Laxis
The AI-Powered Revenue Intelligence Platform for High-Velocity Sales Teams
Turn every meeting into structured intelligence and automated CRM workflows.
MeetRaven is a sophisticated AI meeting intelligence platform engineered to bridge the gap between verbal communication and operational data. Built on a modular LLM architecture—utilizing proprietary fine-tuned Whisper models for sub-second transcription and GPT-4o for semantic analysis—MeetRaven excels in high-stakes environments where precision is non-negotiable. As of 2026, the platform has pivoted towards 'Contextual RAG' (Retrieval-Augmented Generation), allowing users to query their entire historical meeting repository with natural language to find specific commitments or sentiments across months of data. Technically, it differentiates itself through its deep integration layer, which doesn't just push transcripts to CRMs like Salesforce or HubSpot, but autonomously maps dialogue segments to specific custom fields and object properties. The platform's 2026 market position is defined by its 'Invisible Bot' technology, which uses native API hooks rather than visible participants in many conferencing suites, providing a less intrusive recording experience while maintaining SOC2 Type II compliance standards for enterprise-grade security.
Analyzes both vocal frequency shifts and linguistic markers to determine real-time participant engagement.
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 vector embeddings to allow users to search for concepts rather than keywords across all recordings.
Parses dialogue to identify specific data points (Budget, Timeline, Authority) and writes them to CRM objects.
Automatically identifies and masks sensitive data (credit cards, SSNs) in both transcripts and audio files.
Enables users to inject custom system prompts to generate niche-specific meeting outputs (e.g., Medical SOAP notes).
Pushes discreet notifications to the host based on talk-to-listen ratios and competitor mentions.
Utilizes a modified OpenAI Whisper-V3 core with custom audio preprocessing for noisy environments.
Sales reps forget to update the CRM with key prospect pain points.
Registry Updated:2/7/2026
Action items discussed in video calls are often lost before the Jira board is updated.
UX researchers spend hours coding interview videos.