Quill Meetings announced $6.5 million in seed funding and the launch of Quilliam, a sovereign Chief of AI Staff agent designed to help modern professionals coordinate and manage their growing fleet of AI tools. The round was led by Basis Set Ventures, with participation from 500 Global, Naval Ravikant, Morado Ventures, and AME Cloud Ventures.
The company said the new capital will accelerate product development and team expansion, including the recent additions of Founding COO and Head of Growth Yacob Berhane and Head of Enterprise Clayton Bryan.
As professionals increasingly rely on multiple AI tools for writing, coding, research, and communication, Quill aims to provide a unifying layer that maintains context and orchestrates workflows across platforms. The company notes that professionals spend roughly 75% of their day in conversations, including meetings, calls, and collaborative sessions. Quill begins as a meeting notetaker, capturing context from these interactions, and evolves into a Chief of AI Staff that coordinates AI tools with an understanding of how users work.
Quill positions itself as “sovereign by design,” emphasizing user control over data and AI inference. All user data resides on the user’s device by default, and the product can operate without relying on Quill’s cloud infrastructure. Audio never leaves the device, with transcription handled locally. Cloud sync is optional and, when enabled, is end-to-end encrypted, with Quill’s servers never accessing plaintext content. Users can select where AI inference runs, including enterprise cloud providers such as Google Vertex and AWS Bedrock with zero content logging, or fully local models for air-gapped and offline environments. The company also states that no user data is used for model training.
This configurable architecture is intended to help enterprises meet compliance requirements, including GDPR, the EU AI Act, and industry-specific regulations, while retaining full functionality. For organizations requiring complete data sovereignty, Quill can operate entirely on-device with no external network calls.
Quilliam connects to other tools via Model Context Protocol, including Notion, Linear, Affinity, Obsidian, Airtable, Manus, and Gamma. Using context from meetings and user history, Quilliam can proactively suggest and execute workflows. For example, after a product meeting, it can create or modify tickets in Linear, update documentation in Notion, and draft stakeholder updates. Ahead of a client call, it can surface relevant history and prepare briefing materials. Over time, the system customizes automations, templates, and integrations tailored to individual users.
Quill is available now for individuals and enterprise teams.
KEY QUOTES
“Work is becoming AI management. But AI tools don’t talk to each other and don’t really remember how users work. Our goal is to eliminate the coordination tax. Quill starts where the context is — conversations with other humans — learns how users operate and coordinates their AI staff on user’s behalf. So users can focus on the conversation, not the follow-through.”
Michael Daugherty, Co-Founder And CEO Of Quill
“We believe Quill’s approach to data sovereignty is genuinely differentiated. They’ve built an architecture that lets security-conscious enterprises get the benefits of AI while mitigating compliance risks. This will be significant for regulated industries and companies that require on-prem AI solutions.”
Christine Tsai, Founding Partner And CEO Of 500 Global
