
EdenCore is an agtech company redefining how orchards and vineyards are managed. Our core innovation, Viewer, is a cutting-edge visual monitoring and automation system powered by AI, designed to…

EdenCore is an agtech company redefining how orchards and vineyards are managed. Our core innovation, Viewer, is a cutting-edge visual monitoring and automation system powered by AI, designed to…
Product: Viewer — AI-powered visual monitoring and automation system for orchards and vineyards
HQ: Athens, Greece
Founders: Nikolaos (Nikos) Mylonas and Spyridon Fountas
Employees: 17
Reported funding: €400k (Oct 2024); later reporting of €0.9M seed round
Orchard and vineyard crop monitoring and precision automation for specialty/high-value agriculture.
2021
AgTech
€400,000
Reported investment announced to advance AI solutions and European expansion.
€900,000
Company post reports a €0.9M seed round with participation from Loggerhead Ventures, AGROMA and Theti Club angel investors.
“Uni.Fund (lead), participation from Loggerhead Ventures, AGROMA and Theti Club angels”
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Company Description
EdenCore is an agtech company transforming fruit farming with innovative technology. The company’s flagship product, Viewer, utilizes advanced AI to provide precise visual monitoring and automation of individual plants, offering tree-level health and production insights. This revolutionary approach empowers growers to reduce fertilizer and pesticide usage by up to 40%. Currently, Viewer has a presence in more than 10 countries worldwide, addressing some of the most pressing challenges in several agricultural scenarios.
Role Description
This is a full-time opportunity for a Senior Computer Vision Engineer, working hybrid in Athens, GR. The role involves developing and improving computer vision algorithms to enhance EdenCore’s Viewer system for agricultural monitoring and automation. Key responsibilities include designing and implementing solutions for object detection, depth mapping, and plant health assessment, as well as collaborating with cross-disciplinary teams to integrate computer vision in production workflows. The candidate will lead the team building the perception-based services.
Qualifications
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