Turn Every Video Meeting Into Searchable Intelligence and High-Impact Customer Testimonials.
MeetReview represents the 2026 evolution of conversation intelligence, moving beyond simple transcription to active post-meeting asset generation. Architecturally, the platform utilizes a dual-model approach: a high-fidelity Whisper-derived engine for multi-speaker diarization and a specialized LLM layer (optimized for sentiment and intent) that extracts actionable business intelligence. Unlike standard note-takers, MeetReview specifically targets the feedback loop between sales/customer success and marketing by automatically identifying 'praise moments' and converting them into shareable video testimonials with AI-generated subtitles and branding. Its 2026 market position is solidified by its deep integration into the enterprise stack, offering not just data capture but autonomous CRM updates and automated follow-up sequences based on meeting sentiment. The platform's 'Zero-Config' logic allows it to join Zoom, Google Meet, and Microsoft Teams sessions invisibly, processing data locally when required for high-security environments, while providing global teams with a unified repository of customer voice data, structured through semantic search and cross-meeting trend analysis.
Uses facial recognition and sentiment analysis to identify and clip 30-60 second high-praise segments for marketing.
The persistent organizational brain that transforms conversational exhaust into structured institutional knowledge.
The AI-Driven Boardroom Intelligence and Governance Platform.
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.
Vector-based indexing of all past meetings allowing users to query topics across years of conversations.
Real-time analysis of talk-to-listen ratios and sentiment spikes during the call.
Extracts budget, authority, need, and timeline (BANT) data directly into CRM fields via NLP.
Support for 50+ languages with automated translation of summaries into English.
Algorithmically generates a 1-100 score based on participant engagement and next-step clarity.
Auto-redaction of sensitive PII (Personally Identifiable Information) from transcripts.
Valuable negotiation details are lost between the call and the CRM update.
Registry Updated:2/7/2026
Product managers lack direct access to customer pain points discussed in support calls.
Getting customers to record formal testimonials is difficult and expensive.