Sarvam Kaze AI Smart Glasses: India Launch, Galgotias Controversy & White-Label Reality Check

Sarvam AI's Kaze smart glasses mark a bold step into AI wearables, showcased recently at India's AI Impact Summit. From an XR industry perspective, they spark hope for genuine homegrown hardware amid a landscape dominated by rebranded imports.

Key Specifications

Kaze features embedded cameras and microphones for real-time visual capture, voice command processing, and contextual responses powered by Sarvam's Edge AI model for offline operation. The clean spectacles-style frame supports low-latency AI interactions in Indian languages, with a chat feature rolling out soon, though detailed specs like battery life, display resolution, or processor remain undisclosed.

Expected Launch and Pricing

The glasses are slated for commercial launch in India by May 2026, positioning them as a rival to Meta's Ray-Ban smart glasses. No official pricing has been announced yet, leaving room for speculation on affordability in the competitive wearables market.

Galgotias University Incident

At the same India AI Impact Summit, Galgotias University faced backlash for showcasing a "robotic dog" as an in-house innovation, later revealed as a China-made Unitree Go2 model, leading to accusations of misrepresentation and an order to vacate their expo stall. This controversy highlighted scrutiny on "Made in India" claims in AI hardware demos.​

XR Industry Context

In India's XR space, from XR Indian hardware startups to major players who've demoed VR/MR prototypes to PM Modi rely heavily on Chinese OEM hardware for AR/VR/AI glasses, rebranded locally due to limited domestic manufacturing scale. Our XR background reveals this pattern persists across startups and incumbents, as India's hardware ecosystem lags behind its software prowess—unlike China's AR leaders like XREAL.

Hope for True Innovation

We hope Kaze breaks this mold, truly built from scratch in India as claimed by Sarvam's Bengaluru team, fostering real change in the hardware sector. If it delivers on indigenous design without white-label roots, it could catalyze a shift toward self-reliant AI wearables.