Grain is an AI notetaker and conversation intelligence platform that records video calls, Slack huddles, and in-person meetings to provide accurate summaries, insights, and coaching feedback. Unlike other notetaking tools, Grain captures all meeting content: video, desktop captured audio, and resulting transcripts and notes. We make it easy to share meaningful data with your clients and collaborators, and to transform your meeting data into actionable insights and deliverables using AI technology.

Grain serves any team that relies on meetings, but we specialize in small to mid-market and enterprise sales, customer success, and product teams. These teams benefit most from automated meeting capture, call analysis, team coaching features, and AI-powered deliverables using meeting data that save time and improve collaboration.

How do I use Grain with my team?

Send clips, share notes, and deliver feedback to teammates with Grain's built-in Teams feature. Create groups to organize and automatically share specific meeting types with exactly who needs access, streamlining collaboration.

How much does Grain cost?

Grain offers a free plan with unlimited meetings for teams. Paid plans start at $15/month per user for unlimited meetings, advanced AI, conversational intelligence, and additional features. No hidden fees or long-term contracts required.

What's included in the free plan?

The free plan includes unlimited meetings, 1 notetaker seat, basic AI notes, unlimited viewer seats, collaborative workspace, and desktop capture. Upgrade for advanced AI features, conversational intelligence, and priority support.

How much time do I save with Grain vs. manual note-taking?

On average, users save about 10 minutes per meeting by eliminating manual note-taking and follow-ups. Over a month, that's 20+ hours per team member that can be reinvested in coaching, strategy, or revenue-driving activities instead.

Is Grain secure and compliant?

Yes. Grain holds SOC 2 Type II. All data is hosted on AWS infrastructure in the USA within a dedicated virtual private cloud (VPC). Grain conducts annual penetration testing by third-party firms and maintains an A+ Qualys/SSL Labs rating. User authentication uses Google, Microsoft, or SSO, with SAML for enterprise clients coming soon. See https://grain.com/security for details.

Do I need permission to record meetings with Grain?

In most regions you are required to inform participants that a meeting is being recorded, and in some jurisdictions you must obtain explicit consent from all parties. Grain helps by clearly indicating when a bot is present or recording, but you remain responsible for complying with local recording and privacy laws.

Does Grain share my data with AI providers?

Grain uses AI models to provide its services. Neither Grain nor its subprocessors use your data for model training. See a list of our subprocessors at https://grain.com/grain-subprocessors.

Can I delete my meetings and data from Grain?

Yes. You can delete individual meetings, entire sets of recordings, or your workspace data from within Grain. When you delete content, it is removed from your workspace and associated sharing targets, and Grain enforces backend deletion according to its data retention and security policies.

How does Grain compare to competitors like Fathom, Gong, or tl;dv?

Grain offers simple, transparent pricing starting at $19/month with no hidden fees or contracts. Unlike enterprise-heavy alternatives, Grain delivers powerful conversation intelligence at a fraction of typical costs while maintaining ease of use and fast deployment.

How do CRM integrations work?

Grain integrates with Salesforce, HubSpot, Pipedrive, and other leading CRMs to automatically sync meeting summaries, transcripts, and insights to deal records. See how each integration works at https://grain.com/integrations.

Why should we transcribe our meetings?

Transcripts create a searchable record of work completed in meetings, which AI then converts into actionable summaries. Without transcripts, meeting outcomes remain invisible to the organization, creating inefficiencies in follow-up and institutional knowledge sharing.