Laxis
The AI-Powered Revenue Intelligence Platform for High-Velocity Sales Teams
The asynchronous collaboration platform that captures meeting intelligence and eliminates meeting fatigue.
Bubbles is a high-performance AI-driven meeting assistant and asynchronous communication platform designed for modern, distributed teams. Its core technical architecture leverages advanced Large Language Models (LLMs) to perform real-time speech-to-text transcription with speaker diarization, enabling a high degree of accuracy in identifying individual contributors. In the 2026 market, Bubbles differentiates itself by bridging the gap between synchronous video conferencing (Zoom, Teams, Google Meet) and asynchronous feedback loops. It uses a proprietary 'Context Engine' to map verbal commitments and action items directly into collaborative workflows. The platform operates through a combination of a cloud-based meeting bot and a robust browser extension for screen recording, allowing users to leave timestamped video comments. This dual-purpose utility reduces the need for follow-up meetings by centralizing all context in a searchable, interactive video repository. From an architectural perspective, Bubbles integrates deeply with enterprise calendars to automate the lifecycle of a meeting—from pre-meeting agenda setting to post-meeting documentation and task distribution.
Allows users to pin comments and questions to exact timestamps on a video timeline, creating an interactive conversation layer.
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 distinguish between multiple speakers in a meeting with 98% accuracy.
Vector-based search across all historical transcripts to find specific topics or decisions made in past meetings.
Analyzes tone and word choice to provide a sentiment score for different segments of a meeting.
Secure, permissioned sharing of meeting transcripts and videos to external stakeholders without requiring an account.
Allows users to prompt the AI to focus on specific metrics or data points during the summarization process.
Deep integration with Salesforce and HubSpot to update lead records with meeting notes.
Coordinating schedules for 5+ stakeholders to review a UI/UX update.
Registry Updated:2/7/2026
Sales representatives losing detail when handing leads over to Account Managers.
Biased or incomplete interview notes leading to poor hiring decisions.