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AI-native GTM platform

Your GTM team runs a stack of tools. It needs one.

Find the right accounts, run governed outbound, sell with meeting and pipeline context, and manage every workflow from one AI-native CRM.

Workspace
Sales, marketing, service
AI
Reviewed before it acts
Integrations
30+ connectors
Illustration · sample data
Product system

CRM data becomes source-backed Revenue Memory, then governed AI action.

The visual model is simple: keep production CRM records as the source of truth, synthesize them into an inspectable memory layer, then expose only approved context to reps, managers, CoPilot, and API-key agents.

Inputs

Revenue sources

Meetings

calls, notes, transcripts

CRM records

accounts, contacts, deals

Activity

tasks, email, notes

Signals

TAM alerts and intent

Memory layer

Revenue Memory

A tenant-scoped operating layer that cites the records behind every queue, score, stale-deal prompt, and agent-readable response.

Source-backed

Source timeline

Stale-deal queue

Pipeline movement

Agent read API

Outputs

Governed AI action

CoPilot drafts source-backed follow-ups

Managers inspect stage movement before forecast calls

External agents read tenant-scoped context through API keys

Key workflows

The work your team does every day

Illustration · sample dataBuild campaigns and nurture journeys from the same records your team sells from.

Integrations and AI

Connect your stack. Keep AI accountable.

One data model sits under every connector and every AI suggestion, so what the AI sees is what your team sees.

  • 30+ connectors

    CRM, email, calendar, telephony, finance, support, and ad platforms. Each connector needs its provider credentials before it syncs.

  • AI with review

    Insights, drafts, and next actions are grounded in CRM records and routed for human review before they change anything.

Browse integrations
Illustration · sample dataIntegrations console
Illustration · sample dataAI review queue

Use cases

How each team uses CRM.me

  • Revenue leadership

    Run forecast calls from one record set

    Pipeline, activity, and meeting context live on the same records, so reviews focus on decisions instead of reconciling tools.

  • Revenue operations

    Keep sequences, signals, and routing on one data layer

    Configure workflows, lead routing, and sequences against shared fields and audit what changed.

  • Customer operations

    Hand accounts between sales and service with full context

    Service teams see the deal history, conversations, and open tasks behind every account they inherit.

Built to be governed

  • Tenant-scoped data

    Every record, query, and API key is scoped to a single workspace.

  • Roles and audit trails

    Role-based access, two-factor authentication, and audit logs for critical actions.

  • Honest availability

    Extensions and mobile apps are in verification. Marketplace and app-store listings are not live yet.

Admin and security controls

Run your entire revenue motion from one platform

Bring your data, connect your stack, and run operator-guided workflows, revenue workspaces, coaching, and customer timelines across sales, marketing, service, and operations.