Jaipur Robotics raises €4.3m seed to put computer vision inside waste-to-energy plants
EquityPitcher Ventures and High-Tech Gründerfonds co-lead the round for the Swiss company whose cameras read the waste bunker before the material reaches
Jaipur Robotics, a Swiss computer-vision company founded in 2024, announced a €4.3 million seed round on 7 September 2026. EquityPitcher Ventures and High-Tech Gründerfonds co-led the round. The company sits at Technopole Ticino in Manno, near Lugano, and was founded by Ermes Zamboni, chief executive, and Nikhil Prakash, chief technology officer.
The product is a perception layer for waste-to-energy, cement and biomass plants. Cameras above the bunker flag hazardous items before they reach the furnace, map the calorific value across the heap and track the crane, feeding predictive guidance back to the operator. The company reports 99 per cent accuracy on hazardous-item detection, a European dataset of more than 50 million labelled images and more than five million tonnes of waste analysed each year.
The numbers it puts on plant performance are more than 80 per cent fewer unplanned shutdowns per plant per year and more than €1 million of added value from better waste mixing. The team is around 40 people with R&D in Switzerland and Asia. Inc42 reports deployments across more than 35 European waste-to-energy facilities, an engineering team already running in Bengaluru and a planned Indian legal entity by the end of 2026.
The seed follows a €725,000 pre-seed led by TiVentures in March 2025 and €161,000 from Venture Kick. Proceeds go to market leadership, expansion into new regions and deepening the product into further verticals. “We envision a future where data from waste fully drives safety and automation,” said Zamboni.
Why it matters for AgTech founders: this is the retrofit playbook, sold as a perception layer onto capital equipment that is already paid for rather than as a new machine. Biomass and biogas plants running agricultural residues face the same problem the bunker cameras solve, which is a feedstock that varies load by load and an operator who has to guess. Two things travel from this round into ag. One, the moat is the labelled dataset, not the model, and it took two years of plant access to build. Two, a hardware-light sensing product on someone else's asset reaches revenue years before a full machine does, which is why a deep-tech seed of this size is available to it at all. Ag founders sitting on a heavy machine roadmap should ask which slice of it could ship first as a camera and a subscription.
Jaipur Robotics raises €4.3m seed to put computer vision inside waste-to-energy plants
EquityPitcher Ventures and High-Tech Gründerfonds co-lead the round for the Swiss company whose cameras read the waste bunker before the material reaches the furnace.
Jaipur Robotics, a Swiss computer-vision company founded in 2024, announced a €4.3 million seed round on 7 September 2026. EquityPitcher Ventures and High-Tech Gründerfonds co-led the round. The company sits at Technopole Ticino in Manno, near Lugano, and was founded by Ermes Zamboni, chief executive, and Nikhil Prakash, chief technology officer.
The product is a perception layer for waste-to-energy, cement and biomass plants. Cameras above the bunker flag hazardous items before they reach the furnace, map the calorific value across the heap and track the crane, feeding predictive guidance back to the operator. The company reports 99 per cent accuracy on hazardous-item detection, a European dataset of more than 50 million labelled images and more than five million tonnes of waste analysed each year.
The numbers it puts on plant performance are more than 80 per cent fewer unplanned shutdowns per plant per year and more than €1 million of added value from better waste mixing. The team is around 40 people with R&D in Switzerland and Asia. Inc42 reports deployments across more than 35 European waste-to-energy facilities, an engineering team already running in Bengaluru and a planned Indian legal entity by the end of 2026.
The seed follows a €725,000 pre-seed led by TiVentures in March 2025 and €161,000 from Venture Kick. Proceeds go to market leadership, expansion into new regions and deepening the product into further verticals. “We envision a future where data from waste fully drives safety and automation,” said Zamboni.
Why it matters for AgTech founders: this is the retrofit playbook, sold as a perception layer onto capital equipment that is already paid for rather than as a new machine. Biomass and biogas plants running agricultural residues face the same problem the bunker cameras solve, which is a feedstock that varies load by load and an operator who has to guess. Two things travel from this round into ag. One, the moat is the labelled dataset, not the model, and it took two years of plant access to build. Two, a hardware-light sensing product on someone else's asset reaches revenue years before a full machine does, which is why a deep-tech seed of this size is available to it at all. Ag founders sitting on a heavy machine roadmap should ask which slice of it could ship first as a camera and a subscription.
