One shared workspace where your whole go-to-market team works from the same live data β pooled credits, spending limits you control, and unlimited seats. Upload your companies, expand your persona to 100% of variations, then export only qualified leads. Pipecorn runs on live data and AI cleans every record, so your reps only see people worth calling.
Four steps. One morning. Your reps open the CRM and the work is already done.
01Upload companies
Drop your company list. We enrich.
Hand us a list of just company names β CSV, Sheets, or paste from your CRM. Pipecorn matches each one live and auto-enriches the missing pieces: domain, industry, size, location, tech stack. You give us names, you get back complete records.
Names only
Live enrichment
0.4s match
company-names.csv5 names Β· just plain text Pipecorn handles the restCSV
You uploadβPipecorn enriches
CompanyDomainIndustryΒ
Notionnotion.soProductivityEnriched
Linearlinear.appProject mgmtEnriched
Stripestripe.comFintechEnriched
Figmafigma.comDesignEnriched
Vercelvercel.comDevToolsEnriched
names in, records out
02Find your persona
One title in. 100% of your persona out.
βMarketing Directorβ means CMO, VP Marketing, Head of Marketing, Directeur Marketing, Responsable Marketing β and a long list of false-positives like intern, junior, or stagiaire. Pipecorn's AI generates the entire variation tree (and the auto-exclusions) from a single seed title, in seconds.
Every lead gets cross-checked against your persona β role, seniority, company size, industry β and the false positives are automatically dropped. You export only the people your reps should call, straight to CSV, HubSpot, or Salesforce.
Auto-filter
ICP match
CRM export
Filtering against your persona7 leads found Β· keeping only matches
No more tom π, j. smith, or GOOGLE LLC ruining your sequences. Pipecorn's AI normalizes first names, titles, and companies on the fly β so every record looks like a human wrote it. Zero cleaning work for your ops team.
AI cleaning
3h saved / week
Zero ops
β¨AI cleaning your records5 fields normalized in parallel
π€First nameTOM πβTomβ
π€Last namej. smithβJohn Smithβ
πΌJob titleSr. Eng.βSenior Engineerβ
π’Companygoogle llcβGoogleβ
π§EmailTOM@GOOGLE.COMβtom@google.comβ
5 fields cleaned Β· zero ops work100%
Ready to push to HubSpot Β· Salesforce Β· CSV
like a human typed it
Built for teams
One workspace for your whole go-to-market team.
Pooled credits, spending limits you set, and unlimited seats β so the whole team builds from the same live data without stepping on each other or blowing the budget.
β Shared credits & limits
One pool. Limits you control.
Every workspace runs on one pooled credit balance. Everyone draws from the same pot β nothing sits stranded in an unused seat. Then set a monthly cap per member: give power users room to run, keep new reps on a budget. When someone hits their limit, exports pause for them, never for the team.
Pooled balance
Per-user caps
One top-up
Team credit pool62,400credits left
Shared
MMarie Β· Adminno cap
TTom Β· SDR5k / mo
JJamal Β· SDR5k / mo
LLea Β· AE3k / mo
everyone, one pot
Unlimited seats
Invite the whole team.
SDRs, AEs, RevOps, marketing, founders β bring everyone in. Seats are unlimited on every plan. You pay for the data you use, never for the number of people in the workspace.
No per-seat fees
Roles & permissions
Control who does what.
Admins, members, and viewers. Decide who can export, invite, or see billing β so the workspace stays clean as the team grows, with no accidental spend.
Admin controls
Shared lists & personas
Build on the same ICP.
Personas, saved searches, and lists live in one place. Define your ICP once and the whole team builds on it β no duplicated work, no drifting definitions across reps.
One source of truth
Usage visibility
See where credits go.
A live dashboard shows who spent what, on which lists, this month. Spot your top builders, catch runaway exports early, and plan your next top-up with real numbers.
Live spend view
One workspace
One team. One pool. One flow.
No Clay tables, no CSV gymnastics, no ops backlog. Invite the whole team, share one credit pool, and set the limits β Pipecorn does the rest, every morning.
Just company names β a CSV, a Google Sheet, or a paste from your CRM. Pipecorn matches each company live and enriches the missing pieces (domain, industry, size, location, tech stack) automatically. No formatting, no column-mapping marathon.
From a single seed title like βMarketing Directorβ, the AI generates the full variation tree across languages β CMO, VP Marketing, Directeur Marketing, Responsable Marketing β plus the auto-exclusions (intern, junior, stagiaire). One seed, 100% coverage.
Every workspace runs on one pooled credit balance. Everyone draws from the same pool, so nothing sits stranded in an unused seat. You top up once, and the whole team enriches from it β no per-seat allocations to juggle.
Yes. Admins set a monthly credit cap per member β give your power users room to run and keep new reps on a budget. When someone hits their limit, exports pause for them, not for the team. You always keep control of the burn.
As many as you want. Seats are unlimited on every plan β SDRs, AEs, RevOps, marketing, founders. You pay for the data you use, never for the number of people in the workspace.
A contact that matches your persona on every axis you defined: role, seniority, company size, industry, region. Anything that fails a check is dropped before export β your reps never see it.
CSV, HubSpot and Salesforce out of the box. Leads land enriched, qualified and AI-cleaned β ready to be enrolled in a sequence the same morning.
No. Pipecorn's AI normalizes first names, job titles and company names on the fly β no more βTOM πβ, βj. smithβ or βGOOGLE LLCβ in your sequences. Zero cleaning work for your ops team.
Compliance
Data protection you can trust.
We only buy from providers whose collection basis we can document. Every contact is handled under GDPR and CCPA.