B2B data enrichment platform

Turn incomplete records into workflows that can act.

Source, enrich, validate, score, and route people and companies in one visual workspace. Build by hand or let Claude Code, Codex, Cursor, OpenCode, Grok, or Hermes Agent assemble the workflow for you.

400M people24M companiesEmail + mobileAgents + visual UI

Enrichment should end in a decision, not another CSV.

Traditional enrichment tools add fields and stop. gtmcli treats data as one stage in a persistent GTM workflow: define an audience, attach the evidence your team needs, score the result, validate the contact path, and deliver only records that pass your rules.

The visual workspace gives operators control over every table and column. Agent interfaces accelerate repetitive construction, code columns handle custom logic, and the cloud runtime keeps recurring systems alive after the first run.

Coverage claims are only useful when they survive your market. Test a representative sample, define an acceptance rule before the test, and measure cost per accepted record across the full waterfall.

What you can build

One workspace from source to finished workflow.

01

People enrichment

Search and enrich role, seniority, location, profile, company, and professional context from the owned people dataset.

02

Company enrichment

Add firmographic, industry, employee, location, technology, growth, and web context to target accounts.

03

Email and mobile

Find work emails and mobile numbers, then validate addresses before they enter an outbound system.

04

Provider waterfalls

Route lookups across owned data and supported providers with explicit fallbacks and acceptance rules.

05

Code columns

Run custom scoring, transformations, APIs, and open-source models inside the same enrichment table.

06

Cloud automation

Trigger the finished workflow from cron schedules, webhooks, CSV imports, APIs, or Apify Actors.

How it works

Build an enrichment system in four stages.

  1. 01

    Define the accepted record

    Write the firmographic, role, contact, and evidence requirements before selecting providers.

  2. 02

    Source and enrich

    Start from owned data, a CSV, webhook, API, or Apify Actor and add only fields that influence a decision.

  3. 03

    Validate and score

    Check contactability, apply code or model-based scoring, and preserve provenance for every important field.

  4. 04

    Route and observe

    Send qualified records downstream, quarantine ambiguous ones, and track match rate, cost, and exceptions.

Agent prompt

Find US cybersecurity companies with 50–500 employees.
Add VP-level security and IT contacts, verify work emails,
score ICP fit from 0–100, and send only scores above 80
to the review queue every Monday.

✓ Editable workflow ready for review

Compare approaches

Choose a system, not a database-size headline

Evaluation areaWeak testBetter test
CoverageVendor-reported database sizeMatch rate on a blinded sample from your ICP
AccuracyAny non-empty resultRecords that pass a documented acceptance rule
CostSubscription priceTotal cost per accepted, delivered record
AutomationOne-time CSV exportSchedules, webhooks, retries, logs, and approvals
ControlOpaque final valueProvenance, provider response, and editable decision logic

Frequently asked questions

Straight answers before you build.

What is a B2B data enrichment platform?

A B2B data enrichment platform adds structured company, person, contact, and signal data to records you already have—or helps source new records from an ICP definition. The useful output is not more fields; it is a cleaner, qualified record that can drive a workflow.

What data can gtmcli enrich?

gtmcli combines owned people and company data with work email finding, email validation, mobile phone enrichment, web research, supported third-party providers, Apify Actors, and custom code columns. Jobs data is planned but is not yet live.

Can I build enrichments without code?

Yes. You can build tables and enrichment columns in the visual workspace. Coding agents can accelerate the same work through MCP, CLI, and API, while the finished workflow remains visible and editable in the UI.

Can enrichment workflows run automatically?

Yes. Workflows can run in the cloud on a schedule, receive webhooks, process CSV imports, respond to API events, or begin with an Apify Actor. Add approval gates before sensitive writes or campaign launches.

How should I compare data enrichment tools?

Compare coverage on your exact audience, accepted-record accuracy, provenance, refresh behavior, cost per accepted record, integration depth, retry controls, and how easily your team can inspect failures. A generic database-size claim does not answer those questions.