DATA ENRICHMENT

Drop a company name. Get the full picture.

One name in. Revenue, headcount, tech stack, decision-makers out.

COMPANY LOOKUP

Enter a company name or click a preset above

Behind the Build
Stack
Cloudflare WorkersWorkers AI (Gemma 4 + Llama 3.1)Clearbit APILinkedIn APIBuiltWith APILinkedIn Sales NavNews APIJSON self-healingSession cachingInput validation
Architecture
Company submitted
Input validated
5 sources queried
Data normalized
Lead score calculated
Profile rendered
Compare ready
How it works

Three pre-built profiles use instant hardcoded enrichment. Free text input triggers a two-step AI pipeline: first, an LLM classifies whether the input is a plausible company name. If valid, a second LLM call generates a full intelligence profile with industry, revenue, headcount, tech stack, key contacts, and recent signals. Results are cached per session for consistency. Five data sources are queried in sequence with confidence indicators. The lead score is computed from 5 weighted dimensions (revenue, headcount, signals, tech stack fit, industry) and displayed as an animated breakdown bar. After enriching 2+ companies, a comparison table becomes available.

What you are seeing

Enter a company name or click a preset chip. A scanning shimmer sweeps each field as data loads. Tech stack pills show source logos. Key contacts render as mini-cards with avatar initials. The lead score animates from 0 to its final value with a stacked breakdown bar showing which factors contributed most. The source panel tracks confidence with visual bars and flashes Copper when a source connects to a field. After the card builds, a What Happens Next section shows how enriched data feeds into CRM, routing, and outreach. Try typing a well-known company name to see real AI-generated enrichment.

Try CRM Automation to see enriched data put to work.

More where that came from.

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