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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.
Cogram is a specialized AI platform designed for professional services and enterprise teams to automate the extraction of insights from virtual meetings.
Explore all tools that specialize in sentiment analysis. This domain focus ensures Cogram delivers optimized results for this specific requirement.
Explore all tools that specialize in transcribe meeting audio. This domain focus ensures Cogram delivers optimized results for this specific requirement.
Explore all tools that specialize in extract action items. This domain focus ensures Cogram delivers optimized results for this specific requirement.
Automatically identifies and masks Personally Identifiable Information from transcripts using Named Entity Recognition (NER).
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.
Sign up using SSO or enterprise email for workspace creation.
Connect Google Calendar or Microsoft Outlook to synchronize meeting schedules.
Configure 'Auto-Join' rules to determine which meetings Cogram should attend.
Set up CRM integration by authenticating Salesforce or HubSpot via OAuth2.
Define 'Keywords and Context' to train the AI on industry-specific terminology.
Map custom fields for action items to specific Jira or Trello boards.
Invite team members to the workspace and assign role-based access controls (RBAC).
Run a test meeting to verify audio capture and speaker identification accuracy.
Review the first automated summary and adjust the 'Summary Length' preference slider.
Enable PII scrubbing settings for compliance-heavy client calls.
All Set
Ready to go
Verified feedback from other users.
"Users praise the high accuracy of its technical summaries and its seamless CRM integrations, though some find the lack of a mobile app for in-person meetings a minor drawback."
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