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 […] The post Swiss…
Swiss AI startup Jaipur Robotics secured €4.3 million in seed funding to broaden its AI operating system for waste-to-energy (WtE) plants. The funding round, led by EquityPitcher Ventures and High-Tech Gründerfonds (HTGF), will help Jaipur Robotics solidify its market position, explore new territories, and enhance the depth and capabilities of its product offerings.
Founded in 2024 by Ermes Zamboni and Nikhil Prakash, Jaipur Robotics specializes in computer vision and AI solutions tailored for industrial sites, including WtE, cement, and biomass plants. The company's technology addresses crucial operational challenges faced by WtE plants, such as hazardous object detection, optimal combustion, and the scarcity of specialized operators.
Key features of Jaipur Robotics' technology include oversized and dangerous item detection in bunkers and truck unloading bays, calorific value mapping (Lower Heating Value - LHV) of waste, and crane-tracking solutions for precise, real-time monitoring and operational status prediction of overhead cranes. These tools enable crane operators to effectively mix waste before it enters combustion chambers, guided by an intuitive heat map that highlights areas with varying calorific values.
In March 2025, Jaipur Robotics raised €725,000 in pre-Seed funding, and later secured an additional €161,000 from Venture Kick. The company's co-founder and CEO, Ermes Zamboni, expressed his vision of leveraging waste data to drive safety and automation throughout plant operations.
With the largest European WtE dataset, encompassing over 50 million labelled images, Jaipur Robotics' system analyzes more than 5 million tonnes of waste annually, achieving a 99% accuracy rate in detecting hazardous materials. Investment Manager at HTGF, Anna Stetter, commended Jaipur Robotics' unique combination of a robust dataset, founding team with diverse expertise, and measurable results, highlighting the significance of this €4.3 million investment round for the startup's expansion plans.
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