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A CRM the AI actually reads, on every other surface.

This replaces the sales CRM that is overkill for a company your size. Contacts, companies, and activities live in one place built to be read and written by the AI running your marketing. When it drafts an email, routes a chat reply, or answers a question, it reads the full history first.

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Built to be read by the AI

Dark-themed CRM interface showing a contact list in a table.

Contacts and companies

Each contact carries identity data, a computed engagement score, tags, custom fields, and consent preferences. Companies aggregate their contacts into an account-level view. Duplicates are merged. It is the behaviour graph the rest of the platform draws from, not a place to run pipelines.

Dark-themed CRM interface showing a contact profile with an activity history.

Every interaction on one timeline

Open a contact and you see the whole history: every page viewed, email opened, form submitted, chat message, and Knowledge Base search. Each activity is timestamped and attributed to the app that logged it. Ask for a summary and the AI writes one from the timeline on demand.

From anonymous to known, without losing the trail

A visitor reads before they ever give you a name. When they submit a form, the CRM resolves them to a contact and merges their earlier anonymous activity, so the first email the AI drafts already knows what they read.

Dark-themed CRM interface with a Log Activity dialog open over a contact record.

Ask it a question, get a list

Activities log every interaction across every channel, queryable in plain English. Ask "who are our most engaged contacts at Acme that we haven't emailed in thirty days," and the AI queries the CRM directly and returns the list with context. It flags anomalies too, like a contact whose engagement dropped sharply.

Where the edges are

This is a marketing-native CRM, not a sales-ops one. There are no deal stages, forecasting, quotas, territories, or commission math — for those, Salesforce, HubSpot Sales Hub, or Pipedrive is the right tool. There is no dialer, call recording, or sales sequences.

Custom fields are relatively simple; deeply nested or relational data models are not supported. And there is no contact enrichment from outside providers like Clearbit or ZoomInfo today, though that can be added by webhook.


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This content was built with MCP using Claude or OpenAI Desktop, LM Studio, Gemini, Codex, or Claude Code MCP. Plain copy, designs, or ideas were submitted to Giant Context and AI finished the job.

Give the AI a memory of every contact

Ask for early access. Import a few contacts or let a form create them, then ask the AI a question about them in plain English and see what it already knows.

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