Laxis
The AI-Powered Revenue Intelligence Platform for High-Velocity Sales Teams
MeetArchive is a sophisticated meeting intelligence platform engineered to transform ephemeral oral communication into structured, searchable digital assets. Its technical architecture leverages high-fidelity WebRTC capture to record sessions across Zoom, Microsoft Teams, and Google Meet with sub-100ms latency. In the 2026 market landscape, MeetArchive distinguishes itself through its proprietary 'Cross-Context Indexing' engine, which doesn't just transcribe audio but maps concepts across months of meeting history to identify recurring themes, technical debt, or shifting project requirements. The system utilizes advanced Large Language Models (LLMs) to generate multi-dimensional summaries, including technical action items, sentiment heatmaps, and executive brief versions. By integrating deep with corporate data lakes, it serves as a semantic bridge between verbal decisions and formal documentation. Its positioning is centered on 'Knowledge Continuity,' ensuring that institutional memory remains intact despite personnel turnover. The platform provides granular permissions, enterprise-grade encryption for PII masking in transcripts, and a robust API for secondary data processing, making it a critical component for distributed engineering and product teams requiring high-fidelity audit trails and automated workflow triggers.
Maps entities and topics mentioned across all historical meetings to create a visual graph of team knowledge.
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.
Uses Optical Character Recognition to index text appearing in screen shares during video recordings.
Advanced neural network to distinguish between up to 15 different speakers with 98% accuracy.
Analyzes tonal frequency and NLP markers to gauge meeting 'vibe' in real-time.
Automatically pushes meeting summaries and action items into specific Salesforce/HubSpot deal stages.
Allows Enterprise clients to upload their own datasets to train the transcription model on niche industry jargon.
AI-suggested video snippets based on key decision-making moments in the transcript.
Knowledge loss when a deal moves from SDR to Account Executive.
Registry Updated:2/7/2026
Action items discussed in 'Retros' are often forgotten by the next sprint.
Synthesizing dozens of user interview hours is time-consuming.