Swiss startup Jaipur Robotics raises €4.3 million to expand its AI operating system across more waste-to-energy plants
Jaipur Robotics, the Swiss AI company transforming waste plant operations with computer vision and automation, today announced a €4.3 million Seed funding round to pursue market leadership, expand into new regions, and further verticalise and broaden the product depth.
The round was led by EquityPitcher Ventures and High-Tech Gründerfonds (HTGF). In March 2025, the company announced the successful closing of a €725k pre-Seed funding round led by TiVentures SA, and a few months later, it secured an additional €161k from Venture Kick.
“We envision a future where data from waste fully drives safety and automation. This round enables us to revolutionise entire plant operations,” Ermes Zamboni, co-founder and CEO of Jaipur Robotics.
Founded in 2024 by Ermes Zamboni and Nikhil Prakash, Jaipur Robotics develops computer vision and AI solutions for industrial sites, including Waste-to-Energy (WtE), cement, and biomass plants, making them safer, smarter, and more efficient.
According to the company, WtE plants convert non-recyclable waste into energy, but they face several operational challenges, including the presence of hazardous objects (e.g., gas cylinders, concrete blocks) that can cause costly shutdowns, difficulties in ensuring optimal combustion due to the variability of waste materials, and a shortage of specialised operators to oversee and manage the waste bunkers.
Through its products, the company offers oversized and dangerous item detection in bunkers and truck unloading bays, calorific value mapping (Lower Heating Value – LHV) of waste. Its technology leverages deep learning algorithms and computer vision to enable crane operators to effectively mix waste before it is introduced into the combustion chambers. Operators receive clear, real-time visual guidance through an intuitive heat map that accurately highlights areas of higher and lower calorific values within the bunker.
The company also offers crane-tracking solutions that provide precise, real-time monitoring and prediction of the position and operational status of one or more overhead cranes within the bunker of a Waste-to-Energy plant.
Highlighting its impact, the company reported the following results, calculated per plant per year:
- More than 80% fewer unplanned shutdowns via real-time hazard detection.
- Over €1 million in added value from improved waste mixing as calorific-value mapping optimises combustion and compliance.
- Smarter crane operations with predictive guidance automating crane control and maximising productivity.
With the largest European WtE dataset, comprising over 50 million labelled images, Jaipur Robotics’ system analyses more than 5 million tonnes of waste per year and detects hazardous materials with 99% accuracy.
Anna Stetter, Investment Manager at HTGF, said, “What convinced us to co-lead this round is the combination of a dataset, a founding team with rare depth across mechanical engineering, deep learning, and industrial deployment, and outstanding, measurable results at customer sites.”
Headquartered at Technopole Ticino in Manno, near Lugano, Switzerland, the company has a 40-person team and two R&D centres in Switzerland and Asia. It is actively growing its team across AI, engineering, and commercial roles.
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