Accurate Web Data for Your AI Agents

Extract and structure public web data for your internal AI tools, RAG pipelines, and research platforms. Any source, any format, always fresh.

The challenge

A global asset manager was building internal AI research tools but couldn't get reliable, structured data from public web sources. Manual extraction was slow, inconsistent, and couldn't keep up with their models' appetite for fresh data.

How Kadoa solves it

Automated extraction from websites, PDFs, and public filings
Structured output ready for LLM ingestion and RAG pipelines
Automated metadata tagging and schema normalization
Direct integration with vector databases and data warehouses
Daily synchronization keeps AI tools current
Implementation time
3 weeks
From pilot to production
Pipeline maintenance
Zero
Fully automated
Weekly throughput
1000s of documents
Extracted and structured
Kadoa
Scrape dataMonitor
Source

Websites

Documents

Data Sources

Actions

Extract

Normalize

Sync

Destinations

Data Warehouse

AI Tools

Extracted data
SourceTypeRecordsFreshnessOutputStatus
Company IR PagesEarnings Data2,450DailyJSONActive
SEC EDGAR10-K Filings1,234DailyJSONActive
News SitesArticles8,920HourlyMarkdownActive
Research PortalsReports423WeeklyJSONActive
Regulatory BodiesPolicy Updates156DailyJSONActive
"Kadoa eliminated our biggest bottleneck — getting clean, structured web data into our AI tools. What used to take our data team weeks now runs on autopilot."
Head of AI Research, Asset Manager

Power your decisions with web data.