Town, Maker of AI-Powered Work Assistants, Becomes a Unicorn With $108 Million Raise

In the enterprise software world, AI assistants have long been positioned as individual tools that speed up a single user's text summarization, email drafting or data search. But in modern organizations, the real productivity loss comes less from individual tasks and more from communication bottlenecks in cross-team coordination, knowledge sharing and approval processes. Town, a US-based AI startup that set out to solve this structural problem, caught investors' attention with its multiplayer work assistants and reached a $1 billion valuation (unicorn status) after raising $108 million in a Series B round.

A $108 Million Series B Round Backed by Major Funds

The $108 million Series B round that took Town to unicorn status was co-led by Forerunner Ventures and Menlo Ventures, known for their consumer and enterprise technology investments. Other investors in the round included Andreessen Horowitz (a16z), one of Silicon Valley's most prestigious venture capital funds, along with First Round Capital, Better Tomorrow Ventures, Scribble Ventures and Serena Ventures. Well-known angel investors such as Scott Belsky, a leading name in the world of enterprise design and product management, also backed the round.

Founded in 2024 by Jean-Denis Greze, former CTO of fintech giant Plaid, and Tony Vincent, Google's former Director of Product for Applied AI and a former Dropbox designer, the startup quickly became one of the fastest-growing players in the enterprise AI agents market. The company plans to use the new funding to grow its engineering team, develop its agent-to-agent coordination protocols and deepen its large-scale enterprise integrations.

A Dedicated AI Agent for Every Employee: What Is “Townie”?

At the center of the Town platform are personalized AI work assistants called “Townie”, each assigned specifically to an employee at a company. Unlike traditional chatbots, a Townie learns the working habits, communication tone, priorities and areas of responsibility of the person it works with over time, turning into a proactive work partner.

An employee's Townie assistant can autonomously handle these core functions:

• Deep Context and System Integration: It builds an up-to-date working memory by continuously scanning the user's email, calendar, internal documents, messaging channels and core business software such as CRM or project management tools.
• Automation of Routine Tasks: It takes on time-consuming work such as pulling together pre-meeting prep notes, prioritizing urgent requests in the inbox, compiling status updates and handling repetitive data entry.
• Personalized Decision Support: Based on the employee's past decisions and internal company procedures, it prepares directly actionable drafts for pending work.

From Single Assistants to a Multiplayer Ecosystem

The most critical architectural innovation that sets Town apart from hundreds of AI assistants on the market is that agents can communicate and collaborate with each other directly. In today's business world, an employee completing their own task usually depends on data, approval or a reply from a colleague in another department. While teams wait for answers from each other or try to settle on a simple meeting time, synchronization losses lasting hours or even days pile up.

In the multiplayer AI infrastructure Town has built, Townie assistants belonging to different employees can talk among themselves, ask each other questions, share context and hand off tasks:

• Autonomous Information Exchange: For example, when someone on the sales team needs a detail about the product roadmap, that employee's Townie contacts the product manager's Townie directly. Without interrupting the product manager, it retrieves the needed information within the bounds of its permissions and presents it to its own user.
• Frictionless Coordination and Calendar Management: When a multi-stakeholder project meeting or document approval is needed, the Townies of the people involved negotiate in the background and organize the best time slot and prep files for all parties within seconds.
• Permission and Privacy Boundaries: Information sharing between agents happens entirely within the access permissions and security policies set by the company. In sensitive situations or ones that require approval, a Townie asks its own user for one-click approval before sharing the information.

The Era of Agent-to-Agent Communication in Enterprise Workflows

Shaped under the leadership of former Plaid and Google executives, Town aims to take AI beyond being just an individual productivity add-on and turn it into an invisible operating layer that connects the whole organization. This new model, in which employees can focus only on high-value creative work and strategic decisions instead of waiting all day for replies in messaging apps or moving data between disconnected systems, is seen as one of the strongest harbingers of the era of “agent-to-agent collaboration” in enterprise software.