Airgram
Turn meetings into actionable insights with AI-powered transcription and automated summaries.
Turn every conversation into a searchable, actionable organizational knowledge base.
Hyperia is a high-performance AI meeting intelligence and knowledge management platform designed to capture and synthesize organizational dialogue. Unlike standard transcription services, Hyperia functions as a centralized 'memory' for teams, utilizing advanced Natural Language Processing (NLP) and vector-based semantic search to index video and audio data across Zoom, Microsoft Teams, and Google Meet. By 2026, Hyperia has positioned itself as a critical layer in the Enterprise AI stack, moving beyond simple summaries into complex 'Cross-Meeting Intelligence.' This allows users to query their entire historical conversation library to identify patterns in customer churn, product feedback, or internal decision-making. Its technical architecture prioritizes high-fidelity speaker diarization and context-aware action item extraction, ensuring that insights are not just captured but are immediately actionable within CRM and Project Management workflows. The platform is engineered for high-security environments, offering granular permissioning and robust PII redaction capabilities, making it a preferred choice for legal, healthcare, and financial services firms requiring deep audit trails of verbal communications.
Uses vector embeddings to allow users to search for concepts rather than just keywords (e.g., searching for 'customer frustration' without the word being mentioned).
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 across hundreds of recordings to identify emerging trends in market sentiment or product issues.
Extracts key data points (budget, timeline, authority) and maps them directly to CRM fields using LLM-based parsing.
Automatically identifies and masks sensitive data (credit cards, SSNs, personal phone numbers) in transcripts and audio.
Advanced diarization that recognizes specific internal stakeholders across different meetings.
Real-time analysis of talk-to-listen ratios and keyword triggers during the call.
Allows users to upload custom glossaries and industry-specific terminology to improve transcription precision.
Sales managers don't know why deals are stalling at the negotiation phase.
Registry Updated:2/7/2026
Hyperia generates a summary of the most effective rebuttals used by top performers.
Product managers are overwhelmed by conflicting feedback from various customer calls.
New hires take months to understand customer nuances and historical context.