Connect CRM, calls, email, calendar, Slack, and the business context around your revenue motion once. Clearskies resolves the context underneath Claude, ChatGPT, and your internal tools — so every brief, workflow, and analysis works from the full picture.
“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.”
— Jake Olsen, CEO at Stratus
Every custom MCP server, script, and API path becomes something your best operator has to monitor, debug, and keep alive.
Every few months, a new model takes the lead. Your context should outlive any one of them.
When a model queries individual connectors, the picture comes back in fragments. It fills the gaps with what sounds right — not what's actually in the data.
Connectors solve access. They do not solve context. They can work for one-meeting tasks, like drafting a follow-up email from the last call. They break down when the work spans many deals, reps, activities, and months.
Connectors hand the model fragments. A probabilistic model still has to infer which records, activities, and signals belong to the same customer story. Small misses compound into confident answers built on the wrong foundation.
Five mostly-right reconstruction steps can still leave nearly one in four answers built on a flawed chain.
Every prompt spends tokens rebuilding context that should already exist: account history, activity maps, timelines, notes, call evidence, and Slack threads. The next prompt pays that tax again.
Illustrative: if an answer requires 18k tokens of retrieved context and 2k tokens of reasoning/output, roughly 90% of the work is context assembly.
Every MCP server, API path, auth scope, schema change, and field mapping becomes infrastructure someone has to monitor. When it breaks, the answer breaks with it.
“Our Salesforce MCP stopped working. We spent three days of 12-hour days trying to figure it out, and it pulled our VP RevOps off other work.”
Before a model answers, Clearskies resolves the context around the work: accounts, deals, people, activities, timelines, sales process, team structure, product lines, and more. Every AI tool works from the full picture.
Every AI workflow starts from the same context, so Claude, ChatGPT, and internal agents do not drift by tool, user, or prompt.
Research win/loss patterns, objection trends, and segment performance across many deals, reps, and months of activity.
Clearskies carries your sales process, team structure, product lines, territories, and operating rules into every AI workflow. No tribal knowledge trapped in individual prompts or skills.
Clearskies is not another place to work. It is the context layer beneath the AI tools and workflows your team already uses.
Research why you win, why you lose, which objections cost deals, and what changed in a segment across months of calls, emails, CRM notes, Slack threads, and deal outcomes.
Full briefing before every meeting — deal history, recent emails, Slack threads, past call highlights. One view.
Real silence detection across every channel. Champion dark for 2 weeks? You'll know.
Coaching moments surfaced from actual calls, tied to deal outcomes. Specific, evidence-based feedback.
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 across calls, emails, and CRM. Not rep self-reporting.
The AI tools your team uses will keep changing. The context layer shouldn’t. Keep using Claude, ChatGPT, Slack, and your internal tools. Clearskies keeps the revenue context complete, current, and queryable.
CRM, calls, email, calendar, Slack, plus business context like sales process, team structure, territories, and product lines. No custom engineering. Takes minutes.
See every supported integrationClearskies creates your context graph: identities resolved, relationships mapped, activities linked, continuously updated, and connected to your process, team, and business context.
Run deep research, build workflows, deploy agents — with any AI tool. Every answer is built from complete context, with sources cited.
Connect your systems in minutes, layer in your business context, and start building on the full picture. No long integration project. No connector babysitting.
Keep ownership of your data and context. Clearskies is model-agnostic, with no vendor lock-in and no extraction fees.
Usage-based pricing ties spend to workflows, not headcount, so you can roll AI across the team without per-user license costs.
Permissions, audit trails, and source-level controls follow your existing data rules, so AI workflows do not create a shadow access layer.
We know revenue workflows because we’ve lived in them. We’ve spent years building for sellers, sales leaders, and RevOps teams. Clearskies carries that practical fluency into the AI context layer.
Bring one workflow, one hard question, or one analysis you don't fully trust today. We compare it against Clearskies working from complete context.
Book side-by-sideConnect your data and start building with complete revenue context. Works with Claude, ChatGPT, and more.
Get startedWe scope, build, and iterate alongside your team. Same platform, same ownership — we just help you get there faster.
Real builds, real workflows, real outcomes. No fluff.
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