Claap 2.0

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Claap 2.0
Call analytics Freemium

What is Claap 2.0?

Claap 2.0 is an AI-powered conversation intelligence platform that captures every sales interaction—Zoom, Teams, phone, and in-person—without a bot joining the room. This eliminates the trust-killing creepiness of traditional notetakers while ensuring zero blind spots. Multilingual transcription across 99+ languages captures conversations in their native tongue, preserving nuance and context.

Claap’s AI automatically generates structured notes, updates CRM fields (including custom ones), and scores deals against methodologies like SPICED, MEDDIC, or BANT. This means your CRM finally reflects what actually happened on the call, with zero manual entry. Built-in agents draft follow-ups, surface risks, and provide real-time coaching feedback, saving teams 2-10 hours per person per week.

Beyond internal use, Claap feeds structured, labeled data to any external AI agent via MCP (Model Context Protocol). Whether you use Claude, ChatGPT, or lemlist, Claap powers smarter outbound campaigns, generates decks, or builds competitive battlecards in seconds. This agent-ready data is pre-labeled and enriched, unlike raw transcripts or legacy platforms like Gong that lock insights behind their UI.

Use cases span sales enablement, CRM enrichment, and AI workflow automation. Sales managers gain real visibility into rep performance through scorecards and call reviews, identifying skill gaps and sharing best practices grounded in real calls, not gut feelings. Reps receive automated coaching that pinpoints where they lost deals, helping them improve faster.

Technical highlights include seamless integration with major meeting platforms, email capture, and MCP support for external AI agents. The platform processes conversations in real-time, extracting structured data like action items, objections, and buying signals. With Claap, every conversation becomes a strategic asset, fueling AI agents with the context they need to act intelligently.

Who is it for?

sales teams, revenue operations, customer success managers, sales enablement, marketing teams, product managers, AI developers

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