Laxis
The AI-Powered Revenue Intelligence Platform for High-Velocity Sales Teams
The AI Sales Intelligence Layer That Turns Conversations Into Structured CRM Data
MeetCora (often referred to as Cora AI) is a sophisticated conversation intelligence platform engineered to bridge the gap between verbal communication and structured data entry. In the 2026 market landscape, MeetCora distinguishes itself through deep semantic understanding of sales discovery frameworks (such as BANT or MEDDIC), automatically populating CRM fields with high-fidelity data extracted directly from live audio streams. Its architecture leverages a proprietary ensemble of Large Language Models (LLMs) tuned for enterprise-grade transcription accuracy and sentiment analysis. Unlike generic transcription tools, MeetCora acts as an autonomous sales operations agent, synthesizing meeting transcripts into actionable intelligence, updating opportunity stages in real-time, and generating personalized follow-up sequences. For technical teams, it offers a robust middleware solution that reduces administrative overhead by up to 40%, ensuring that no critical requirement or customer pain point is lost in manual note-taking. Its 2026 positioning focuses on 'Zero-Input' CRM management, targeting high-growth RevOps teams who require high data integrity across their tech stack.
Uses RAG (Retrieval-Augmented Generation) to map conversational context to specific JSON schemas required by Salesforce and HubSpot.
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-network-based speaker identification that distinguishes between up to 15 unique voices in a single stream.
Analyzes tonal frequency and semantic cues to provide a live 'Deal Health' score during the call.
Generates personalized, context-aware email drafts based on the specific action items discussed in the call.
Allows users to upload technical glossaries to improve transcription accuracy for niche industries (e.g., Biotech, FinTech).
Automatically identifies and redacts PII (Personally Identifiable Information) from transcripts and audio files.
Supports outgoing webhooks that trigger based on specific keywords mentioned during a live meeting.
Sales reps forget to ask critical qualification questions or fail to record BANT data.
Registry Updated:2/7/2026
Rep receives a Slack summary with next steps.
Product managers spend hours re-watching user interviews to find specific feature requests.
Manual transcription of legal proceedings is slow and prone to errors.