Town raises $108M Series B at $1B valuation to build AI workplace assistant with multiplayer and multi-channel support

Town has closed a $108M Series B at a $1B valuation, co-led by Forerunner Ventures and Menlo Ventures. The company builds an AI workplace assistant that works across Slack, email, SMS, WhatsApp, and its own native apps — what Jean Denis calls being "wherever you work."

The multiplayer angle

The differentiator Denis leads with is multiplayer. Town isn't just a one-to-one assistant; it lets teams share agent workflows across channels. Denis describes an internal setup where employees post admin requests into a shared Slack channel, and his Town agent surfaces them for approval — creating permission, create a Google group, whatever it is — without clogging his personal messages. The agent acts with his admin rights only after he confirms. It's a small example, but it points at the architecture: agents that operate within organizational permission structures, not just personal ones.

“I'm CEO of town. We just raised our series b, $108,000,000 at a billion dollar valuation. Forerunner Ventures and Menlo Ventures are leading... We believe that the way most humans will be interacting with digital information is not going to be through apps in the future. It's going to be through assistants that are very much theirs, and that are optimizing for their success in life.”

The trust problem

Denis is candid that proactive recommendations are both the holy grail and the easiest way to destroy user trust. The failure mode he worries about is an agent that "slams you" with low-effort suggestions — the equivalent of a new hire walking up to the CEO to say the company isn't running Meta ads. The version that earns trust looks different: the agent notices competitors have shifted their marketing strategy, does the analysis quietly, and then surfaces a memo when the timing is right. Denis says Town has moments where this works and the customer feedback is "oh my god, you saved me money" — and moments where it completely misses. He doesn't oversell the current state.

Data privacy as a product decision

On the personal-versus-work boundary, Denis frames enterprise data privacy as a configuration choice rather than a hard wall. Some customers allow employees to connect personal accounts; others enforce strict separation. Town's position is that a good enterprise platform lets businesses choose their own policy rather than imposing one.

Where the product is heading

The near-term roadmap includes something Denis describes as a "home base" view — proactive surfacing of what needs attention across channels, rather than requiring the user to ask. He acknowledges this requires earned trust first. Users aren't ready to hand over the keys until the agent has demonstrated it won't miss something important.

Denis's summary of the ambition is the Slack-digest use case he already runs personally: he asks Town what happened in the last five hours and what needs a response, and it tells him. The next step is flipping that from pull to push — without the agent becoming noise.