Laxis
The AI-Powered Revenue Intelligence Platform for High-Velocity Sales Teams
Bridging the Gap Between Verbal Collaboration and Project Execution through Intelligent Meeting Lifecycle Management.
MeetThread represents the 2026 evolution of meeting intelligence, moving beyond basic transcription into the realm of 'Actionable Memory.' Its technical architecture utilizes a sophisticated RAG (Retrieval-Augmented Generation) framework that connects disparate meeting transcripts into cohesive 'threads' of conversation, allowing teams to track the evolution of a project or decision over months of discourse. Built on a multi-LLM orchestration layer (leveraging GPT-4o and Claude 3.5 Sonnet), MeetThread provides real-time diarization and sentiment analysis with sub-second latency. In the 2026 enterprise landscape, MeetThread differentiates itself by offering 'Headless Integration,' where meeting insights are automatically pushed into ERP and CRM systems without manual oversight. This enables a seamless flow of data from spoken intent to documented action, significantly reducing the administrative overhead of project management. The platform emphasizes data sovereignty, providing options for localized vector storage and enterprise-grade encryption for highly regulated industries.
Uses vector embeddings to link discussions across multiple meeting dates, creating a chronological knowledge graph.
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.
Proprietary audio fingerprinting that identifies speakers even in low-bandwidth or high-noise environments.
NLP model trained specifically on 'commitment speech' to differentiate between casual remarks and professional obligations.
Automatically parses sales calls for budget, authority, need, and timeline (BANT) and updates Salesforce fields via API.
Provides low-latency ( <200ms) translated captions for multi-lingual participants directly in the video call UI.
Visualizes the emotional 'temperature' of a meeting based on pitch, tone, and lexical choice.
Enables a chatbot interface (ThreadBot) to answer questions based strictly on the organization's meeting history.
Sales reps forget to document specific client pain points in the CRM.
Registry Updated:2/7/2026
Post-meeting manual ticket creation is time-consuming and prone to error.
Strategic pivots are discussed but not formally documented, leading to confusion.