# 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

### undefined



### undefined



### undefined



### undefined



## How It Works

1. **Step 1** — 
2. **Step 2** — 
3. **Step 3** — 
4. **Step 4** — 
5. **Step 5** — 

## 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.