Laxis
The AI-Powered Revenue Intelligence Platform for High-Velocity Sales Teams
The Agentic Intelligence Layer for Autonomous Meeting Insights and Revenue Operations.
Fathom Ray represents the 2026 evolution of the Fathom meeting assistant, transitioning from a passive transcription tool to an active AI agentic layer. Built on a proprietary Large Language Model (LLM) orchestration engine, Ray is designed to operate autonomously across Zoom, Google Meet, and Microsoft Teams. Unlike basic recorders, Ray performs deep semantic analysis to distinguish between 'soft interest' and 'hard commitments' during sales calls. Its technical architecture prioritizes low-latency processing, typically delivering structured meeting data to downstream systems like Salesforce or HubSpot within 180 seconds of call termination. For enterprise environments, Fathom Ray introduces cross-meeting synthesis, allowing revenue leaders to query their entire call library using natural language to identify market trends, competitor mentions, or feature gaps. By 2026, the platform has solidified its position as a critical node in the 'AI-native sales stack,' replacing manual data entry with high-fidelity, automated synchronization of structured intent data. Its security posture includes SOC2 Type II compliance and advanced PII redaction, making it suitable for highly regulated industries such as Fintech and Healthcare.
Uses LLM logic to determine which CRM fields to update based on conversational context rather than simple keyword matching.
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.
Aggregates data across multiple recording sessions to provide a unified account-level overview.
Real-time notification engine that triggers based on semantic meaning (e.g., 'pricing objection') rather than exact word matches.
Client-side processing layer that identifies and obscures sensitive data (CC numbers, IDs) before cloud storage.
Localized NLP models that maintain high accuracy for 25+ languages and various regional accents.
Proprietary 'joiner' tech that enters meetings without visible avatars when configured for stealth intelligence.
Probabilistic modeling of buyer intent based on vocal tonality and specific questioning patterns.
Information loss during the transition from lead qualification to account executive discovery.
Registry Updated:2/7/2026
Product managers spending hours manually tagging feature requests from user interviews.
Undetected negative sentiment in quarterly business reviews (QBRs).