Laxis
The AI-Powered Revenue Intelligence Platform for High-Velocity Sales Teams
Turn every meeting into a structured data asset for your revenue team.
MeetSwift is a high-performance AI meeting intelligence platform engineered to eliminate manual data entry for sales and product teams. By 2026, MeetSwift has transitioned from a simple transcription tool to an agentic workflow layer that sits atop Google Meet, Zoom, and Microsoft Teams. Its technical architecture utilizes advanced LLM ensembles to differentiate between speaker intent, technical requirements, and budget signals, automatically mapping these to custom CRM objects. Unlike legacy transcription services, MeetSwift focuses on the post-meeting 'Action Gap,' employing automated logic to trigger webhooks and Slack notifications based on specific keyword triggers or sentiment shifts. Its market position is defined by deep integration with GTM (Go-To-Market) stacks, providing sub-second latency in live transcriptions and high-fidelity summaries that require minimal human editing. For enterprise environments, it offers robust data governance, ensuring that sensitive conversation data is handled with SOC2 Type II compliance and granular access controls, making it a critical component of the modern AI-driven revenue engine.
Uses LLM reasoning to generate and send follow-up emails that reference specific meeting timestamps and attachments.
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.
Neural speaker diarization that identifies speakers even in environments with high background noise or overlapping speech.
Vector-based search indexing that allows users to find meetings by concepts (e.g., 'pricing objections') rather than just keywords.
Real-time overlay for sales reps providing dynamic talk tracks based on detected competitor mentions.
Deep bi-directional sync that can create and update custom objects in Salesforce based on conversational context.
Automatically identifies and redacts PII (Personally Identifiable Information) from transcripts and recordings.
Time-series sentiment analysis that tracks the emotional trajectory of a call from start to finish.
Critical technical details are lost when transitioning a lead from SDR to AE.
Registry Updated:2/7/2026
Product managers struggle to sift through hours of calls to find feature requests.
Identifying churn risk before it happens.