Laxis
The AI-Powered Revenue Intelligence Platform for High-Velocity Sales Teams
Transform meeting noise into actionable intelligence with AI-driven knowledge synthesis.
MeetShard represents the 2026 gold standard in autonomous meeting intelligence. Built on a proprietary multi-modal architecture, it goes beyond simple transcription to provide high-fidelity semantic understanding of organizational dialogue. The platform acts as a bridge between synchronous communication and asynchronous project execution, utilizing advanced Natural Language Understanding (NLU) to identify implicit action items, sentiment trends, and strategic blockers. In the 2026 market, MeetShard distinguishes itself through 'Contextual Memory,' allowing the AI to reference decisions made in previous quarters during live discussions. The technical infrastructure is designed for low-latency processing, supporting real-time diarization across 50+ languages. By integrating deeply with the modern enterprise stack, MeetShard transforms every Zoom, Teams, or Google Meet session into a structured, searchable knowledge asset. Its enterprise-grade security layer ensures that proprietary corporate data remains siloed and encrypted, making it a preferred choice for legal, medical, and financial institutions requiring strict compliance while seeking to optimize team velocity and reduce 'meeting fatigue'.
Uses machine learning to predict which team member is best suited for an identified action item based on historical task data.
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 both vocal tonality and transcript context to gauge meeting morale and participant engagement.
Vector-based search that finds meeting moments based on concepts and meaning rather than exact keyword matches.
Directly pushes call insights and next steps into Salesforce or HubSpot without human intervention.
Allows users to upload technical glossaries or internal jargon lists to improve transcription accuracy for specialized industries.
Provides live translated captions during meetings for cross-border collaboration.
Calculates a 'health score' for every meeting based on talk-to-listen ratios and objective achievement.
Knowledge loss when moving a lead from Account Executive to Customer Success.
Registry Updated:2/7/2026
Developers missing context on ticket requirements during long planning sessions.
High cost and delay of manual legal transcription.