Cogram

Cogram is an AI assistant for professionals that takes notes in meetings and works with sensitive data under strict privacy guarantees.

Overview

Cogram targets professions where confidentiality is paramount — law, consulting, research. It joins or records meetings, produces structured notes with action items, and can query past conversations and documents. Privacy is the differentiator: the company designs its data handling so that sensitive content is protected, and deployments can be configured for enterprise security requirements. It also assists with research tasks like summarizing documents and drafting follow-ups based on meeting content.

Privacy-conscious professions value knowing where their data goes: deployments and data handling are designed for confidentiality from the ground up. The note quality does not suffer for it — structured summaries and action items arrive reliably.

Key Features

• Automated meeting notes with decisions and tasks
• Privacy-first design for confidential conversations
• Query and search across meetings and documents
• Drafting support for follow-ups and summaries
• Enterprise deployment and security options
• Structured meeting notes with action items
• Privacy-first handling of sensitive conversations
• Search and query across meetings and documents

Setup prioritizes data handling: deployment and retention are configured to the organization’s policy before the first meeting is recorded. Meeting templates shape note structure per context, and integrations push action items into the task systems teams already track work in.

Notes are structured per meeting type — client calls, standups, research interviews — so outputs match how each team works. Integrations push action items into task trackers automatically, and the query interface turns months of meetings into an institutional memory anyone can search.

Pricing

Cogram is offered through commercial plans for teams and enterprises; interested organizations contact the team for pricing.

Who Is It For

Law firms, consultancies, and research teams whose meeting content cannot afford casual data handling. It fits law, consulting, and research teams with strict confidentiality.