LiveKit Raises $100 Million for Voice AI Developer Platform

LiveKit raised $100 million in a Series C funding round to accelerate the growth of its developer platform for building voice, video and physical artificial intelligence agents.

The round values the company at $1 billion, LiveKit co-founder and CEO Russ d’Sa said in a Thursday (Jan. 22) blog post.

It followed an April Series B funding round in which LiveKit raised $45 million.

Over 200,000 developers and teams use the LiveKit platform to build AI that can interact with the world in real time, according to the company’s website. The users include AI and robotics labs as well as Fortune 500 companies.

LiveKit helped OpenAI develop ChatGPT Voice Mode, according to the blog post that announced the April funding round.

Since the launch of that product, voice AI has been deployed in thousands of applications across financial services, healthcare, retail, customer support, education and robotics. In these applications, voice agents help process claims, tutor students, triage patients, support customers and interview candidates, according to the Thursday blog post.

“Today, large enterprises are evaluating and building voice agents to automate workflows, improve customer experiences and unlock new revenue,” d’Sa said in the post. “While many of these use cases are still in the proof-of-concept stage, some are moving into production and operating at real scale. Agentforce voice agents run customer support for the world’s top brands, and Tesla uses voice AI for sales, support, insurance and roadside assistance.”

“We anticipate 2026 will be the year voice AI will be broadly deployed across thousands of use cases around the world,” d’Sa said in the post.

Sahir Azam, an early-stage and growth investor at Index Ventures, which led the Series C funding round, said in a separate Thursday blog post that his company believes that LiveKit is establishing “one of the most important infrastructure layers in the AI stack.”

“In the near term, voice agents are becoming the first line of interaction in call centers and customer workflows,” Azam said in the post. “As robotics and autonomy take off, the same underlying requirements will apply to systems interacting with the physical world through cameras, microphones and sensors.”

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