Clearskies connects every system that touches your customer, resolves identities across them, and gives any AI the complete picture through a single connection.
When you connect Claude or ChatGPT to Salesforce, Gong, email, and Slack separately, your AI gets four disconnected views. It has to figure out — every single time — that sarah.kim@acme.com in email, Sarah Kim on a Gong call, and @sarah.kim in Slack are the same person, in the same deal.
That burns tokens, takes time, and gets it wrong. Every query starts from scratch. And no individual connector can tell you what’s missing — because it only sees its own data.
sarah.kim@acme.com, Sarah Kim on a Gong call, and @sarah.kim in Slack become one person — automatically. Across every source, every deal, every account. Resolved once, not re-guessed on every query.
Every interaction ordered chronologically. The full story of every customer, every deal, every relationship. Not scattered across five tools — one coherent timeline.
Not just what’s there — what’s missing. A champion who went dark. A deal with no email activity in 14 days. A follow-up that never happened. The context graph surfaces absence, not just presence.
Ask a question about a deal and get an answer built from CRM + calls + email + Slack + calendar. Every source contributing. Every answer citing its sources. One question, full picture.
CRM (Salesforce, HubSpot), call transcripts (Gong), email (Gmail, Outlook), calendar, Slack. No custom engineering required. No field mapping. Takes minutes.
Clearskies ingests your data, resolves entities, maps relationships, and links activities across every system. One coherent customer graph, continuously updating.
Add Clearskies as an MCP server in Claude, connect it to ChatGPT, or use our API. Your team’s AI now has full customer context, ready to query.
| Individual connectors | Context Graph | |
|---|---|---|
| Cross-system questions | AI pieces it together ad hoc | Relationships already resolved |
| Entity resolution | You build and maintain it | Handled for you |
| Setup | Configure and maintain each connector | Connect once, unified automatically |
| Maintenance | Fix each connector when APIs change | Managed for you |
| Gap detection | Not possible (each connector sees only its own data) | First-class feature |
| Token efficiency | 5–15 retrieval calls, 50–100K tokens per query | Pre-computed graph, ~2K tokens |
| Consistency | Non-deterministic (different results each time) | Same answer every time |
Claude, ChatGPT, Gemini, or your own tools. One context layer, any AI.
No vendor lock-in. No extraction fees. Reads from and writes to your data warehouse.
Every answer cites which calls, emails, CRM fields, and Slack threads were used. Every answer flags what’s missing.
Usage-based pricing. Add your whole team without per-seat costs.
SOC 2 compliant. Your data is encrypted in transit and at rest.