How Sesame Raised $250M to Build AI Agents That Actually Remember You

Sesame, a startup founded by Brendan Iribe (former CEO of Oculus) and Ankit Kumar (ex-CTO at Ubiquity6), has closed a $250 million Series B funding round led by Sequoia Capital. The company launched in stealth mode in February 2025 and is now releasing an iOS app to let people interact with AI agents through voice conversations that sound natural and responsive.

This is significant funding for an early-stage company in a crowded field. It reflects Sequoia's bet that Sesame can compete against established giants like Amazon's Alexa, Google Assistant, and Apple's Siri—and eventually, against smaller rivals like Character.AI and Replika.

What Sesame's Product Actually Does

Before the official iOS launch, Sesame offered demo AI voices called Maya and Miles. Within weeks, over one million people tried them out, and users collectively spent more than 5 million minutes in conversation. That level of engagement suggests people found the experience engaging enough to come back, not just curiosity-driven clicks.

The core difference from most chatbots: Sesame's AI agents have memory. When you talk to one, it remembers what you said before and builds on past conversations over time. Each agent has its own personality and point of view, more like talking to a friend who knows your history than a search engine that starts fresh every time.

The company also built an "Incognito mode" where conversations don't get saved to the Sesame servers or your agent's memory. This addresses a real tension in AI products: people want personalization, but they also want control over what gets stored about them.

The iOS app emphasizes what Sesame calls "ultra-low latency conversation"—meaning the AI responds quickly without long pauses. In the world of voice AI, delay kills the experience; if the agent takes two seconds to respond, it stops feeling like a conversation and starts feeling like you're waiting for a slow computer.

The Hardware Play

Sesame isn't stopping at a phone app. The company is also building smart glasses with AI built in—wearable devices that would let you talk to your AI agent while your hands are free. This is where Iribe's background matters: he spent years at Oculus building VR headsets, so he knows how to think about hardware that sits on your face.

Smart glasses with AI agents are a competitive space. Meta has Ray-Ban smart glasses, and other companies are exploring the category. The challenge is real: you need a battery that lasts, components that don't overheat, good microphones and speakers, and a form factor that doesn't make you look ridiculous in public. It's a harder problem than just writing software.

The broader pattern here echoes what happened in the smartphone era. Back then, companies started with software platforms but eventually realized that controlling the whole package—hardware, software, and services—gave you more power and created a stickier product. Sesame appears to be betting on a similar play, but with AI agents instead of apps.

The immediate question is whether Sesame can pull off both. Building conversational AI and building consumer hardware are different challenges. The company will need to excel at engineering, design, supply chains, and manufacturing—all while keeping the software competitive. Companies have stumbled on this dance before.

The Competitive Landscape

Sesame is entering a field with heavy hitters already in place. Amazon has poured money and effort into Alexa for over a decade. Google, Apple, and others have built conversational AI into their ecosystems. Newer startups like Character.AI have built devoted user bases around AI companionship.

Where Sesame seems to be differentiated is on responsiveness and relationship continuity. Most voice assistants today still feel transactional: you ask them something, they answer, the interaction ends. Sesame's emphasis on memory and personality suggests it's chasing something deeper—more like a coach or a companion you check in with regularly, rather than a lookup tool.

If Sesame pulls off the smart glasses hardware well, that could be a real advantage. Glasses sit on your face all day; they're always with you in a way a phone isn't. A direct interface to your AI agent, worn on your body, could bypass a lot of the friction that makes phone-based competitors awkward. But again, the execution risk is real.

Why This Matters Now

The timing reflects genuine momentum in the industry. OpenAI has released voice capabilities that sound convincing. Google and Amazon are pushing conversational AI hard. The technical barriers that used to make voice AI clunky—poor speech recognition, robotic responses, long delays—are falling.

What's still unproven is whether people genuinely want ongoing relationships with AI agents, or whether this is a novelty. Early numbers are encouraging, but early excitement doesn't always translate to sticky adoption.

Sesame's funding round also signals investor confidence that there's real money to be made in this space—through subscriptions, hardware sales, or licensing the technology to others. The capital influx is a vote of confidence, though it also means the company has to execute against high expectations.

The next 18 months will tell the story. Can Sesame's iOS app build a user base that rivals the incumbents? Can it ship smart glasses that actually work and that people want to wear? And can it convince the market that conversational AI agents are something you want to talk to regularly, not just occasionally?

The technology is getting good enough that it's no longer about whether this is possible. It's about whether Sesame can make people care.