Laxis
The AI-Powered Revenue Intelligence Platform for High-Velocity Sales Teams
Automated Compliance and Performance Intelligence for Enterprise Meetings
MeetCheck represents the 2026 frontier of Meeting Intelligence, moving beyond simple transcription into proactive compliance and protocol enforcement. Built on a proprietary transformer-based architecture with Retrieval-Augmented Generation (RAG) capabilities, MeetCheck acts as a silent observer that cross-references live verbal exchanges against internal knowledge bases and regulatory checklists. Unlike legacy note-takers, MeetCheck focuses on 'Correctness Tracking,' ensuring that sales representatives or customer success managers adhere to legal disclosures, brand guidelines, and specific discovery frameworks. Its technical stack utilizes a low-latency diarization engine that handles multi-speaker identification with 98% accuracy in high-noise environments. In the 2026 market, MeetCheck is positioned as a critical infrastructure layer for regulated industries (FinTech, HealthTech, Legal) by providing an immutable audit trail of every verbal commitment made during virtual calls. It bridges the gap between raw conversational data and actionable CRM entries, automating the data-entry tasks that previously consumed 20% of an account executive's workflow.
Uses zero-shot classification to determine if specific required conversational nodes were addressed during the call.
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 voiceprint technology to identify speakers even when they are sharing a physical microphone or room.
Live HUD prompts that suggest responses based on historical successful deal data when a competitor is mentioned.
Automatically scrubs sensitive data (credit cards, SSNs) from transcripts and audio recordings before storage.
Seamlessly transcribes and translates meetings where participants alternate between multiple languages mid-sentence.
Directly updates CRM picklists and text fields using structured data extracted from conversational context.
Connects to internal documentation (Notion, Confluence) to provide real-time fact-checking of technical claims made by staff.
Ensuring wealth managers provide necessary risk disclosures during client consultations.
Registry Updated:2/7/2026
Account Executives often skip key discovery questions, leading to poor lead qualification.
Critical customer pain points identified in sales are lost during the transition to implementation.