Laxis
The AI-Powered Revenue Intelligence Platform for High-Velocity Sales Teams
The AI Intelligence Layer for Autonomous Meeting Workflows and CRM Automation
MeetRune (commonly referred to as Rune) represents the 2026 frontier of Meeting Intelligence Platforms, moving beyond simple transcription into the realm of 'Autonomous Post-Meeting Operations.' The technical architecture utilizes a proprietary RAG (Retrieval-Augmented Generation) framework that indexes cross-meeting context, allowing it to provide longitudinal insights that traditional recorders miss. By mid-2025, MeetRune integrated deep multi-modal analysis, processing not just audio but screen-share visual data to correlate verbal promises with visual demonstrations. It operates as a headless agent that joins Zoom, Microsoft Teams, and Google Meet, utilizing advanced speaker diarization to attribute action items with 98.7% accuracy. Its market positioning for 2026 focuses on the 'Action Gap'—the latency between a meeting ending and CRM data entry—effectively reducing this to near-zero through native integrations with Salesforce, HubSpot, and Jira. For Enterprise users, Rune offers a self-healing metadata layer that ensures meeting notes are categorized according to specific corporate taxonomies and compliance requirements.
Uses vector embeddings to index historical meeting data, allowing users to query 'What were the recurring objections in Q3?' across hundreds of hours of video.
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.
Post queries, share implementation strategies, and help other users.
AI analyzes shared screens to verify if the verbal discussion matches the slide content or product demo shown.
LLM identifies specific deal values, competitors mentioned, and timelines to update Salesforce objects automatically via API.
Analyzes tonal frequency and linguistic patterns to predict churn risk or purchase intent.
Simultaneously identifies speakers in 40+ languages with automatic translation of the final transcript.
Deep-learning model identifies and masks sensitive data (credit cards, IDs) in transcripts and video before storage.
Bypasses common bot-detection by using high-fidelity headless browser instances for meeting entry.
New hires take months to learn how top reps handle objections.
Registry Updated:2/7/2026
Product managers miss crucial user feedback buried in hours of sales calls.
Regulatory requirements demand precise recording of patient-doctor interactions.