Decagon, an artificial intelligence customer support startup, is set to announce the completion of its initial public offering, allowing its more than 300 employees to sell a portion of their vested shares in the company’s latest $4.5 billion valuation.
The less than three-year-old company’s secondary is led by the same investors that backed its $250 million Series D less than two months ago, including Coatue, Index, a16z, Definition, Forerunner and Ribbit.
As the competition for AI talent intensifies, new startups are increasingly finding that one of the most effective ways to attract and retain top employees is to allow them to convert some of their equity into cash through these types of deals.
Other AI startups that have recently made employee offerings include; Eleven Labs, Linearand Clay, who performed two in nine months.
These startups can provide liquidity to workers in large part because investors want to increase their ownership in such fast-growing companies.
“We had the opportunity to bring together recent investment demand and growth milestones rewarding the team’s hard work,” Jesse Zhang, CEO and co-founder of Decagon, told TechCrunch.
While Decagon hasn’t disclosed its revenue figures since late 2024 — when annual recurring revenue (ARR) topped eight figures — its skyrocketing valuation suggests the company’s growth remains on a sharp upward trajectory. The startup’s current $4.5 billion valuation is triple the $1.5 billion it announced in June.
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Decagon builds AI concierge agents for large companies that autonomously resolve customer queries using chat, email and voice. The startup’s more than 100 major clients include Avis Budget Group, 1-800-Flowers, Quince, Oura Health and Away Travel.
Although several other companies, including Sierra, Intercom and Parloa, are also developing AI agents to automate work traditionally handled by human customer support representatives, the market opportunity is huge. There are Gartner estimates 17 million contact center agents around the world, a global workforce that these companies now want to automate.
