MeetDirector
The AI-Driven Boardroom Intelligence and Governance Platform.
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.
Maps extracted entities into a vector-based graph to show relationships between meetings over time.
The AI-Driven Boardroom Intelligence and Governance Platform.
Turn Every Video Meeting Into Searchable Intelligence and High-Impact Customer Testimonials.
Transforming enterprise meeting metadata into high-velocity lead intelligence and CRM-ready pipeline.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
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.
Sales managers cannot shadow every call to ensure methodology compliance.
Registry Updated:2/7/2026
Product managers spend hours manually tagging user feedback from interview videos.
Board members need concise updates on project blockers across 10 departments.