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AI Employees That Turn Sources Into Structured Data

Custom AI employees extract, clean, and route information from documents, web, and feeds into your existing databases and tools. Real datasets, no scraping scripts to babysit, no migrations.

Works with the tools you already use

AirtableSnowflakeGoogle SheetsNotionSlackZoomDropbox

Use cases

Three AI employees Data & Research teams put to work from day one.

Agent 01

Data Collector

What it does
  • Gathers info from sites and docs
  • Pulls it all into one place
  • Updates it on a schedule
  • No scripts to babysit
Agent 02

Cleanup Assistant

What it does
  • Fixes messy records
  • Removes duplicates
  • Fills in missing details
  • Keeps your database tidy
Agent 03

Research Assistant

What it does
  • Summarizes long documents
  • Compares options side by side
  • Pulls out the key facts
  • Hands you a clear answer
FAQ

Data & Research,
answered

How AI employees work for teams like yours. Still curious? Talk to the founder.

It owns a real workflow end to end, not just a single task. For data & research teams that typically means a Data Collector that gathers info from sites and docs and pulls it all into one place; a Cleanup Assistant that fixes messy records and removes duplicates; a Research Assistant that summarizes long documents and compares options side by side. Each one is custom-built around how your team already works, with a human approving anything sensitive.

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