MeetingGenie
Transform raw conversation into structured organizational intelligence with AI-driven automated follow-ups.
Maximize meeting ROI with AI-powered video recording, transcription, and automated workflow triggers.
Meetgeek is a high-performance meeting automation platform designed to capture, transcribe, and analyze professional conversations at scale. Operating as a headless AI participant or via browser extensions, the platform leverages advanced speech-to-text (STT) engines and proprietary LLM layers to convert raw audio into structured knowledge. In the 2026 enterprise landscape, Meetgeek differentiates itself through its 'Meeting Insights' architecture, which uses sentiment analysis and keyword frequency to provide a macro-level view of team productivity and customer feedback trends. The technical infrastructure is built to support 30+ languages with high-fidelity speaker diarization, ensuring that individual contributions are accurately attributed in complex, multi-party environments. Its API-first approach allows for seamless data flow between meeting notes and enterprise resource planning (ERP) or customer relationship management (CRM) systems like Salesforce and HubSpot. By automating post-meeting administrative burdens—such as writing follow-up emails and updating task boards—Meetgeek enables high-output teams to focus on strategic execution rather than manual documentation, effectively turning every meeting into a searchable, actionable asset for the organization.
Aggregated analytics suite that calculates 'Meeting Health' scores based on silence ratios, talk-to-listen ratios, and sentiment variance.
Transform raw conversation into structured organizational intelligence with AI-driven automated follow-ups.
Transform Every Conversation into Structured Intelligence with Multi-Language AI Diarization.
The asynchronous collaboration platform for video, audio, and AI meeting intelligence.
Turn multi-modal meeting signals into structured engineering documentation and CRM-ready intelligence.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Direct mapping of AI-extracted action items and summaries into Salesforce Opportunity or HubSpot Deal objects.
Utilizes biometric voiceprinting to distinguish between multiple speakers in a single audio channel with 95%+ accuracy.
Allows users to upload industry-specific glossaries to improve STT accuracy for technical jargon.
Real-time processing engine that flags specific segments of a meeting based on pre-defined regex or keyword lists.
Vector-based search across all meeting transcripts in an organization's history, allowing for natural language queries.
Multi-user editing environment for post-meeting notes with timestamped internal commenting.
Sales reps forget critical customer pain points during high-volume outreach.
Registry Updated:2/7/2026
Action items discussed in standups are often lost or not tracked in Jira.
Biased or incomplete interview notes lead to poor hiring decisions.