Granola, an AI-powered meeting notes and context platform, announced it has raised $125 million in a Series C funding round at a $1.5 billion valuation, as the company looks to expand its role as a central system for organizational knowledge and workflows.
The round was led by Index Ventures, with participation from Kleiner Perkins. Existing investors including Lightspeed, Spark, and NFDG also participated.
Granola has gained traction among a mix of enterprise and high-growth technology companies, including Vanta, Gusto, Thumbtack, Asana, Cursor, Lovable, Decagon, and Mistral AI. These organizations are using the platform not only for meeting notes but also to capture and operationalize conversational context across teams.
The company’s core thesis is that conversation transcripts represent one of the richest sources of organizational knowledge. By pairing this data with advanced AI models, Granola aims to unlock new workflows, insights, and automation across business functions.
Alongside the funding announcement, Granola introduced several new product capabilities designed to deepen how teams manage and use context:
- Spaces, a new feature that allows teams to organize and share notes with granular access controls, including team-wide and private environments.
- Integrated AI chat within Spaces, enabling users to query meeting data across conversations and generate outputs such as insights, summaries, and briefs.
- Expanded APIs, including personal and enterprise APIs, allowing developers and organizations to integrate Granola data into external tools and workflows.
- Enhanced enterprise controls, including admin visibility into usage metrics, as well as features such as SSO, SCIM, consent management, and transcript deletion.
Granola is also positioning itself as a key data layer for the broader AI ecosystem. The platform already integrates with tools like Claude, ChatGPT, Figma Make, Replit, and others, enabling users to bring meeting context directly into AI-driven workflows.
With the new funding and product updates, the company is focused on making conversational data a foundational input across enterprise software, helping teams move beyond static documents and leverage real-time context in decision-making and execution.
