The Series B funding will help the company with hiring, product development and expansion into more enterprise deployments, according to a Wednesday (Sept. 3) press release.
While the company did not share its valuation, a report by Reuters cited unnamed sources who said HappyRobot is now valued at $500 million.
A wave of venture investment into AI firms has raised concerns about possible saturation and increased competition for the companies, the report said.
HappyRobot is hoping its in-house tech and logistics expertise help separate it from general-purpose AI voice startups such as ElevenLabs, according to the report.
“Being verticalized” gives the company an advantage over more general-purpose competitors who might be “clueless about the operations and the intricacies of these industries,” said HappyRobot co-founder and CEO Pablo Palafox, per the report.
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Launched 18 months ago, the company has more than 70 enterprise customers, including DHL, Ryder, Schneider and Werner, which use HappyRobot for tasks such as appointment scheduling, collections and outbound sales, according to the press release.
“The early results are clear: AI workers aren’t just cutting costs — they’re unlocking new revenue opportunities, increasing visibility and freeing teams to focus on strategic, relationship-driven work,” the release said.
HappyRobot’s AI operating system combines “real-time truth,” specialized AI workers, and an orchestrating intelligence to manage “complex, mission-critical work,” starting with supply chain and industrial-scale operations, per the release.
The goal is to help enterprises operate with speed and ongoing improvement, “while humans focus on higher-value work,” the release said
The PYMNTS Intelligence report “The Agentic Trust Gap: Enterprise CFOs Push Pause on Agentic AI” found that 15% of chief financial officers surveyed are even considering putting agentic AI to work, with most still in the early evaluation stage.
“This contrasts with the surging adoption of generative AI, which CFOs are increasingly using for tasks like content creation, customer service, coding and data analysis,” PYMNTS wrote Aug. 15. “The report shows generative AI’s deployment for product and service innovation up 21% and for spotting fraud and errors up 31% since March 2024.”
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