A focus that looks like a limitation but is actually leverage
When founders hear that Sitio Labs only builds AI-native companies for India, the first reaction is often that we are leaving the larger US market on the table. The opposite is true: India in 2026 has over 950 million internet users, the cheapest data in the world at under ₹15 per GB, and a population that leapfrogged straight to mobile-first, UPI-native digital behaviour. Building for this context forces a discipline — affordability, vernacular, low-bandwidth resilience — that a US-first studio never develops. Constraint is the most underrated form of leverage in venture building.
The problems worth solving here are not the problems worth solving there
A studio optimising for San Francisco builds developer tools, sales-automation SaaS, and prosumer productivity apps because that is where willingness-to-pay concentrates. India's highest-value problems are different: credit access for the 63 million MSMEs that the World Bank estimates face a $530 billion credit gap, vernacular healthcare for tier-3 towns, and AI tutoring for the 250 million students in a school system short on teachers. These are not smaller versions of Western problems — they have no Western analogue. We focus on India because the problems here are both more urgent and more defensible.
Bharat is where the next wave of internet users actually lives
The metros — Mumbai, Delhi, Bengaluru — are largely saturated, and the marginal new internet user in India now comes from tier-2 and tier-3 towns like Surat, Nagpur, Coimbatore, and Patna. This Bharat cohort speaks Hindi, Marathi, Tamil, and Bengali far more than English, transacts in small ticket sizes, and trusts voice and video over text. An AI-native company built in English for an urban elite simply cannot reach them, which is why we design vernacular-first and voice-first from the prototype stage. Building for Bharat is not charity; it is where the growth is.
Local context is a moat that foreign capital cannot buy
A US-based AI company can raise a larger round, but it cannot easily replicate an understanding of how a Tamil Nadu textile cluster manages working capital or how a Bihar farmer decides when to sell produce. This contextual knowledge — regulatory nuance under the DPDP Act, GST workflows, RBI lending norms, regional trust dynamics — compounds inside a studio that lives and builds here. Our team in Mumbai talks to users in Indore and Madurai every week, not through a research vendor. That proximity is a durable advantage that capital alone cannot purchase.
India-first is a path to the world, not away from it
Choosing India does not mean abandoning global ambition; it means sequencing it correctly. A company that learns to deliver AI profitably at Indian price points and across multiple languages is uniquely equipped to expand into Indonesia, Nigeria, Brazil, and the broader Global South where the same constraints apply. India is the hardest training ground for affordable, multilingual, mobile-first AI — and what is forged here travels. We build for India first because it is the best possible preparation for building for the next four billion people.