Enrich a company list with AI
Turn a column of company names into leadership, funding, headcount and positioning, researched from the live web one row at a time.
Updated August 2026
What goes in, what comes out
Input
- Company
- Domain
Output
- CEO name
- Total funding
- Employee count
- One-line description
The prompt
Paste this into the description field, or write your own version of it.
Find the current CEO, total disclosed funding raised, approximate employee count, and a one-sentence description of what the company does.
Why this works
Company leadership, funding rounds and headcount are widely reported on the open web: press releases, Crunchbase profiles, LinkedIn pages and the company's own site. A model with search reads several of these per row and reconciles them.
Getting the best results
Ask for a source year alongside funding figures and you will get more consistent numbers, since public sources disagree on rounds. Headcount read from a careers page tends to be fresher than a directory listing, so name the source you prefer in the prompt.
What it costs
On Gemini 3 Flash, a typical row of this shape costs about <$0.01, so roughly $0.55 per thousand rows, paid directly to Google. OpenClay adds nothing.
The tool shows an exact figure after a five-row test, before you commit to the batch. See all models and pricing.
Step by step
- 1Load your list. Upload a CSV or Excel file with a company name or domain column.
- 2Describe what you need. Type the fields you want in plain English, or start from the Company research preset.
- 3Test five rows. Check the results and the exact per-row cost before running the full batch.
- 4Run and download. Run every row, then download the enriched file with the new columns appended.
No account, no card, no platform fee.
Bring your own API key and pay the model provider directly.
Start enriching, freeOther use cases
- Enrich a lead list without paying for Clay: Export raw prospects from Apollo, lemlist or LinkedIn, enrich them with live research, and pipe them back into your sequencer.
- Build a competitor matrix with AI: Give it a column of competitors and get pricing, positioning, target segment and differentiators back as structured columns.
- Enrich a list of universities: Rankings, acceptance rates, tuition and programme details for hundreds of institutions, without copying from a dozen tabs.
- Track hiring signals across companies: Open roles, the functions being hired, and the careers page URL: a decent proxy for where a company is investing.
- Enrich any CSV with AI: The generic case. If you can describe the column you want in a sentence, and the answer exists on the public web, this works.