We didn't start with a product.
We started with a problem.
India generates over 160,000 tonnes of waste every day. Less than 30% is properly sorted. The rest — contaminated, lost, landfilled. We are here to fix that, one bin at a time.
A problem too big to walk past.
EnviroVision began not in a boardroom, but in a university research lab. Our founder and Chief Science Officer, Diotima Bose, was deep into her PhD in Environmental Science when she encountered a question that wouldn't let her go: why, despite decades of awareness campaigns, does India still lose over ₹1 lakh crore every year in recyclable material?
The answer wasn't apathy. It wasn't a lack of education. The answer was infrastructure — or more precisely, the absence of it. India had no affordable, automated system to sort waste at the point it was generated. Every solution either required people to change their behaviour, or cost so much it was only viable for wealthy Western cities.
“Most startups build a product and hope it becomes valuable. We inverted this. We started with the IP — then built the product that commercialises it.”
So Diotima filed a patent. Not a business plan — a patent. A mechanical sorting mechanism that could sit inside a single bin and automatically separate metallic from non-metallic waste, with no human input required. That patent became the foundation of everything EnviroVision is building today.
Alongside her, Sayantani Nandy — a serial entrepreneur who had previously raised over $10 million for a sustainable deep tech startup — saw what the technology could become at scale. And Mallar Das, a hardware and software engineer with full-stack embedded systems experience, joined to turn the patent into a real product that could be deployed, measured, and scaled.
Three founders. Three disciplines. One shared belief: India's environmental challenges are infrastructure problems, not behaviour problems. Fix the infrastructure, and everything else follows.
Automated, not aspirational.
We don't ask people to change their habits. We build the systems that remove the need to.
Our Mission
To build technology that makes environmental responsibility automatic — eliminating the friction between intention and action for every Indian city, company, and community.
Our Vision
A future where India's cities are clean, measurable, and self-sustaining — where every tonne of waste that can be recovered is recovered, automatically, and the data proves it.
Our Mantra
Innovate, Inspire, Impact. Every product we build starts with proprietary IP, generates real-world data, and compounds into a stronger platform with every deployment.
The principles that guide us.
These aren't values we put on a wall. They're the decisions we make every day.
Infrastructure over awareness
The world doesn't need more campaigns asking people to sort their waste. It needs bins that do it for them. We build infrastructure, not nudges.
Data before policy
You cannot manage what you cannot measure. We build the data layer that gives India ground-truth environmental intelligence for the first time.
India-native, not India-adapted
Indian waste is different. Indian budgets are different. Indian buildings are different. We design for India from day one — not as an afterthought.
Ship, learn, iterate
A working prototype beats a perfect design document. We move fast, benchmark everything, and let data — not gut feel — drive every decision.
Founders built to go the distance.
Three co-founders. Three disciplines. One mission.
Sayantani Nandy
Serial entrepreneur who previously raised over $10 million for a sustainable deep tech startup. Sayantani leads company strategy, fundraising, and investor relations — bringing operational discipline from scaling a company in a hard market.
Diotima Bose
PhD candidate in Environmental Science, based in the US. Original patent holder and the scientific backbone of EnviroVision — Diotima defines the waste classification framework, IP strategy, and the ESG methodology that makes our data credible.
Mallar Das
India-based engineer who owns the full technical stack — from hardware design and sensor integration to AI model training, cloud backend, and firmware. Prior startup experience building hardware-software integrated products from scratch.
Subrata Bose
Corporate structuring, funding strategy, and investor network.
Dr. Somraj Guha
Team structure, process design, and pharma research background.
Dr. Gurmeet Kaur
Campus access, academic credibility, and student team pipeline.
If this problem excites you, you belong here.
We are not looking for employees. We are looking for people who see the same problem we see and want to spend years solving it.