Even Realities Hits $1B Valuation With $150M Round, Betting That AI Glasses Don't Need Cameras
Chinese smart glasses startup Even Realities raised $150 million in a pre-Series B led by Meituan and Tencent, achieving unicorn status at a $1 billion valuation. Founded by ex-Apple engineers in 2023, the company's G2 glasses deliberately exclude cameras — a counterintuitive bet that privacy, not content capture, is what will drive mainstream adoption of always-on AI wearables.
Meta’s Ray-Ban glasses sold millions of units by putting a camera on your face and calling it AI. Even Realities is raising hundreds of millions of dollars by refusing to do that.
The Shenzhen-based smart glasses startup announced on July 6 that it has raised $150 million in a pre-Series B round led by Meituan and returning investor Tencent, pushing its valuation to $1 billion. The round makes Even Realities the latest Chinese consumer hardware company to achieve unicorn status while selling a product that is, by design, absent the feature everyone else is racing to add.
The Privacy-First Architecture
Where Meta, Snap, and a growing cohort of AI wearable startups are building camera arrays into their frames — enabling continuous visual capture, AI scene analysis, and always-on recording — Even Realities has made a different architectural commitment. The company’s Even G2 glasses, which launched in November 2025, include no cameras. Instead, they feature a heads-up display that beams information directly into the wearer’s line of sight using a proprietary “Holistic Adaptive Optics” system that integrates custom microchips, waveguide displays, and support for prescription lenses.
The interaction paradigm is controlled through the Even R1 companion smart ring, which allows wearers to scroll notifications, activate AI functions, and navigate the display without touching the frames. Voice commands are processed locally and converted to text rather than stored as audio recordings — a design decision that addresses one of the most common objections to always-on AI devices.
“Smart glasses are probably the most personal computing device people will ever wear,” CEO Will Wang told TechCrunch. “The question isn’t just what they can do. It’s what they capture.”
Wang’s framing captures the company’s market thesis: that the limiting factor for mainstream adoption of smart glasses is not capability, but trust. And trust, in this reading, requires the physical absence of a camera rather than policy assurances that footage won’t be stored.
Apple Pedigree, Luxury Execution
Wang spent years at Apple working on the Apple Watch and iPhone, and the company’s founding team includes veterans of the company as well as professionals from luxury eyewear brands, including Danish frame maker Lindberg. That unusual combination — Silicon Valley product thinking applied to the aesthetics and manufacturing standards of high-end eyewear — is visible in the product. Even G2 frames are priced at $599, with average orders running approximately $1,000 when accessories are included.
The customer profile reflects the premium positioning: Even’s user base skews heavily toward male professionals aged 30 to 50, with roughly one in three users being a company executive. That is a small, high-disposable-income segment, but it is also the segment that has historically driven initial adoption of enterprise-adjacent consumer devices — the same demographic that made BlackBerry dominant in early smartphones and drove initial Apple Watch sales before the product broadened.
The company has not disclosed total revenue figures, but it describes itself as “a profitable player” — an unusual claim for a hardware startup at this stage, and one that implies its margins on $1,000 average order values are meaningful.
Early Traction: Crossing the 10,000 Unit Threshold
Even Realities claims to be the first company in the AI smart glasses category to ship more than 10,000 units of a first-generation product. That metric carries weight in a category where most competitors have either shipped far fewer units at limited scale or pivoted before reaching meaningful volume. The first-generation Even G1 achieved that milestone, providing the proof of market demand that justified Meituan and Tencent’s bet on the G2.
Geographic distribution of that user base is telling. More than 50 percent of Even’s customers are in the United States, which CEO Wang describes as the company’s fastest-growing market. Japan, South Korea, the Middle East, and Europe round out the rest. Notably, Even has no domestic China sales — a strategic choice that reflects both regulatory caution and a deliberate brand positioning as a global, privacy-forward product rather than a domestic consumer play.
The company has grown from roughly 35 employees in 2024 to 300 to 400 today, a 10x headcount expansion in roughly 18 months that mirrors the product’s commercial momentum.
The Investor Thesis
The Meituan and Tencent-led round reflects a specific kind of strategic logic. Both investors are among the largest Chinese technology platforms and both have significant stakes in the future of how computing moves off screens and onto human bodies. Meituan’s interest in wearables connects to its broader ambitions in physical-world AI and logistics; Tencent’s investment follows its earlier participation in Even’s pre-Series A, suggesting conviction deepened as the product matured.
Prior backer HSG — formerly known as Sequoia China before the global Sequoia network separated — provides continuity with the company’s earliest institutional supporters. The full investor roster signals that Even is not a niche hardware curiosity but a company that sophisticated technology investors with real consumer platform context believe can scale.
A Bet Against the Camera-First Consensus
The more interesting question about Even Realities is not whether its current product works — the market evidence suggests it does — but whether its privacy thesis will prove durable as the AI wearables category matures.
The camera-equipped camp has a powerful counterargument: real-time visual intelligence is the most contextually useful capability an AI assistant can have. A wearable that can see what you are looking at, identify objects, read text, and provide visual context without requiring you to describe the scene aloud is fundamentally more capable than one that cannot. Meta’s Ray-Ban line, Snap’s Spectacles, and Apple’s eventual AR hardware all assume that visual capture is the point.
Even’s response is that this assumed use case runs into a structural problem: nobody wants to walk into a private meeting, a bathroom, or a children’s classroom wearing a device that records video. The social acceptability ceiling on camera-equipped glasses is lower than their technical capability, and that ceiling will tighten as awareness of what the glasses can capture increases. Display-first glasses, by contrast, have no recording capability to disclose or legislate.
Whether that thesis proves correct will ultimately be decided not by investors or product designers but by consumers — specifically, by whether the privacy-conscious professional demographic can sustain a mainstream market for premium AI glasses or remains a niche. With $150 million in fresh funding and a profitable operational base, Even Realities now has the resources to find out.