Table of Contents

• You might want to know


• Main Topic


• Key Insights Table


• Afterwards...

You might want to know

1) What makes an optical module suitable for truly wearable AI glasses rather than bulky headset prototypes?

2) How can a component as small as a thumbnail change battery life, image brightness, and real-world adoption?

Main Topic

The drive to place augmented visuals directly into everyday eyewear has accelerated as major technology companies and manufacturers race to deliver consumer-ready AI glasses. Over the last several years, industry leaders have advanced competing hardware platforms: Meta released AI-enabled Ray-Ban models, Google is progressing Android XR, Apple is widely expected to join the market, and Samsung, in partnership with Gentle Monster, reportedly planned AI-capable glasses. Chinese companies including Huawei, Alibaba, and Xiaomi are also active in the category. These moves, combined with rapidly increasing shipments—estimated at 8.7 million units in 2025 and projected to pass 15 million this year—show the category shifting from concept to scale.

But hardware readiness does not hinge on brand names alone. The core engineering challenge that will determine whether AI glasses become a practical, everyday device lies in the optics: the tiny projection modules that present images in the wearer’s field of view. A startup from South Korea, LetinAR, has focused its last decade on that precise problem, building optical modules designed to be light, thin, power-efficient, and capable of delivering sharp images—qualities necessary for glasses to feel like normal eyewear rather than a sci-fi headset.

LetinAR’s founders, CEO Jaehyeok Kim and CTO Jeonghun Ha, both longtime friends, founded the company in 2016 and have since attracted strategic backing. The company recently raised additional capital—bringing total funding to around $41.7 million—including an $18.5 million tranche from Korea Development Bank and the venture arm of Lotte, positioning LetinAR for scaling and an intended 2027 IPO in South Korea. LG Electronics has been an earlier investor and, separately, is reportedly developing its own AI smart glasses, underscoring how seriously major consumer-electronics players view the market.

LetinAR does not manufacture finished glasses. Instead it makes the optical module—the component that projects images into a wearer’s eyes. The design trade-offs are stark. Dominant waveguide techniques produce very thin lenses by spreading light across the entire surface. While this enables a slim profile, the approach is inefficient: much of the emitted light never reaches the eye and is wasted, producing dimmer images and higher power consumption. On the other hand, mirror-based or "birdbath" solutions direct light more efficiently to the eye but are bulky, making them unsuitable for ordinary eyewear frames.

LetinAR’s technical approach—branded PinTILT—seeks to reconcile these opposing constraints. By organizing numerous tiny optical elements within the lens and carefully controlling their angles, the system directs light only where it can enter the eye. The result, in principle, is a brighter perceived image produced by a thinner, lighter module that consumes less power than less-directed waveguide solutions. In a product category where every gram of weight and each hour of battery life matters, optimizing the geometry and efficiency of light delivery addresses the most critical user experience issues.

Practically, better optical efficiency impacts multiple outcomes. Brighter images improve usability outdoors and under varying ambient light; higher efficiency reduces the power draw of the display subsystem and so extends battery life; and a smaller module enables conventional frame designs that users will feel comfortable wearing throughout their day. Those three improvements—brightness, battery life, and form factor—are interdependent and central to mainstream adoption of AI glasses. Achieving improvements along all three dimensions in a single optical module represents a meaningful engineering accomplishment and a potential differentiator for suppliers.

LetinAR has already moved beyond lab prototypes to volume production. Its modules are shipping to customers such as Japan’s NTT QONOQ Devices and Dynabook (formerly Toshiba Client Solutions), giving the company real manufacturing scale experience. The company has also engaged in research-and-development discussions with large technology companies building next-generation AI eyewear, though it has not publicly named those partners. The presence of early commercial customers demonstrates that LetinAR’s designs are manufacturable and integrable into end devices today.

An illustrative, demanding use case is Aegis Rider, a Swiss deep-tech spinout from ETH Zurich’s Computer Vision Lab. Aegis Rider is building an AI-powered motorcycle helmet that overlays navigation cues, speed, and safety alerts directly into the rider’s view and anchors these elements to the road surface ahead. Rather than a floating HUD on a visor, the visuals are positioned to appear as if painted onto the world, improving situational awareness. LetinAR’s module is integrated into the helmet, and Aegis Rider intends to target European and Swiss markets with this product in 2026—an example of optics designed for a safety-critical, real-world environment where brightness and latency are non-negotiable.

The smart glasses optics market also includes other established suppliers such as WaveOptics, DigiLens, and Lumus, each pursuing different optical trade-offs. LetinAR’s positioning emphasizes a middle path: the efficiency and brightness advantages of directed optics with the slim profile demanded by consumer eyewear. If its technical claims hold across diverse lighting conditions and production runs, the company could be a key component supplier as the industry moves from early adopters to mass adoption.

Capital from recent funding rounds will support scale-up efforts, manufacturing expansion, and continued refinement of the optical modules to meet the needs of multiple device makers. The optics layer is one of several system elements that will influence the trajectory of AI glasses; software, battery technology, sensors, and user interface design are also essential. Still, improvements at the optical level may unlock better user experiences more quickly than incremental advances elsewhere because they directly affect wearability, visibility, and battery lifetime.

In short, LetinAR exemplifies the kind of supplier-focused innovation necessary to transition AI glasses from intriguing prototypes to everyday hardware. By concentrating on the tiny, high-precision optical component inside a frame, the company targets the narrow technical bottleneck that has constrained form factor, performance, and power efficiency across the industry. If these optics scale successfully, they could be one of the pivotal pieces that make practical, attractive AI glasses widespread.

Key Insights Table

Afterwards...

Looking ahead, the interplay between optical efficiency, battery improvements, and ergonomic design will shape which smart glasses deliver compelling real-world experiences. As suppliers like LetinAR scale manufacturing and refine their optics, other system components—edge AI processing, sensors, UI paradigms, and safety certifications—will determine which devices win mainstream acceptance. If optics suppliers can reliably deliver brighter images in slim packages with lower power draw, those modules could accelerate a wave of consumer and enterprise products that make AI-assisted visual overlays a routine part of daily life.

For investors, manufacturers, and designers, the short-term horizon involves proving repeatable production and integration with major OEMs. For users, the promise is simple: lightweight glasses that feel normal to wear, offer clear visuals in varied lighting, and run long enough on a single charge to be useful. That convergence—better optics, efficient power use, and polished software—will be the true test of whether AI glasses become an indispensable platform or remain a niche novelty.