About us

Built by an engineer
who can explain it.

Rosen Curie Tech is a small, focused AI engineering company in Bengaluru. We build AI systems for factories that have to pass audits, hit tolerances, and ship on time.

Chandni Singh.

Chandni Singh
FOUNDER · AI ENGINEER · EDUCATOR

Chandni founded Rosen Curie Tech after a decade-plus career working at the intersection of AI engineering and education. She has built production AI systems and taught the underlying ideas to engineers, students, and operators. The combination is rare. Most AI vendors can build the system. Few can explain what it does, why it matters, and where it falls short.

That combination is the company. The work has to ship. The work has to be understood. If an AI system cannot be explained to the people who depend on it, it does not belong on the shop floor.

[Background placeholder] — Chandni studied [institution] and worked at [previous companies/labs] before starting Rosen Curie Tech. Her technical focus has been [vision / NLP / generative AI / industrial AI], with parallel work teaching [students / engineers / professionals].

She started this company because [origin story in one line: what she saw on a factory floor, who she met, what convinced her this work had to exist].

Why Rosen Curie.

The company is named after two people whose work, generations apart, defines how we believe applied science should be done.

Frank Rosenblatt
1928 — 1971
The American psychologist who built the perceptron in 1958. The earliest mathematical model of a learning machine. The foundation that, sixty years later, became the neural networks that run modern AI. Rosenblatt’s legacy is that machines could be taught, not just programmed.
Marie Curie
1867 — 1934
The Polish-French physicist and chemist whose work on radioactivity defined modern science. Two Nobel Prizes, in two different sciences. She insisted that scientific knowledge belonged not to its discoverers, but to everyone willing to learn it. She refused to patent her methods so others could use them freely.

A few things we are not flexible on.

01
AI must be intelligible
If we cannot explain a system in language your shift supervisor understands, we don’t deploy it. AI that cannot be explained does not belong on a shop floor.
02
Work over wonder
We don’t sell wonder. We sell fewer rejections, cleaner audits, and a quieter factory floor. The boring outcomes are the ones that actually matter.
03
Honest about what we don’t know
If a problem is outside our depth or AI is the wrong tool, we say so. The first conversation should leave you with clarity, not a sales deck.

Talk to us.

We’ll come to your factory. We’ll listen. We’ll tell you, in writing, where AI helps and where it does not.

Get in touch