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Claap

COLLAB
Velocity6.3

Claap turns calls into promptable columns — and hands the whole table to your agent over MCP.

revenue-intelligencemeeting-aimcpcrm-enrichmentstructured-datadeal-timeline
Current state
Claap is a meeting recorder that has spent this window becoming a structured data layer for revenue teams. AI Fields, shipped in July, lets a user write a prompt and get a typed column — a rating, a status, a text value — computed across every call in a meeting or deal view, auto-run on new calls and synced to the CRM. The month before, those same tables and columns were made readable by Claude and any other MCP client, and field enrichment gained deeper HubSpot targets. Around that core sit capture and reporting expansions: mobile apps for in-person meetings, automatic capture of contact email alongside calls, and Deal and Company reports built on the conversation record rather than the CRM stage.
Where it's heading
The arc is unusually consistent — every release widens the input corpus or sharpens the output schema. Calls, then email, then in-person meetings recorded on a phone all flow into one deal timeline; on the other side, insights hardened into typed columns, then into user-defined prompted columns, then into something an external agent can read directly. That last move matters most: Claap is positioning as a source its customers' own AI reads, not only a dashboard people open, which is a different competitive posture than a call recorder that keeps its analysis inside its own UI. The feed also emits duplicate posts for several releases, so raw entry counts overstate the shipping cadence.
Prediction
The next step suggested by these entries is writing rather than reading — AI Fields that trigger actions or CRM updates on a computed value, not just sync a column — since the prompt, the schedule and the CRM connection are all already in place.

Recent moves

  1. 20d ago

    AI Fields: turn every call into structured data

    ⚡ SPARK

    AI Fields replaces the fixed Insights feature with user-written prompts that produce typed columns across a whole meeting or deal view. It is the schema half of the arc described above reaching its natural end point: the customer, not Claap, now defines what gets extracted from every conversation.

  2. 1mo ago

    Claap now captures your contact emails

    With a CRM connected, Claap now pulls the emails exchanged with a contact into the same timeline as calls and meetings, and into what its AI and MCP clients can see. It widens the input corpus rather than the output schema, but it is what makes the deal timeline claim credible — most of a deal happens in writing between calls.

  3. 2mo ago

    Claap goes mobile

    Mobile apps land on both iOS and Android, covering recording of in-person meetings, AI summaries, calendar and Claap AI from a phone. In-person conversations were the last major gap in the timeline Claap wants to be complete.

  4. 2mo ago

    Claap goes mobile

    The Android-first announcement of the same mobile launch, superseded five days later when iOS shipped. A near-duplicate post rather than a separate release — this feed publishes several of these, which inflates its apparent cadence.

  5. 2mo ago

    MCP insights & deeper HubSpot enrichment

    ⚡ SPARK

    Smart tables and AI columns become readable by Claude and any MCP client, and field enrichment gains HubSpot Meetings, Calls and Leads as targets. This is the substrate AI Fields would later ship on top of: first the tables were opened to outside agents, then the columns themselves were made promptable.

  6. 2mo ago

    Deal Report, Company Report & a refreshed Meeting Report

    New Deal and Company reports assemble the full account story from the conversation record rather than the CRM stage, alongside a cleaner Meeting Report layout. Reporting built on Claap's own timeline rather than reflecting the CRM's view is the presentation-layer version of the same independence the MCP and AI Fields work pursues.