Laxis
The AI-Powered Revenue Intelligence Platform for High-Velocity Sales Teams
Turn every meeting into a structured knowledge base with high-fidelity transcription and autonomous insight extraction.
MeetLens is a next-generation meeting intelligence platform engineered to bridge the gap between synchronous communication and asynchronous action. Built on a proprietary pipeline utilizing OpenAI's Whisper v3 for transcription and Claude 3.5 Sonnet for semantic analysis, MeetLens provides real-time meeting capture across Zoom, Microsoft Teams, and Google Meet. By 2026, the platform has matured into a sophisticated 'organizational memory' tool, offering not just transcripts, but custom-prompted summaries that can be tailored to specific departmental needs—such as generating Jira tickets for engineering or CRM updates for sales. Its technical architecture prioritizes low-latency processing, typically delivering post-meeting analysis within 180 seconds of call termination. The platform's 2026 market position focuses on 'Contextual Awareness,' where the AI understands historical project data to provide deeper insights during live sessions. With robust end-to-end encryption and SOC2 Type II compliance, MeetLens targets mid-market to enterprise-level organizations looking to eliminate 'meeting amnesia' and significantly reduce the administrative overhead of manual note-taking and follow-ups.
Cross-references current meeting dialogue with previous meeting transcripts and uploaded documentation to provide context-aware summaries.
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.
Analyzes both audio tone and video facial expressions to graph emotional engagement throughout the session.
Uses function-calling to automatically create tasks in Jira, Linear, or Asana based on verbal agreements detected during the call.
Allows users to define custom logic for meeting post-processing using natural language instructions.
Automatically identifies and masks Personally Identifiable Information (SSNs, Credit Cards, Addresses) in transcripts.
Advanced voice fingerprinting that accurately identifies speakers even in rooms with multiple participants using a single microphone.
Real-time overlay of translated subtitles during the call across 40+ languages.
Sales reps missing crucial technical requirements while focusing on the conversation.
Registry Updated:2/7/2026
Scrum masters manually creating dozens of tickets post-meeting.
High cost and slow turnaround for certified legal transcripts.