resolved: VP of Revenue · VP, Revenue @ Series B fintech · 120 ppl
verified: smtp 250 · not catch-all · hlr live · 92%
HubSpot confirmed → 1 record updated · deduped
SuperSeller10:02
✓ ENRICHED · 92% MATCH
VP of Revenue
VP, Revenue · Series B fintech · 120 ppl
v.reyes@██████.com+1 (415) 555-••42
01 / 08
A rep drops a URL
Any LinkedIn profile, pasted straight into the channel your team already lives in. No forms. No tabs.
02 / 08
The model routes it
There is no middleware. The LLM itself — custom, on dedicated H200s — reads the message, classifies the intent, and writes the plan.
03 / 08
Resolve the human
Before spending a cent on providers, the model scrapes the profile — name, title, company, geo — and cross-checks it against the company's own site. Wrong-person enrichment dies here.
04 / 08
Calls that come home
The model fires each provider call and every result returns to it — merged, deduped, and judged before the next call goes out.
05 / 08
Verify with evidence
Every field is challenged: MX records, a live SMTP handshake, catch-all detection, phone HLR lookup, title–geo agreement. Confidence is earned per field — not guessed.
06 / 08
Write-back, supervised
The LLM writes the record to HubSpot and holds the thread until the CRM confirms.
07 / 08
The LLM posts back
The model — not a webhook — composes the reply and drops the enriched card in-thread. ~12 seconds, end to end.
08 / 08
Endless workflows. One model.
Enrichment is just one motion. The same brain plans company research, list builds, call grading — and anything you teach it. The four below are just a start. Run one yourself.
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PICK A WORKFLOW — THE MODEL PLANS IT LIVE · HOVER ANY CALL
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WHAT YOUR TEAM SEES
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INTENT—
PLAN—
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ROUTES · MERGES · VALIDATES · POSTS
CALL LOG · LIVE
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calls—confidence—crm—demo data · masked for privacy