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Tempo is your organization’s GTM intelligence layer. It reads from the systems you already use, turns what it finds into cited observations, and serves that intelligence to any AI platform, agent, or workflow your team works in. Connections are how context gets in. Every source you add makes the intelligence layer more complete, and the more complete it is, the less your team has to reconstruct by hand.

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What each connection unlocks

Each layer builds on the one before it. Some connections need administrator approval in your organization. We are here to help make that happen.

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The core context stack

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Your AI platform

Sources: Claude, ChatGPT, or any other client through the MCP connector. This is where your sellers talk to Tempo. The MCP connector exposes purpose-built tools: get deal state, search cited observations, list meetings, review pending CRM updates, run a Skill. Ask Claude to prep you for your 2pm, and the answer is grounded in your actual deal.

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Your CRM

Sources: Salesforce, HubSpot, or a CSV import. Your CRM tells Tempo what your deals are. Tempo ties every call, email, and conversation to the deal it belongs to, proposes CRM updates with citations back to the source, and keeps a real-time picture of each deal’s state.
How Tempo writes to your CRM is set per field. Manual generates no proposals, Suggest holds a proposal for review before anything is written, and Automatic applies the update without review. See Fields and CRM objects for the full rules, including what applies without review.
If you cannot connect a CRM yet, a CSV import gets your deals into Tempo today. You can connect Salesforce or HubSpot later.

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Call transcripts

Sources: Granola, Gong, Fathom, and Google Meet transcripts through Google Workspace. Transcripts hold the exact words your customer used and the commitments your champion made. Tempo pulls them in, extracts observations, and links them to the right deal.

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Email and calendar

Sources: Gmail and Google Calendar. Email carries the parts of a deal that never make it onto a call: procurement threads, security reviews, pricing clarifications. Calendar tells Tempo who you are meeting and when.

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Conversations and docs

Sources: Slack and Notion. Slack channels linked to a deal bring in the day-to-day conversation around it. Any member can connect Slack reader access to link private channels and group DMs to deals they own. Notion pages linked to a deal bring in deal plans, account notes, and handoff docs.

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Warehouse

Sources: BigQuery. If your team already replicates call and CRM data into BigQuery, Tempo can read it from there with a read-only connection.

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How Tempo treats your data

  • Read-first by default. Tempo reads from your systems to build context. The writes it makes back to your CRM follow the update behavior set on each field.
  • Your data is yours. We do not train foundation models on it.
  • Scoped access. Each integration page lists the exact scopes Tempo requests and what it does with them.
  • Tempo does not send email. Tempo reads mail to build context. It has no path that sends mail on your behalf.
Some CRM writes happen without a review step. See Your data for the precise list.

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Ready to connect

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Context sources

Salesforce

Sync opportunities, accounts, and contacts from Salesforce.

HubSpot

Sync deals, companies, and contacts from HubSpot.

CSV import

Upload your opportunities directly if you cannot connect a CRM yet.

Google Workspace

Connect Gmail, Calendar, and Meet transcripts.

Granola

Bring in meeting notes and transcripts from Granola.

Gong

Pull call recordings, transcripts, and Spotlight AI content from Gong.

Fathom

Pull meeting recordings, transcripts, and AI summaries from Fathom.

Slack

Capture conversation context from channels tied to your deals.

Notion

Sync page content linked to your opportunities.

BigQuery

Read call and CRM data replicated into your warehouse.

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AI platforms

Claude

Talk to Tempo inside Claude for deal-grounded answers.

ChatGPT

Use ChatGPT as your interface to Tempo.

MCP connector

Connect Tempo to any AI platform over Model Context Protocol.