Laxis
The AI-Powered Revenue Intelligence Platform for High-Velocity Sales Teams
The AI-driven meeting intelligence layer that turns conversations into structured operational data.
MeetOlive (operating as Olive) represents the 2026 standard for autonomous meeting intelligence. Built on a proprietary orchestration layer that fuses Whisper-v4-level speech-to-text with advanced Large Language Models, Olive goes beyond simple transcription to provide semantic understanding of professional dialogues. In the 2026 market, Olive distinguishes itself through 'Contextual Memory,' a feature that links disparate meetings into a unified project timeline, allowing teams to track decision-making evolution. The architecture is designed for high-security environments, offering localized data processing and sophisticated PII (Personally Identifiable Information) masking. Its market position is centered on 'Revenue Intelligence'—specifically bridging the gap between verbal commitments made in Zoom/Teams calls and the hard data stored in CRM systems like Salesforce or HubSpot. By automating the 'administrative burden' of meetings, Olive enables knowledge workers to focus on high-leverage strategic tasks while ensuring that no action item is lost in the noise of a digital-first workplace.
Uses facial expression analysis (video) and acoustic prosody (audio) to map emotional resonance during key discussion points.
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.
A vector-database driven index that links topics across different meetings held by different team members.
Real-time NLP models identify and scrub sensitive data (SSNs, Credit Cards) from transcripts.
Neural clustering of voice prints to identify speakers even in poor acoustic environments with 98% accuracy.
Allows users to write custom system prompts to dictate exactly how summaries are structured.
AI monitors talk-time ratios and sends private nudges if one person is dominating the conversation.
Analyzes the context of commitments and suggests the most likely assignee based on project history.
Sales reps forget to log key pain points into CRM, leading to poor follow-ups.
Registry Updated:2/7/2026
A customized follow-up email draft is sent to the rep's inbox.
Daily standups take too long and blockers aren't documented.
Board meeting decisions are often misinterpreted or forgotten.