Kadoa

Kadoa is an AI-powered automated web data extraction tool designed to turn unstructured data into valuable insights. The tool features a no-code interface, allowing users to configure, monitor, and integrate data workflows in minutes instead of weeks, cutting time to insight by 95%.

Core Technology & Architecture: Kadoa features Agentic Scraping, utilizing a multi-agent architecture that coordinates specialized sub-agents to handle any web scraping task fully autonomously. Key agents include:

• Coordination Agent: Main agent managing the task, breaking it down and enlisting sub-agents.
• Search Agent: Searches for relevant pages.
• Navigation Agent: Navigates through the website.
• Form Agent: Fills forms & search fields.
• Document Agent: Downloads & parses files.
• Observer Agent: Detects relevant data changes.
• Extraction Agent: Extracts target data.

Main Features & Characteristics:

1. Web Scraping Automation: Set up scrapers in minutes, zero-maintenance scrapers that auto-fix when sites change, more reliable than contractors at a fraction of the cost, deploy across teams with no technical expertise required.
2. Real-Time Monitoring: Observer agent detects data changes; alerts users to market-moving events before they appear on Bloomberg.
3. Avoid Getting Blocked: Browsers imitate human-like behavior and rotate global IP addresses with each request.
4. Maintenance-Free: Self-healing system adapts to data source changes automatically, eliminating emergency calls to engineering teams.
5. Data Validation: Every data point can be traced back to its source. Confidence scores flag uncertainties, and automated validation catches anomalies instantly. Processes millions of data points daily with enterprise-grade accuracy.
6. Security & Compliance: Enterprise-ready security (encryption at rest and in transit, penetration testing), access control & auditing (SSO/SAML/SCIM, strict data isolation), data control (on-premise or private cloud deployment, data never shared or used for AI training), automated compliance rules (compliance officer approval, sensitive data detection, automated robots.txt check).
7. Developer-Friendly: API-first platform with REST API and WebSockets, configure workflows via API or SDK, integrate data via API, webhooks, or storage connectors, export in JSON, CSV, or Parquet formats.

Target Users: Top Hedge Funds, Private Equity Firms, Fortune 500 Tech Companies, Asset Management Firms, Growth Marketing Managers, Product Managers, CPTOs. Testimonials highlight an 80% reduction in time spent on data collection, enabling analysts to extract data themselves and freeing data scientists from maintaining brittle scrapers for higher-value work.

Typical Use Cases:

1. Web Scraping Automation
2. Real-Time Monitoring
3. Company Documents
4. Retail Intelligence
5. Location Intelligence
6. Job Market Data
7. ETL for Gen AI
8. Competitor Monitoring
9. Automating Outbound Sales

Workflow: Before Kadoa: Identify data needs -> Request engineering resources -> Custom script development -> Compliance/quality checks -> Handle constant maintenance -> Back-and-forth iterations. With Kadoa: Configure workflow -> AI agents extract and transform data -> Data in minutes, not weeks -> Close blind spots -> Offload work from data team.

Pricing Model: Free trial is available. Enterprise deployment requires contacting sales for pricing.