So India’s AI scene just got a lot more interesting. At the [India AI Impact Summit 2026](https://www.business-standard.com/technology/tech-news/india-ai-summit-2026-what-is-sarvam-kaze-ai-glasses-pm-modi-wore-126021700973_1.html), Bengaluru-based [Sarvam AI](https://www.sarvam.ai/) unveiled two products that honestly caught me off guard: Kaze, the country’s first homegrown AI smart glasses, and Sarvam Edge, a fully offline on-device AI stack. Both launched as part of Sarvam’s ambitious 14-day, 14-launch blitz, and they’ve been all over [Business Standard](https://www.business-standard.com/technology/tech-news/india-ai-summit-2026-what-is-sarvam-kaze-ai-glasses-pm-modi-wore-126021700973_1.html), [WION News](https://www.wionews.com/trending/what-is-sarvam-kaze-india-s-first-indigenous-glasses-pm-modi-wore-at-ai-impact-summit-2026-1771319066279), and [StartupNews.fyi](https://startupnews.fyi/2026/02/15/sarvam-edge-indian-ai-firm-pushes-offline-models-to-reduce-cloud-spending-as-ai-impact-summit-nears/) since.
Let’s talk about Kaze first. Prime Minister Modi himself was the first person to try the glasses on stage, which is the kind of endorsement money can’t buy. The glasses listen, understand, respond, and can even process what you’re seeing in real time. The standout feature is support for 10+ Indian languages with live translation and voice interaction. Think of it as India’s answer to Meta’s Ray-Ban smart glasses, but purpose-built for a country with 22 official languages and hundreds of dialects. Retail launch is set for May 2026, though pricing hasn’t been announced yet.
Now, [Sarvam Edge](https://www.sarvam.ai/blogs/sarvam-edge) is where things get technically wild. It’s an entire AI pipeline — speech recognition, translation, and text-to-speech — running completely offline on regular smartphones and laptops. No cloud, no internet, no per-query costs. The system packs a multilingual speech recognition engine into a 74-million-parameter model covering 10 Indian languages, and handles bidirectional translation across 110 language pairs without routing through English as an intermediary. For a country where reliable internet access is far from universal, this is a massive deal.
What makes this interesting beyond India is the broader play. Sarvam was one of 12 organizations picked by the Indian government to build sovereign AI models, and they’ve got their [open-source cookbook and tools on GitHub](https://github.com/sarvamai). The fact that they’re pushing both a consumer hardware product and a lightweight on-device inference stack at the same time tells you they’re not just building models in a lab — they’re shipping real products for real constraints. Keep an eye on this one.
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