Laxis
The AI-Powered Revenue Intelligence Platform for High-Velocity Sales Teams
Enterprise-grade meeting intelligence and CRM automation for professional services.
Cogram is a specialized AI platform designed for professional services and enterprise teams to automate the extraction of insights from virtual meetings. Unlike generic transcription tools, Cogram focuses on structured data output, utilizing advanced LLM architectures to identify project-specific action items, technical requirements, and sentiment shifts. In the 2026 market, Cogram positions itself as a privacy-first alternative to incumbent meeting recorders, offering localized data processing and PII masking to meet strict SOC2 and GDPR requirements. Its technical infrastructure is built for deep integration with enterprise stacks, facilitating bi-directional sync between meeting outcomes and CRM/PM platforms like Salesforce, HubSpot, and Jira. By leveraging domain-specific fine-tuning, Cogram minimizes hallucinations in technical summaries, making it a preferred choice for engineering, legal, and consultancy firms where precision is non-negotiable. The platform's 2026 roadmap emphasizes 'context-aware agents' that can reference historical meeting data to provide real-time suggestions to participants during live calls.
Automatically identifies and masks Personally Identifiable Information from transcripts using Named Entity Recognition (NER).
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 webhooks and native APIs to push meeting notes directly into relevant CRM contact and deal objects.
Neural network-based speaker separation that maintains high accuracy even in rooms with multiple participants using one microphone.
Allows users to upload glossaries of technical terms to improve transcription and summarization accuracy.
Uses vector embeddings to identify themes and recurring issues across multiple meeting sessions.
Generates personalized follow-up emails based on meeting context and assigned action items.
Analyzes talk-to-listen ratios and meeting duration efficiency metrics.
Critical technical requirements are often lost when moving a lead from SDR to Account Executive.
Registry Updated:2/7/2026
PMs spend hours manually updating Jira tickets after team syncs.
Attorneys need verbatim records but also high-level summaries for billing and case files.