Laxis
The AI-Powered Revenue Intelligence Platform for High-Velocity Sales Teams
Transform spoken dialogue into structured data with enterprise-grade transcription and RAG-powered meeting intelligence.
MeetScribe is an advanced AI meeting intelligence platform designed for the 2026 decentralized workforce. Its technical architecture leverages OpenAI's Whisper v3 for high-fidelity transcription, coupled with a proprietary Retrieval-Augmented Generation (RAG) framework that enables users to query their entire meeting history using natural language. Unlike standard transcription tools, MeetScribe utilizes multi-speaker diarization and sentiment analysis to identify not just what was said, but the underlying emotional context and decision-making drivers. Its 2026 market positioning focuses on 'Conversational Data Assets,' treating every meeting as a structured database entry rather than just a recording. The platform integrates seamlessly with major Video Conferencing (VC) stacks via bot-less injection or API-based ingestion, providing low-latency summaries, automated Jira/Linear ticket generation, and cross-meeting trend analysis. For security-conscious enterprises, it offers VPC deployment options and zero-data-retention pipelines, ensuring that sensitive corporate intellectual property remains protected while still benefiting from Large Language Model (LLM) synthesis capabilities.
Uses vector embeddings to allow users to search for concepts across years of meeting data rather than just keywords.
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.
Identifies verbal commitments and automatically maps them to Jira/Linear schemas using GPT-4o based reasoning.
Combines vocal tonality analysis with semantic text analysis to map the emotional arc of a conversation.
Automatically segments recordings into logical chapters based on topic shifts detected via LLM clustering.
Allows users to upload technical dictionaries or product lists to the STT engine for 99% accuracy on niche terms.
Streams translated captions in 50+ languages during live calls with <500ms latency.
Statistical breakdown of speaker participation percentages and engagement metrics.
Sales reps forget crucial prospect pain points during busy weeks.
Registry Updated:2/7/2026
Analyzing dozens of user interviews takes weeks of manual work.
Difficulty in tracking exact voting outcomes and formal resolutions.