Rivian Eyes Third-Party AI Integration
Rivian recently rolled out an AI assistant that lets drivers and passengers interact with the company’s electric vehicles just by talking to them. But the carmaker’s founder and CEO, RJ Scaringe, said at TechCrunch Disrupt this week that, in the future, Rivian’s cars will be able to run AI agents made by other companies like Anthropic.
“That’s where it becomes magical,” Scaringe said onstage.
Scaringe didn’t say when Rivian would implement this, and the company declined to offer more details, pointing instead to the upcoming event it is hosting in December.
The company has developed its in-car software from the ground up, avoiding reliance on standard third-party automotive platforms while still working to integrate popular in-car media apps.
Software Architecture and Routing
Rivian says it has created its own in-house agentic framework that understands what action a person wants to take when they talk to the vehicle, and routes it to the right part of the car’s software. Most of the time, that involves standard tasks such as adjusting climate controls, activating seat warmers, or summarizing news updates.
“Think of it as like a traffic light. So if you ask the vehicle something, it decides what model it’s going to use. It can use a local model that’s running on the edge and the vehicle. If it’s a more complex question, it can go up to the cloud. And then even for that, we have different models that we use,” Scaringe said.
The agent gained the ability to access external applications such as calendars earlier this year. Scaringe noted that incorporating software from frontier AI labs represents the next operational step, though integrating them into automotive environments presents technical challenges.
Safety and Vehicle Controls
“There’s a lot of plumbing behind the scenes we have to do to make sure that that works, and it’s not just within Rivian. That’s also a lot of coordination with the labs to make sure they enable that plumbing,” he said, adding that putting this kind of software near safety-critical systems means Rivian has to be extremely careful.
“You wouldn’t want an agent to determine, ‘hey, it’s time to apply the brakes, or time to steer the vehicle.’ So anything that’s vehicle-level controls are not being handed to an agent,” he said.
Instead, implementation will likely function as an extension of existing agentic applications, requiring Rivian to connect vehicle systems with user context gathered across external devices.
For example, Scaringe said, a driver could ask the Rivian assistant to turn on ventilated seats while simultaneously pulling context from previous conversations held with an assistant on another device.
Rivian is part of a broader automotive trend exploring AI agent integration within vehicle software ecosystems.
