Clearskies

Stop buying agents.
Start building them.

Clearskies is AI infrastructure for revenue teams that build. Unify your CRM, calls, email, calendar, and Slack into a single customer context graph — then build agents that work with context, not just prompts.

The shift

Building custom sales agents is becoming more impactful than using AI from legacy SaaS vendors.

"A single GTM engineer at Vercel reduced a 10-person sales team to 1 in just 6 weeks."

"Building your own AI sales tools may beat buying off-the-shelf software."

— Lenny Rachitsky, interviewing Jeanne DeWitt Grosser

Former CBO at Stripe, now COO at Vercel

The difference

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.

Individual Connectors
CRMCallsEmailCalendarSlackAIAIAIAIAI?
Five queries. AI guesses how they connect.
Unified Context Graph
CRMCallsEmailCalendarSlackAI
One pre-resolved graph. Full picture on every question.

How it works

01

Unify your data

Connect your CRM, calls, emails, calendar, and Slack customer interactions into a single Customer Context Graph. Your agents work with complete context, not fragmented data.

02

Build your agents

Start from pre-built agents or build from scratch. Go from idea to production in minutes, not months.

03

Deploy securely

Full data ownership, enterprise-grade security, and no vendor lock-in.

04

Improve continuously

Monitor performance, test AI outputs, gather feedback, and assess adoption. Ship fast and iterate even faster.

What revenue teams are building

Deal loss analysis

A RevOps team built an agent that analyzes why deals were lost — looking across calls, emails, CRM notes, and Slack threads to surface what no single system could.

Automated CRM updates

A sales ops team built an agent that updates CRM fields after every customer interaction — with high-quality outputs, exactly the way they defined them.

Post-call coaching

A sales enablement team built an agent that delivers detailed coaching after every call — what the rep did well, what to improve, and specific suggestions for next time.

Deal qualification

A revenue team built an agent that assesses any deal in their pipeline against their own criteria and established methodologies like MEDDPICC, SPICED, and others.

Pre-call briefs

A sales team built an agent that prepares a full briefing before every call — pulling deal history, recent emails, Slack threads, and past call transcripts into one view so reps walk in ready.

Risk detection across pipeline

A GTM team built an agent that surfaces risk signals across deals in the pipeline at the end of each week — true visibility for Sales Leadership.

Give Claude your full customer context

Connect Clearskies to Claude as an MCP server — so your team can ask cross-system questions directly inside Claude, with full context from your CRM, calls, email, and Slack.

Learn more

Get started

Build with your team

Use the platform to ship agents on your own timeline. Full access to the Customer Context Graph, pre-built agents, and no vendor lock-in.

Start building

Build with us

We scope, build, and iterate alongside your team. Same platform, same ownership — we just help you get there faster.

Newsletter

An inside look at how top GTM engineers build custom sales agents.

No fluff—just real builds, real workflows, and lessons you can steal.

Subscribe on Substack