We are working for the future of a more sustainable agriculture

AI Based AgTech
Solutions


We add an “eye” to the tractors!


Our hands on the keyboard, feet on the field. Because we are farmers and engineers.


We increase the agricultural efficiency by 20% and support the food industry to feed 10 Million more people!


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950+

Autonomous Hours


97%

Precision


105

Hectares

ABOUT US

WHO ARE WE ?

We are a lean startup founded by a group of farmer-child engineers who develop new generation agricultural solutions with computer vision and artificial intelligence softwares, sensor fusion and IoT technologies. We’re developing hands-free autonomous driving kits and agricultural big data analysis software for tractors.

MISSION AND VISION

We always provide up-to- date innovations with our solutions thanks to the awareness that the future is in technology and innovation.

We aim to be a company that develops high value-added projects and products, by relying on our engineer team that always aims to progress and continue as non-stop.

OUR TEAM

We work with our engineer staff who have interdisciplinary competencies, from business to technic as including Sales, Computer & Software, Electrical- Electronics, and Mechatronics engineers.

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OUR TECHNOLOGY

Our core technologies are Computer Vision, Artificial Intelligence and Sensor Fusion (IoT) technologies.

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Computer Vision

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Artificial Intelligence

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Sensor Fusion (IoT)


OUR SOLUTIONS

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TASAI

TASAI is an AI based autonomous tractor kit. By transforming the tractor, it eliminates the necessity of the operator with level-4 autonomy and allows the tractor to work on its own and reducing the use of chemicals.

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MCP

MCP, MOVE ON AgTech Cloud, together with TAS and TASAI kits working in the field as an agriculture cloud platform, enables many agricultural vehicles such as drones, farms and satellites to be cloud-connected.

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TAS

TAS is a level-2 vision guidance based tractor automatic steering kit. It allows the optimization of inputs such as product, seed, fertilizer and fuel, by moving the tractor on the optimal route.

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OUR REFERENCES

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