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The short version

Clearskies works in two phases: 1. Unify your data Link your CRM, calls, email, calendar, and Slack. Clearskies unifies them into a Context Graph — the foundation that makes everything else work. 2. Build, deploy, improve Create agents using templates or from scratch. Deploy them where your team works. Collect feedback and iterate. Build using the Clearskies agent builder, native Slack agent, or connect your existing apps and workflows to your context graph using the Clearskies MCP server.

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Who Clearskies is for

Clearskies is built for RevOps and GTM Engineers, the technical operators on revenue teams who want to ship production-ready and secure solutions without waiting on engineering or buying another seat-licensed tool. If you’ve ever thought “I wish I could just build this myself,” Clearskies gives you that ability.

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What makes it different

Most sales AI tools ship pre-built AI features you can’t customize. They’re designed for the average company, not yours. When the feature doesn’t quite fit your workflow, you work around it — or wait for a roadmap that may never prioritize your problem. Meanwhile, AI capabilities for revenue teams keep advancing, but the ability to deploy them into real GTM workflows hasn’t kept pace. Clearskies takes a different approach:
  • Full context — Agents have access to your complete customer picture: CRM, calls, emails, calendar, Slack. Not just fragments.
  • Full control — Build agents tailored to how your team actually works. Control what they know, how they respond, and where they show up.
  • Fast iteration — Deploy in minutes, not months. Run evals against your criteria. Track adoption to see what’s landing. Collect feedback from reps. Improve as you go.
  • Your data stays yours — Clearskies connects to your tools to build the context graph, but the data remains yours, and you control what agents can access.

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Next steps