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Town.com

4 viewers · 30d

Total raised

$60.1M

+$60.1M this year

1 filing since 2026 · latest Equity filed

Cumulative raised
LAST ROUND
Equity · $60.1M
ROUNDS
1
INVESTORS
6
FOUNDED
2024
HQ
San Francisco, CA
SECTOR
AI
EMPLOYEES
N/A
30D VIEWERS
4

AI overview

Updated

Town builds Townie, a personal AI assistant that connects to a knowledge worker's email, calendar, Slack, documents and other work tools, learns how they work, and then carries out day-to-day tasks. Each Townie is a user-configured character with its own name, appearance and personality, and runs pre-built or custom routines such as auto-inbox, morning briefing and schedule optimization rather than waiting to be prompted. The company was founded in late 2024 by Jean-Denis Greze, former CTO of Plaid, and Tony Vincent, a former applied AI director at Google. It has raised roughly $73M in total: an $18M seed led by First Round Capital in early 2025 and a $55M Series A led by Andreessen Horowitz in June 2026, when it came out of beta.

What sets it apart

Positioned as a proactive chief-of-staff rather than a chatbot: it runs standing routines across 50+ connected work tools on its own initiative, and gives the assistant a chosen name, face and personality so users treat it as a persistent colleague.

Funding history

1 round
EquityMay 20, 2026
Form D
+$60.1M$60.1M total

Latest SEC filings

via EDGAR · CIK 0002046793
Form D · May 20, 2026NewView on EDGAR

Products

1 tracked

Townie

AI assistant / productivity software

A personalized AI assistant that plugs into a user's inbox, calendar, Slack, docs and messages, learns their working style and writing voice, and then handles recurring work through routines. Available as iOS and web apps plus an email-forwarding interface.

  • Pre-built routines: auto-inbox, morning briefing, daily work summary, meeting briefing, schedule optimizer
  • Custom routine builder
  • 50+ integrations including Google Workspace, Slack, WhatsApp, Notion, Asana, HubSpot, Salesforce and GitHub
  • Learns the user's writing style and work patterns from existing history