Arc raises $10.76M seed led by a16z to take on the AI drive-thru — again
What's the deal? ArcDealroom has a profile for this one. Try Dealroom →, a voice AI startup founded by SquareDealroom has a profile for this one. Try Dealroom → and Cash AppDealroom has a profile for this one. Try Dealroom → veterans Mike MacLennan and Ali Hussain, has raised $10.76 million in seed funding led by Andreessen Horowitz. The company builds AI systems that take drive-thru orders autonomously, and says it is already working with two major fast-food chains, each with hundreds of locations.
Arc claims its system can complete orders on its own more than 95% of the time while lifting average order value by 4% to 5% through smarter upselling.
Why now? The first wave of AI drive-thru experiments left a trail of doubt. McDonald's ended its IBMDealroom has a profile for this one. Try Dealroom → automated ordering pilot in 2024 after running it in more than 100 restaurants — viral wrong orders made the technology look unfinished.
Arc argues that newer models, trained on real drive-thru conversations and tuned for brand-specific menus, accents, and order patterns, can finally clear the reliability bar. It also gives operators the ability to A/B test model variants in real time — measuring speed, accuracy, and ticket size — turning the lane into something closer to an e-commerce funnel.
What could go wrong? The drive-thru remains one of the hardest environments for voice AI: noisy, rushed, full of interrupted orders, engine sounds, and customers who change their minds mid-sentence. A bad order slows the line, frustrates the customer, and pulls a human worker back into the loop.
Arc also faces stiff competition. SoundHound AI, Presto, and restaurant chains themselves have all been circling automated ordering. Yum Brands has expanded voice AI across Taco Bell drive-thrus and explored broader automation through its Nvidia partnership.
The signal: Arc is not pitching drive-thru AI as a labour replacement story. It is pitching it as a data layer for a channel that generates most of a quick-service restaurant's revenue yet offers operators little visibility into what works and what doesn't.
In a business where margins are thin, a few percentage points of order lift matter — especially if the system also frees workers to focus on food prep and problems that still need human judgement. The broader bet: voice AI is maturing past the demo stage and into the messy, margin-sensitive world where it actually has to perform.
Read more: startupfortune.com
