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Country: United Kingdom

At Dynium, we develop autonomous SUV technology. We specialize in high-value, GPS-free environments using computer vision and LiDAR sensors. We have offices in Oxford and a proving ground on a farm in Herefordshire. If you would like to join our team, go for a career. We are currently hiring computer vision and embedded software engineers.

Dynium digitizes the garden.

Using advanced robotics, we develop visual crop analysis systems. This reduces costs for farmers, reduces risks,

increases yields and increases the sustainability of fruit production.

The two principles of the fruit sector are consistency in product quality and reliability of supply. When looking for fruit, they are the values ​​that buyers, cooperatives, packaging companies, processors and supermarkets rely on.

Farms find it difficult to accurately predict the amount of fruit they will be able to sell after harvest.

Whether they grow apples, pears, grapes or citrus fruits, the challenge remains the same.

Storage volumes, logistics, packaging capabilities and labor requirements depend on the amount of fruit.

Farmers must draw up these plans without precise estimates of how much fruit they will receive.


To solve this problem, we took the methods developed for self-driving cars - computer vision,

image analysis, machine learning - and applied their own yield analysis algorithms to develop an autonomous digital garden management system.

History and location

Dynium was founded in January 2016. Our development office is located in Oxford, UK.


Charles was working for a motorsport engineering firm at the world famous Silverstone, where the F1 British Grand Prix was held when he implemented the Dynium robot concept.

From a family that grows fruit, Charles understood the labor challenges many farmers face: recruiting, retaining skills, and rising employment costs. Meanwhile, his experience in developing automotive networking protocols - with a particular focus on reliability and wire-line controllability - has shown that autonomous robotics technology offers significant opportunities.

The result is the Dynium robot

Charles holds a degree in electronic engineering from the University of Warwick, in economic history from the London School of Economics and a master's degree in management, innovation and entrepreneurship from Imperial College Business School.

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