Airgram
Turn meetings into actionable insights with AI-powered transcription and automated summaries.
Turn meeting conversations into structured data and automated executive summaries.
MeetQ is a next-generation AI meeting intelligence platform designed to bridge the gap between verbal communication and operational workflows. As of 2026, MeetQ leverages advanced transformer-based architectures to perform real-time speaker diarization and intent extraction across over 50 languages. The platform is engineered for the high-compliance enterprise, offering end-to-end encryption for voice data and locally-processed PII masking. Its primary differentiator lies in its 'Contextual RAG' engine, which allows users to query their entire meeting history using natural language, effectively turning past conversations into a searchable corporate knowledge base. Unlike basic transcription tools, MeetQ identifies semantic commitments, distinguishing between a casual suggestion and a project requirement, and automatically syncs these to project management tools like Jira or Linear. By 2026, its market position has shifted toward a 'Workflow Orchestrator', where the tool doesn't just record meetings but triggers automated email sequences and CRM updates based on the verbal cues captured during the call.
Uses NLP to identify 'promises' made during meetings and assigns deadlines based on context.
Turn meetings into actionable insights with AI-powered transcription and automated summaries.
Transform long-form video content into actionable technical abstracts and structured knowledge bases.
The world's highest accuracy AI assistant for instantly summarizing videos, lectures, and documents.
Transform meeting noise into actionable intelligence with AI-driven knowledge synthesis.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Aggregates data from multiple meetings into a single thematic report using vector database retrieval.
Low-latency translation engine ( < 200ms) for multi-lingual global teams.
Visualizes the emotional 'temperature' of a meeting second-by-second based on voice tone and word choice.
Allows users to upload technical whitepapers to improve transcription accuracy for niche terminology.
Parses conversations to fill specific CRM fields like 'Budget', 'Authority', 'Need', and 'Timeline'.
An invisible bot mode that records and analyzes without being a visible participant in the video grid.
Sales reps forget to log specific client pain points into Salesforce.
Registry Updated:2/7/2026
Engineering tasks discussed in planning don't make it into the ticket backlog.
Subjective interview notes lead to biased hiring decisions.