Laxis
The AI-Powered Revenue Intelligence Platform for High-Velocity Sales Teams
The Orchestration Layer for Enterprise Meetings and Action-Driven Intelligence
MeetConductor is a high-performance meeting orchestration platform designed to bridge the gap between synchronous communication and asynchronous productivity. By 2026, it has established itself as the preferred middleware for organizations using Zoom, Microsoft Teams, and Google Meet, moving beyond simple transcription into the realm of 'Predictive Meeting Intelligence.' The architecture leverages a proprietary LLM ensemble that cross-references meeting dialogue with historical project data from Jira, Salesforce, and GitHub to provide contextual summaries that are execution-ready. Unlike basic transcription tools, MeetConductor focuses on the 'Orchestration' aspect—automatically assigning tasks to stakeholders based on verbal commitments and tracking completion status within its own dashboard. Its technical stack utilizes low-latency WebSocket connections for real-time sentiment analysis and high-fidelity audio processing via specialized Whisper-derivative models. This ensures high accuracy in multi-speaker environments with heavy technical jargon. Positioned for the mid-to-large enterprise market, MeetConductor provides robust administrative controls, data residency options, and custom fine-tuning of its extraction models to align with specific industry lexicons.
Automatically pushes extracted action items into Jira or Asana based on conversational context and project tagging.
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 acoustic fingerprinting to accurately identify up to 15 distinct speakers even in low-bandwidth audio scenarios.
Builds an internal graph of discussed topics over months to show project evolution and recurring bottlenecks.
AI-powered redaction of PII (Personally Identifiable Information) during the recording process.
Analyzes previous meeting outcomes to suggest the most efficient agenda for follow-up calls.
Aggregates insights from a series of meetings to produce a high-level weekly status report.
A fine-tuned version of OpenAI's Whisper model optimized for corporate jargon and varied accents.
Sales reps forget to log critical pain points into CRM after high-volume discovery calls.
Registry Updated:2/7/2026
Daily standups are often unorganized and blockers are missed.
High cost of manual court reporting and slow turnaround for transcripts.