Laxis
The AI-Powered Revenue Intelligence Platform for High-Velocity Sales Teams
Turn hours of meeting noise into minutes of actionable intelligence with AI-driven synthesis.
MeetDigest represents a sophisticated shift in the meeting intelligence market of 2026, moving beyond simple transcription into deep semantic synthesis. Its technical architecture utilizes a multi-model approach, typically leveraging a combination of Claude 3.5 Sonnet for logical reasoning and custom fine-tuned Whisper-v3 variants for high-accuracy multilingual diarization. Unlike first-generation meeting recorders, MeetDigest specializes in 'Cross-Meeting Contextualization,' which allows the AI to link discussions from a Tuesday strategy session to a Thursday execution sync automatically. The platform's 2026 market position is defined by its 'Privacy-First' edge, offering local encryption keys and SOC2 Type II compliance out of the box. It solves the chronic 'meeting fatigue' problem by generating hierarchical summaries that prioritize executive decisions over conversational filler. Technically, it operates through a headless browser bot or direct API integration with Zoom, Microsoft Teams, and Google Meet, processing audio streams in real-time to provide live tagging and sentiment monitoring. For lead-gen and sales teams, it acts as a passive CRM feeder, automatically updating contact records with discussed pain points and budget markers.
Uses vector embeddings to identify related topics across multiple past meetings to detect inconsistencies or progress.
The AI-Powered Revenue Intelligence Platform for High-Velocity Sales Teams
The All-in-One Collaboration Super-App Eliminating the 'Toggle Tax' with Native AI Integration.
AI-powered voice clarity and meeting productivity assistant for distraction-free communication.
The privacy-first AI meeting assistant that delivers executive-grade summaries without intrusive meeting bots.
Verified feedback from the global deployment network.
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NLP-based entity extraction identifies 'Pain Points', 'Budget', and 'Next Steps' to populate Salesforce fields.
Analyzing tonal frequency and NLP patterns to gauge the emotional temperature of participants.
Generates personalized follow-up drafts based on specific commitments made during the call.
Allows users to upload industry-specific glossaries to improve transcription accuracy for technical jargon.
Calculates meeting ROI based on talk-to-listen ratios and action item completion rates.
Low-latency translation of live audio streams into 50+ languages via API.
Sales reps forget specific client pain points during long discovery sessions.
Registry Updated:2/7/2026
Complex technical requirements discussed verbally are often missed in Jira tickets.
CEOs need to know the 'bottom line' without watching 60-minute recordings.