ELISE project finished!
We got funded by ELISE to improve our synthetic data pipeline.
Aug 31, 2022 Read moreData efficient digital phenotyping powered by machine learning for plant breeding and decision making.
Understanding complex interactions between plant genome and environmental conditions.
Video intelligence and observation automation with deep learning.
15 customer pilots in Europe, Asia and Australia.
Innovestor acts as the lead investor in Yield Systems funding round. The total size of the round was EUR 600k.
The AI-powered plant-phenotyping solution was tested in Morocco, Italy, and Finland.
Yield Systems commenced to exist as a spin-out from the Aalto Uni Startup Centre with the goal of democratising AI for plant breeding.
Harri, Linh joined for the TUTLI project. The whole team got EUR 480k from Business Finland to hire a team for technical and business development.
CEO Jussi Gillberg started his PhD on Professor Samuel Kaski's research group that had developed machine learning methods for personalised medicine at Aalto University.
Team specialized in statistical machine learning, data management, video intelligence, and 3D modeling.