Turn every conversation into a structured knowledge asset with predictive conversational intelligence.
MeetLogic is a sophisticated conversational intelligence platform engineered to transform raw meeting audio and video into structured, actionable data for enterprise teams. Utilizing a proprietary stack of Large Language Models (LLMs) and advanced Natural Language Processing (NLP), MeetLogic moves beyond simple transcription to provide deep semantic analysis of sales calls, internal stand-ups, and customer success interactions. By 2026, its market position is defined by its 'Predictive Deal Intelligence' engine, which correlates verbal signals and sentiment trends with historical CRM data to forecast closing probabilities. The technical architecture supports multi-modal ingestion from major conferencing platforms (Zoom, Teams, Meet) and applies rigorous diarization to distinguish between speakers accurately. Its core value proposition lies in the automation of the 'post-meeting' lifecycle—automatically updating CRM fields, generating follow-up emails in the user's voice, and flagging risks such as competitor mentions or budget objections without manual intervention. Designed for high-compliance environments, it offers robust data sovereignty controls, making it a preferred choice for legal, financial, and healthcare sectors requiring meeting auditability.
Uses Bayesian probability models to analyze meeting sentiment and velocity against closed-won historical data.
Transforming unstructured customer sentiment into actionable product intelligence with Generative NLP.
Transform every agent into an expert with real-time generative intelligence for the contact center.
Turn meeting chaos into a structured intelligence library for high-performing teams.
Turn every conversation into a structured knowledge base with AI-driven meeting intelligence.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Extracts specific data points like budget, timeline, and authority (BANT) and writes them directly to CRM objects via API.
Generates personalized follow-up emails that mimic the user's historical writing style and tone.
Vector-based search across the entire meeting repository, allowing users to find specific visual slides or spoken phrases.
Displays 'Battlecards' on-screen during live calls when a competitor or specific objection is mentioned.
High-fidelity speaker identification that functions even in poor audio conditions or multi-speaker overlapping segments.
Automatically identifies and redacts PII/PHI (Personally Identifiable Information) from transcripts and recordings.
Account Executives forget to ask key qualifying questions, leading to weak pipelines.
Registry Updated:2/7/2026
Valuable product feedback from customers gets lost in sales transcripts.
CSMs lack context on what was promised during the sales cycle.