One model reads every email and call against your pipeline and tells you the truth about each deal: why it's stalling, whether it'll close, which stakeholders aren't engaged yet, and the next move. It flags the deals you're about to lose, while you can still save them. Not another dashboard. Understanding.
Free trial at launch.
The champion stops replying. The close date slips a second time. You're still single-threaded, and the CRM still says "Commit." By the time it's obvious, the deal's gone. Reps can't see it; neither can their managers.
A deal sits 90 days in one stage. The notes say "following up." The real reason is buried in a dozen threads nobody re-reads, so it never gets fixed.
The close date moved twice and the buyer's gone quiet, but the forecast still counts it at full value. You find out at the end of the quarter.
One contact. No economic buyer, no champion. It feels fine, until they go dark and there's no one else to call.
The weekly pipeline review runs on stage names and optimism. The evidence — what the buyer actually said in the thread — never makes it into the room.
One multi-task model, conditioned on the full signal of each deal — the communication patterns, behavioral cues, firmographics and deal trajectory your CRM never captures. It tells you what your pipeline won't.
Why is this deal really stalling? Root cause and the exact signals behind it, single-threading, ghosting, a slipping close date, each cited to the message it came from.
A blind, per-deal prediction: will it close, what happens next, and how confident, grounded in the conversation, not the rep's optimism. "Commit, but single-threaded."
A specialized model designed for the structure of sales threads — cadence, commitment language, stakeholder coverage, momentum — not a general chatbot wrapper.
Every model capability, surfaced where reps and leaders work, with the same privacy guarantees end to end.
// Wire Clossara into Claude, Cursor, or your own agents { "mcpServers": { "clossara": { "command": "python", "args": ["-m", "mcp_server"], "env": { "CLOSSARA_API_KEY": "dk_•••" } } } } // then, from any agent: › analyze_conversation({ id: "globex-expansion" }) { "root_cause": "single-threaded; close date slipped 2×", "forecast": "likely loss (71%)", "next_move": "multi-thread to the VP of Eng", "cited": "message #14" }
Your instance ships a Model Context Protocol server. Connect Claude, Cursor, or your own agents and call Clossara's read-only intelligence tools — grounded, cited, and never sent to a third-party LLM.
Same model, same privacy, the agent gets the answer from your own isolated instance, not a shared cloud.
| Clossara | Shared-cloud AI tools | |
|---|---|---|
| Where your conversations go | Stay in your isolated, single-tenant instance | Sent to a shared multi-tenant cloud |
| The model at runtime | Your own private model, in your instance | A shared third-party LLM |
| Claims in the analysis | Cited to the source message | Unverified generation |
| Programmatic access | MCP server — read-only tools | Varies |
One model, growing from first touch to renewal, the same intelligence reading your conversations across the entire customer journey.
Clossara is opening access soon. Join the waitlist and we'll reach out when your instance is ready.