A Strategic Pivot in the World’s Most Competitive Market

In a market where global giants like Samsung and Xiaomi dominate, HMD is trying a different path to relevance. The Finnish phone-maker, once the steward of the Nokia brand, is betting its future in India on a local AI assistant. With the launch of its Vibe 2 5G, HMD is preloading the Indus chatbot—a product of the Indian startup Sarvam AI—directly onto the device. It is a calculated move to capture a user base that has been largely underserved by English-centric AI models.

This isn't just about adding another app to the home screen. The Vibe 2 5G, priced at ₹10,999 (roughly $114), is a midrange device designed for mass-market appeal. By bundling Indus, HMD is attempting to solve a fundamental friction point in India: language accessibility. The Indus app, powered by a 105-billion-parameter model, supports 22 Indic languages and, crucially, handles mid-sentence code-switching. For a user who fluidly mixes Hindi and English, the AI can follow the context without requiring a linguistic pivot.

The Numbers Behind the Ambition

For HMD, the stakes are high. According to data from IDC, the company’s smartphone market share in India is currently negligible, failing to crack the top 15. While HMD maintains a 4 percent foothold in the feature phone segment, it has struggled to gain traction in the competitive Android space.

Sarvam AI faces its own uphill climb. Since its launch three months ago, the Indus app has seen roughly 293,000 downloads, according to Appfigures. That is a rounding error compared to the 43.9 million downloads ChatGPT has amassed in India. However, HMD’s strategy isn't about competing with OpenAI on raw popularity; it is about distribution. By embedding the assistant into hardware, the companies are bypassing the traditional app store discovery funnel.

“With this partnership, the first thing we want to do is get the Indus app to consumers,” said Ravi Kunwar, HMD’s CEO and vice president for India and APAC. “Once they start using it, we will move to phase two to focus on driving more traction and stickiness.”

Why Feature Phones Might Be the Real Prize

While the Vibe 2 5G is the current focus, the most significant development may arrive in the coming months. HMD is expected to launch a feature phone with integrated Sarvam AI. In a country where hundreds of millions of users still rely on non-smartphone devices, bringing a voice-based, multilingual AI to that form factor could be a genuine differentiator.

Currently, the Indus integration is limited. The app does not support offline usage, and there is no dedicated hardware shortcut to invoke the assistant. It is a standard app-preload model, not a deep-level OS integration. Yet, for investors and industry analysts, this partnership serves as a critical testing ground. If HMD can prove that regional AI adds tangible value to a $100 phone, it could force larger competitors to rethink their own software strategies in emerging markets.

Key Takeaways

  • Hardware-First Distribution: HMD is preloading the Sarvam AI Indus chatbot on its new Vibe 2 5G to bypass app store discovery hurdles in India.
  • Linguistic Focus: The Indus model supports 22 Indic languages and fluid code-switching, addressing a major gap left by English-dominant AI tools.
  • The Feature Phone Play: The partnership is expected to expand to HMD’s feature phone lineup, which could provide a unique entry point for AI in a massive, underserved demographic.

What to Watch Next

Success for this partnership will not be measured by the initial download count, but by retention. The next six months will reveal whether Indian consumers find the Indus assistant useful enough to keep it active, or if it becomes just another piece of bloatware. With Sarvam reportedly eyeing a $300 million funding round at a $1.5 billion valuation, the pressure is on to prove that their model can scale beyond enterprise voice solutions and into the hands of everyday users. If the feature phone integration launches as planned, it will provide the first real data on whether AI can actually move the needle for hardware sales in India’s most price-sensitive segments.