Laxis
The AI-Powered Revenue Intelligence Platform for High-Velocity Sales Teams
Transform disorganized meeting chaos into structured, searchable intelligence with AI-driven transcription and insights.
MeetQuill is a high-performance AI meeting intelligence platform engineered for the 2026 enterprise landscape. It leverages advanced Large Language Models (LLMs) and specialized Automatic Speech Recognition (ASR) engines to provide sub-second latency in transcription and highly contextual summarization. Unlike basic transcription tools, MeetQuill utilizes a proprietary semantic layer to distinguish between casual conversation and critical business directives, automatically mapping action items to specific stakeholders. The architecture is built on a vector-database backbone, allowing users to perform complex natural language queries across their entire meeting history (e.g., 'What were the budget concerns raised in Q3?'). Positioned as a direct competitor to Otter.ai and Fireflies.ai, MeetQuill differentiates itself through its deep integration with the modern stack—including Notion, Jira, and Salesforce—and its 'Privacy-First' processing module that ensures data is processed in localized instances. In 2026, it remains a leader for teams requiring high accuracy in speaker diarization and automated post-meeting workflow orchestration, effectively eliminating the manual overhead of administrative follow-ups.
Uses NLP to identify 'intent to act' and automatically creates tickets in Jira or Trello.
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.
Acoustic modeling to identify speakers across different meetings even without video.
Real-time translation and transcription across 40+ languages using transformer-based models.
Unsupervised learning to group meeting segments into thematic clusters automatically.
Analyzes tone and word choice to track meeting morale trends over time.
Chat interface that uses RAG (Retrieval-Augmented Generation) on your meeting transcripts.
Automatically scrubs PII (Personally Identifiable Information) from transcripts before storage.
Sales reps miss critical pain points while trying to take notes manually.
Registry Updated:2/7/2026
Valuable feature ideas get lost in long brainstorming sessions.
Need for verbatim, timestamped records for compliance.