Nature Robots, a deeptech AI startup founded in 2022 in Osnabrück, Germany, has secured €4 million in seed funding to accelerate its push into autonomous agriculture. The round brings together Climentum Capital, Bayern Kapital, and Planetary Impact Ventures.
Agriculture accounts for over 31% of global greenhouse gas emissions, while nearly 40% of the soil worldwide is degraded. At the same time, farmers face rising costs and a shrinking labour pool due to an ageing workforce.
Nature Robots addresses these challenges by enabling lighter machinery, reducing soil compaction, and automating labour-intensive tasks. The result is a pathway toward regenerative farming systems that are both profitable and sustainable.
With fresh capital, Nature Robots plans to expand its team in Osnabrück, open a new office in Munich, and speed up its market rollout across multiple farming segments.
How was the idea born?
The four founders Dr. Sebastian Pütz, Sven Lake, Gerrit Woeckner, and Malte kleine Piening, have been working together on the idea since September 2019 and have been conducting research in robotics and AI and supporting strategic corporate processes for agricultural machinery manufacturers since 2015.
In January 2022, they founded Nature Robots as a DFKI spin-off. Born out of the German Research Centre for Artificial Intelligence (DFKI), the company combines years of research with practical applications in agriculture. Its base in the Agrotech Valley, home to industry leaders such as Amazone, Claas, Grimme, Andhra Krone, places it at the centre of Europe’s agricultural engineering ecosystem.
Modular autonomy built for real-world farming
At the heart of Nature Robots’ offering is a modular autonomy software platform designed for agricultural machinery. Instead of forcing manufacturers to build complex systems from scratch, the platform allows them to integrate only the functions they need.
“Agriculture faces a ‘triple threat’: We must feed nearly 10 billion people by 2050, while the average age of farmers is already 58. At the same time, traditional agricultural systems account for over 30% of global emissions, and 40% of our soil is already degraded. Our autonomy platform enables machinery manufacturers to embark on the necessary transformation very quickly without having to invest billions in in-house development. With this seed round, we can systematically tap into the core markets,” says Pütz.
The software supports autonomous operation across a wide range of environments, from large-scale fields to speciality crops such as fruits and vegetables, as well as vineyards. It also extends to newer systems such as agri-photovoltaics and agroforestry.
The company’s technology enables machines to navigate both structured and unpredictable environments with high precision. By lowering the barrier to autonomy, Nature Robots acts as a key enabler for equipment manufacturers looking to modernise without long development cycles.
One of the most compelling applications of Nature Robots’ technology is laser weeding. These “spot farming” techniques can cut pesticide use by up to 90%, offering both environmental and economic benefits. The company also claims its AI-driven systems can reduce CO2e emissions by up to 25% through optimised mission planning.
Competitive landscape
In terms of competition, Nature Robots operates alongside a growing cohort of agricultural robotics innovators focused on automation and chemical reduction.
US-based FarmWise is advancing autonomous weeding machines powered by AI and computer vision, directly competing in the precision weed control market. Switzerland’s Ecorobotix is tackling similar challenges with targeted spraying and weeding robots that minimise herbicide use through spot application.
Meanwhile, France’s Naïo Technologies has established itself as a pioneer in autonomous field robots, offering solutions across vineyards, vegetable farms, and large-scale agriculture.
What’s next?
With a growing track record and fresh capital in hand, Nature Robots is now focused on scaling deployment. A key priority is accelerating the design-in phase, enabling its software to be integrated more quickly across entire machine fleets.
