive before Bloomberg on market-moving events
Automated compliance: Configurable rules, robots.txt checks, sensitive data detection

Cons

Public sources only: Limited to publicly accessible web pages and documents
Learning curve: Setting up complex validation rules and compliance workflows takes time
Pricing not public: Must contact sales for quotes
Finance-focused: Features and use cases target investment firms

Decision Guidance

Use Kadoa if: You're an investment firm, hedge fund, quant shop, private equity, or investment bank that needs to automate extraction and normalization from hundreds of public sources (filings, regulatory documents, market data), with real-time alerts, compliance traceability, and enterprise security.

Consider alternatives if: You need one-off data extraction, have budget constraints, or require non-public data sources (use APIs or traditional data vendors instead).