A founder from Odisha who has spent a decade learning to build software that is useful before it is impressive.
I grew up in a small town in Odisha, in a house where curiosity was treated like a daily chore. My grandfather kept ledgers in three scripts. My mother taught me the difference between speaking and being heard. My first computer was second-hand and unreliable; it taught me patience before it taught me anything else.
I have been a founder since I was nineteen. The first company I started — atCampus — was a campus life network built with four friends. It failed in the way most first companies do: slowly, and with great affection. What it gave me was the only education that ever mattered: how to lose a quiet argument with reality, and start again on Monday.
Today I lead Sulopa Technologies, an AI-native studio building Lopaa, Hirepool, ManuAdda and QRcodx. We are eight people, on two floors, in a city that the Indian startup map has been slow to color in. We like it that way. Constraints are a form of clarity.
I write code most weeks. I prefer a codebase I can hold in my head, a roadmap I can defend in one paragraph, and a product that earns the right to its next feature.
I have hired, fired, paid salaries from personal savings, sat with unhappy customers, and learned that culture is the residue of how you handle bad weeks.
I read about consciousness, hospitality, manufacturing, and Indian small business as much as I read about machine learning. The interesting answers are between fields.
Satyabrat Rauto is the founder & CEO of Sulopa Technologies, an AI-native venture studio building Lopaa, Hirepool, ManuAdda and QRcodx. Based in Bangalore, India, he has spent the last decade designing products at the intersection of small business, hospitality, hiring and consciousness — with a stubborn belief that AI is best used to return time and dignity to the people who do the work.
He started his first company, atCampus, at 19, pivoted into manufacturing with ManuAdda, weathered the pandemic by building QRcodx for the hospitality industry, and is now focused on building the operating layer for human-first AI.
I walk five to seven kilometres most evenings. It is where most of the product decisions of the last three years were made. I read fiction at night — it is the only honest reset.
I am quietly obsessed with hotels, kitchens, and the way old institutions in India still run on memory rather than software. I think the next decade of AI in India will be written by people who respect both.
I write a slow newsletter, take black-and-white photos in the city I live in, and try to be home for dinner.