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AI work assistant startup Town secures unicorn status after raising $108M just weeks after launching

Town.com Inc., an artificial intelligence agent startup laser focused on getting work done by collaborating with other AI agents, revealed today that it has raised $108 million in a new funding at a $1 billion valuation. The Series B round was led by Forerunner Ventures and Menlo Ventures, and saw participation from Andreessen Horowitz, Serena […] The post AI work assistant startup Town secures…

AI work assistant startup Town secures unicorn status after raising $108M just weeks after launching

Town.com Inc., an artificial intelligence agent startup, has achieved unicorn status after securing $108 million in a Series B funding round, just weeks after launching its AI assistants. The round was led by Forerunner Ventures and Menlo Ventures, with participation from Andreessen Horowitz, Serena Ventures, and First Round Capital, bringing the company's total funding raised to $160 million.

Town's co-founders, Jean-Denis Greze and Tony Vincent, aim to provide businesses with AI assistants known as "townies" to help employees complete tasks. Townies can collaborate with one another and access approved information across various tools and systems. Menlo's partners, Shawn Carolan, Amy Wu Martin, and Sam Borja, reported that their firm began using Town in June, and Townies quickly became their most valuable team members.

Townies stand out by understanding the business context of each employee, including how their CEO writes and which buyers have the strongest relationships. This contextual understanding helps employees work more efficiently and enables collaboration between townies and employees. The co-founders emphasize that businesses will own this contextual knowledge, which was previously lost when employees left the company.

Town.com plans to use the funding to expand integrations and establish themselves as a permanent fixture in employees' daily lives.

Written by urgent.news from SiliconANGLE's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

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