Eight apps on one dataset
Underneath the operator is a platform. One shared dataset, one AI that reads and writes across all of it, and one meter. This page is what it is built on, for the person who wants to look before they trust it.
One data model behind eight apps
The eight apps are Website, Email, Forms, Knowledge Base, CRM, Chat, Developers, and Socials. They are not eight products bolted together. They read and write the same Postgres dataset. What a form captures is available in the CRM. What the AI learns in chat is available when it writes an email. Nothing gets copied between tools, and nothing falls out of sync.
The stack runs as a polyglot monorepo, TypeScript across the API and apps with Python for content processing, all hosted on Google Cloud. Full infrastructure details are at /platform/infrastructure.
The surface, in numbers
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Integrated apps
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Tools the AI can call
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API operations
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AI clients that connect
How the AI works and how you reach it
Content generation runs on Google's Gemini family today, with a different model chosen for each step depending on the job. The full pipeline, how it grounds drafts and checks its own output, is explained at /platform/ai.
You reach the AI from the console or from any MCP client such as Claude, Cursor or ChatGPT, where the platform exposes 215 tools across the eight apps. The page at /mcp covers the setup.
One meter, one rate
Every app bills at $25 per million tokens of AI work. The meter runs with the AI and stops when the AI stops. Full pricing, caps and typical bills are at /pricing.
Your data and where the platform stands
Your data is yours. It lives in your project on Google Cloud, in US regions today, with encryption in transit and at rest. It does not train any public model and it does not appear in another customer's context. If you leave, you take it with you.
This is an early alpha. There is no SOC 2 yet, no SSO on the base plan and no formal SLA. All of that is planned and none of it has shipped. EU data residency is not built. If you need those today, this is not your tool today.
Connect your LLM client and go
Early access grants sandbox access to the whole platform. Upload your business docs first, then start asking. The AI grounds everything it produces in what you give it. If you want to read the code-level detail before you sign up, ask in chat.