Town, the San Francisco startup building AI assistants that collaborate the way coworkers do, has raised $108 million in a Series B funding round that values the company at $1 billion. According to the company's October 19 announcement, the raise marks a sharp escalation in the race to build AI assistants that go beyond helping one person at a time and start working as teams.

The financing was co-led by Forerunner Ventures and Menlo Ventures, with participation from Andreessen Horowitz (a16z), First Round Capital, Better Tomorrow Ventures, Precedent.vc, Scribble Ventures, Serena Ventures, and Sparked Ventures. A group of angel investors, including Scott Belsky and Josh Silverman, also joined. The round brings Town's total funding to $160 million, just four months after a $55 million Series A led by a16z in June 2026. The size of the bet underscores investor confidence that teams of AI assistants represent the next phase of workplace automation.

From individual assistants to team players

Town's pitch is that the first wave of AI assistants solved the wrong problem. Personal assistants can book dinners and triage inboxes, but most meaningful work depends on other people: a model from finance, access from an ops lead, input from the sales team. When every assistant works alone, the humans they serve still spend their days waiting on each other.

According to the announcement, Town's answer is the Townie: an assistant assigned to each employee that plugs into email, documents, calendar, and core work systems, learning the person's projects, relationships, and communication style. The new capability funded by this round lets Townies talk to each other directly. They ask each other questions, connect information across people, and hand off work, sharing only what their own person would share and asking permission when the stakes are higher.

Townies can also work with people outside the company over email and text, handling conversations with customers, partners, and job candidates. The announcement offers a concrete example: when the business operations team updates competitor battle cards, it changes the call-preparation process once, and every salesperson's Townie immediately begins preparing calls with the new competitive analysis baked in.

The numbers suggest the idea is landing. According to Town, the company has seen fourfold growth in paying customers and ninefold growth in paying teams since July 2026, with thousands of businesses now using Townies daily. According to a blog post by Menlo Ventures partners, as reported by SiliconANGLE, the startup reached a revenue run rate in the millions of dollars within weeks of launching its first assistants in June.

The crowded race for workplace AI assistants

Town's unicorn valuation arrives at the exact moment every major AI lab is shipping its own take on the always-on assistant. Meta's Muse surged to the top of the App Store within two weeks of launch this summer, OpenAI introduced its persistent agent Dots in September, Google rolled out its Gemini Agent on October 8, and Anthropic revealed Claude Duet, its proactive research-preview agent, on October 21. The four labs are each chasing versions of the same vision: AI that reaches out to the user first instead of waiting to be asked.

Town is betting that none of those general-purpose AI assistants can close the teamwork gap. A personal assistant knows its user but cannot coordinate with the rest of the team; a team bot sees shared channels but rarely learns anyone's inbox or preferences. Townies are designed to be both: deeply personal to their owner and able to collaborate with other agents.

The startup has also been adding shared workflows that push new business information to every employee's Townie automatically, rather than requiring each worker to update their own assistant. In interviews earlier this year, according to Inc.'s reporting, founders Jean-Denis Greze and Tony Vincent said in interviews earlier this year that they do not believe in AI-ifying everything (Inc. coverage), a philosophy the company says keeps its agents focused on real work instead of generating more noise.

Trust is the price of admission

Giving AI assistants access to inboxes, documents, and internal systems demands a level of trust that startups must earn. Town says each customer owns the context its Townies build and can take it along if it leaves, and that connected data is not used to train models by default. The company is SOC 2 Type 2 compliant and uses models from several major labs rather than locking customers into a single provider.

That positioning matters as enterprises weigh the risks of agentic AI. Regulators and enterprise buyers are still developing playbooks for overseeing fleets of AI assistants with access to sensitive systems. Approval steps, permission prompts, and audit trails have become standard selling points for workplace agents, and Town's design centers on the principle that genuinely human decisions come back to the human. Whether agent-to-agent collaboration can deliver on its productivity promise without creating new coordination problems of its own will be the real test of the $1 billion bet.

The founders bring relevant pedigrees: Greze was previously chief technology officer at Plaid, and Vincent was director of applied AI product at Google after two startups he worked on were acquired by Google and Dropbox. Town itself started in 2024 as an AI tax automation tool before pivoting to workplace AI assistants, a detour the team credits with teaching it how much workers value agents that handle tedious operational work.

With four major labs and a growing field of venture-backed startups all converging on assistants that act before being asked, Town's $108 million raise suggests investors believe the next differentiator is not a smarter single agent but AI assistants that function as a team.

Sources

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