The CEO of TWO AI believes the focus has shifted from developing large language models (LLMs) to applying them to real-world problems
Pranav Mistry, CEO, TWO AI
In the heart of Silicon Valley, a Palanpuri technologist, entrepreneur and computer scientist from Gujarat has a straightforward message: There are enough foundational models, and it’s time to focus on creating value-driven, second-layer AI models that can transform both industries and everyday life.
The AI era has entered a new phase, says Pranav Mistry, CEO of TWO AI. The focus, he believes, has shifted from developing large language models (LLMs) to applying them to real-world problems. “We’ve moved beyond building foundational models. They’re now widely available and increasingly commoditised,” says Mistry. “Our focus is on what comes next: Compact, high-performance second-layer models distilled with deep domain expertise, models that understand the nuances of specific industries and context.”
Two AI’s approach reflects a broader industry shift toward second, third, and even higher-layer models—smaller, specialised systems trained with teacher-student distillation for enterprise and consumer use. The company initially trained its own foundational LLM called SUTRA, which supports over 50 languages, including Hindi, Gujarati, Korean, Arabic, Japanese and others, and which it claims outperforms some of the more prominent models in the industry, in multilingual capabilities.
Their goal is to grow into a platform that connects one billion AI users. If the first billion users were English-based, the next billion will come from non-English-speaking countries such as Asia and the Middle East, he says, adding, “We see tremendous potential in building AI that’s deeply contextual to local languages, workflows, and cultures.”
(This story appears in the 13 June, 2025 issue of Forbes India. To visit our Archives, click here.)