Competitive Intelligence at Scale
AI Data & Analytics Team
Research hundreds of companies in parallel — datasets in minutes, not weeks
Your AI team deploys research agents in parallel to study a target list of hundreds of companies. Each agent does the same job a junior analyst would — pricing, positioning, product, team, funding, growth signals — and writes back to one shared dataset.,Output is a clean, structured database. Sortable by any field. Exportable to your CRM, warehouse, or BI tool.,Re-runs on schedule so the competitive picture stays current without anyone clicking refresh.
Benefits
How It Works
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At a Glance
- 500+
- Companies per analysis run
- Minutes
- From target list to dataset
- 100%
- Citations per data point
- Scheduled
- Re-runs on autopilot
Why Parallel Beats Sequential
FAQ
How is this different from PitchBook?
PitchBook gives you their data on their schema. Your team builds the dataset YOU need, on YOUR schema, from any source on the web.
Can it run on private companies?
Yes — pulls from press, LinkedIn, Crunchbase, job boards, and any source you connect.
How is data quality controlled?
Every cell carries a citation. Confidence scores flag low-evidence findings for human review.
Can the dataset push to my CRM?
Yes — Salesforce, HubSpot, Affinity, Attio, plus any warehouse via SQL push.