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Clearskies connects the systems that touch your customers, resolves them into a single Context Graph, and makes that graph available to Claude, ChatGPT, Cursor, Grok Bot, internal agents, and your own code through one connection.

The short version

AI does not fail at reasoning. It fails at context. When a model queries your CRM, calls, email, and Slack through separate connectors, it gets four disconnected views and has to reassemble the customer on every query. That is slow, expensive in tokens, and often wrong, and no single connector can tell you what is missing. Clearskies does that work once, before the question is asked:
1

Connect your systems

CRM, calls, email, calendar, Slack, support, and engineering tools, plus your business context: sales process, team structure, territories, and product lines. No custom engineering. Takes minutes.
2

The Context Graph builds automatically

Identities are resolved across sources, relationships are mapped, every interaction lands on one timeline, and gaps are surfaced. The graph updates as your data changes.
3

Connect your AI

Install the Clearskies plugin or add Clearskies as an MCP server in Claude, ChatGPT, Cursor, or Grok Bot, or read the graph from your own code with the API. Every answer is built from complete context, with sources cited.

What you can do with it

The context layer is the foundation. What you build on it is up to you.
  • Ask questions in the AI client your team already uses and get one answer across CRM, calls, email, and Slack, with every source cited.
  • Run analysis across your whole book of business: win-loss, competitive intelligence, objection trends, rep coaching.
  • Automate workflows with triggers (a meeting ending, a schedule, a CRM record changing), agents that reason over the graph, and actions that deliver to Slack, email, or your CRM.
  • Work where you already work. The Clearskies plugin brings your revenue context into Claude, ChatGPT, Cursor, and Grok Bot. See Cursor and Grok Bot.
  • Build in your own tools. The same MCP connection works in n8n, Retool, and anything else that speaks MCP.

Who Clearskies is for

Clearskies is built for revenue teams that are operationalizing AI: the RevOps and GTM Engineers wiring AI into the sales motion, and the leaders, managers, and reps who depend on the answers. One person connects the sources; everyone on the team, and every AI client, works from the same context.

What makes it different

  • Complete context, not connected access. Connectors give AI access to a source. Clearskies gives AI the resolved, cross-system picture, including what is missing, such as a deal with no email activity in 14 days.
  • Model-agnostic. A new model takes the lead every few months. Your context should outlive any one of them. Claude, ChatGPT, Cursor, Grok Bot, or your own tools, on one context layer.
  • Consistent answers. Every AI workflow starts from the same pre-computed graph, so answers do not drift by tool, user, or prompt.
  • Your business context travels with it. Sales process, team structure, territories, and operating rules are part of the graph, not tribal knowledge trapped in individual prompts.
  • Your data stays yours. No lock-in and no extraction fees. You choose which data sources are connected, and you can update or revoke access at any time.
  • No per-seat fees. Plans are sized to your go-to-market team, not a seat count. See pricing.

Next steps