Jamie
The privacy-first AI meeting assistant that delivers executive-grade summaries without intrusive meeting bots.
Updated 13d ago
PricingFreemium
Free to $96/yr
Automated meeting summarization
Action item extraction
Multilingual transcription
MeetFlux
4.8
Free Users praise the platform for its high transcription accuracy and the unique ability to query across a year's worth of meetings.
Transform raw meeting audio into structured institutional intelligence using RAG-powered synthesis.
Free pricingAPI availableUpdated 2026-03-17
Best fits
Automated meeting summarizationCross-meeting semantic search
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About MeetFlux
MeetFlux is a sophisticated meeting intelligence platform engineered for the 2026 enterprise landscape, focusing on deep contextual understanding rather than simple transcription. Its architecture utilizes a proprietary multi-modal processing engine that integrates high-fidelity diarization with Retrieval-Augmented Generation (RAG). This allows MeetFlux to not only summarize a single meeting but to cross-reference discussions across an organization's entire meeting history. The system supports low-latency processing of audio streams from Zoom, Microsoft Teams, and Google Meet, applying advanced LLMs like Claude 3.5 and GPT-4o for nuanced semantic extraction. MeetFlux distinguishes itself by offering a 'Knowledge Graph' feature, which maps relationships between mentioned entities, projects, and stakeholders over time. Designed for high-security environments, it provides optional local-inference for sensitive industries and strictly adheres to zero-data-retention policies for AI training. As organizations shift toward asynchronous-first work cultures, MeetFlux acts as the primary bridge, ensuring that every verbal decision is transformed into a searchable, actionable, and permanent record that integrates directly into modern ERP and CRM systems.
Core Capabilities
MeetFlux is a sophisticated meeting intelligence platform engineered for the 2026 enterprise landscape, focusing on deep contextual understanding rather than simple transcription.
