Laxis
The AI-Powered Revenue Intelligence Platform for High-Velocity Sales Teams
AI-driven meeting intelligence to transform conversations into structured workflows and automated tasks.
MeetEcho is a next-generation AI meeting companion designed to eliminate the overhead of manual note-taking and administrative follow-ups. Built on a proprietary ensemble of Large Language Models (LLMs) and optimized for 2026 enterprise standards, MeetEcho offers high-fidelity multi-speaker transcription and deep semantic analysis. Unlike basic transcription tools, MeetEcho's technical architecture focuses on context-aware synthesis, allowing it to distinguish between casual conversation and binding commitments. Its 2026 market positioning emphasizes the 'Actionable Intelligence' layer—automatically syncing extracted tasks with project management platforms like Jira, Linear, and Monday.com. The platform utilizes advanced WebRTC protocols for seamless integration into Google Meet, Zoom, and Microsoft Teams without requiring intrusive bot participants in every scenario. By employing end-to-end encryption and local data residency options, MeetEcho caters specifically to regulated industries that require both high-level AI automation and strict data governance. Its predictive engine also analyzes meeting cadence and sentiment to provide team health metrics and efficiency scores, making it a critical tool for hybrid workforce management.
Uses RAG (Retrieval-Augmented Generation) to map meeting action items to existing project tickets in external tools.
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 vocal characteristics to accurately separate speakers even in rooms with multiple participants on one mic.
Visualizes the emotional trajectory of a meeting using NLP-based sentiment analysis.
Utilizes browser-based audio capture via extension to record without an 'AI Bot' visible in the call.
LLM-generated emails drafted in the user's voice based on meeting outcomes.
Aggregates data across multiple meetings to identify recurring themes or roadblocks.
Enables local processing of uploaded audio files for high-security environments.
Scrum masters manually documenting tickets and updates during high-speed planning sessions.
Registry Updated:2/7/2026
Sales reps missing crucial pain points while taking notes; poor CRM data entry.
Requirement for verbatim records with high-speed turnaround.