Your CRM, calls, email, calendar, and Slack — unified into a single customer context graph. So when you build with Claude, ChatGPT, or any AI, it works with the full picture. Not fragments.
Built for revenue teams — sales leaders, RevOps, and GTM engineers.
“I have Clearskies MCP connected to Claude which also connects into Amplitude, M365, and Atlassian. I'm running daily and weekly CEO Briefs on sales, competition, product sentiment, customer success, and customer health. I'm getting a level of insight that would have been impossible or massively labor intensive before. You have truly supercharged our business. THANK YOU”
— Jake Olsen, CEO at Stratus
Full customer context. Here’s what revenue teams are doing with it.
Surface patterns across calls, emails, CRM notes, and Slack threads that no single system could show you.
Full briefing before every meeting — deal history, recent emails, Slack threads, past calls. One view.
Real silence detection across every channel — not just “no CRM activity” but “no activity anywhere.”
Coaching moments surfaced from actual calls, tied to deal outcomes. Not just call scores.
AI updates CRM fields after every interaction, with high-quality outputs, exactly the way you define them.
MEDDPICC, SPICED, or your own criteria — assessed from actual signals, not rep self-reporting.
Clearskies is the context layer underneath. You build with whatever AI tool your team already uses.
Connect Clearskies as an MCP server in Claude. Your team asks cross-system questions directly inside Claude — with full context from CRM, calls, email, and Slack.
Learn moreGive ChatGPT your full customer context. Same unified graph, same cross-system intelligence — inside the tool your team already knows.
Learn moreClearskies is model-agnostic. Claude, ChatGPT, Gemini, or your own tools — one context layer, any AI.
CRM, calls, email, calendar, Slack. No custom engineering. No field mapping. Takes minutes.
Clearskies resolves identities, maps relationships, and links activities across every system. One coherent customer picture, not five disconnected data sources.
Ask questions, build workflows, deploy agents — with any AI tool. Every answer built from complete context. Every source cited.
Connectors give your AI data.
A context graph gives it understanding.
Individual connectors query each system separately and stitch results together at ask-time. A context graph resolves identity, timeline, and relationships before the AI ever sees a question.
Every source connected. Every identity resolved. Every timeline built.
Gap detection: champion went dark, deal went silent, follow-up never sent.
No vendor lock-in. No extraction fees. Model-agnostic. Reads from and writes to your data warehouse.
Usage-based pricing. Add your whole team without per-seat costs.
Every analysis shows what data was used and what was missing. Trust through transparency.
Use the platform on your own. Full access to the Customer Context Graph. Connect your data, start asking questions.
Start freeWe scope it, build the first version, and hand it over. Same platform, same ownership — we help you get there faster.
How revenue teams are building with AI — and the context that makes it work.
Real builds, real workflows, real outcomes. No fluff.
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