The persistent organizational brain that transforms conversational exhaust into structured institutional knowledge.
MeetKernel is a sophisticated AI knowledge extraction layer designed for the 2026 enterprise landscape, where meeting data is treated as a primary asset rather than a transient event. Unlike standard transcription tools, MeetKernel utilizes a proprietary RAG (Retrieval-Augmented Generation) architecture to map every internal and external conversation into a dynamic, semantic knowledge graph. Its technical stack leverages multi-modal LLMs to capture not just text, but sentiment, subtext, and technical specifications, bridging the gap between synchronous communication and asynchronous documentation. By 2026, MeetKernel has positioned itself as the 'Kernel' of the enterprise stack, serving as the central repository that feeds updated context into CRMs, Project Management tools, and ERP systems. It prioritizes data privacy with edge-based PII scrubbing and offers sophisticated identity verification for multi-party stakeholder meetings. The platform's ability to perform cross-meeting synthesis allows leadership to identify pattern-matching across disparate sales calls or product feedback loops without manual intervention, significantly reducing knowledge silos in remote-first and hybrid organizations.
MeetKernel is a sophisticated AI knowledge extraction layer designed for the 2026 enterprise landscape, where meeting data is treated as a primary asset rather than a transient event.
Explore all tools that specialize in semantic indexing. This domain focus ensures MeetKernel delivers optimized results for this specific requirement.
Maps extracted entities into a vector-based graph to show relationships between meetings over time.
Parses sales calls for BANT/MEDDIC criteria and updates CRM records without human input.
Analyzes vocal cues and speech patterns to determine stakeholder alignment and stress levels.
Aggregates data from 100+ meetings to identify macro-trends in customer feedback.
Detects and masks sensitive data (credit cards, PII) in transcripts and audio at the edge.
A chat interface that allows users to query their entire meeting history (e.g., 'What did we decide on the logo in March?').
Provides live HUD-style prompts to sales reps based on trigger words used by prospects.
OAuth2 Authentication with Google Workspace or Microsoft 365 calendar.
Configuration of domain-wide recording permissions via Admin Console.
Setup of 'Kernel Bot' naming conventions and meeting entry triggers.
Mapping of custom CRM fields for automated data ingestion.
Definition of 'Focus Keywords' and 'Technical Entities' for specialized indexing.
Integration of Slack/Teams webhooks for real-time post-meeting notification.
Initial sync of historical meeting recordings (optional for baseline knowledge graph).
User role assignment (Admin, Editor, Viewer) and department grouping.
Configuration of PII scrubbing and data retention policies.
Final validation of API keys for custom knowledge base exports.
All Set
Ready to go
Verified feedback from other users.
"Highly praised for its deep integration with CRMs and the quality of its knowledge graph, though some find the enterprise pricing steep."
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