CollectiveCrunch collects technical, climate, and geographical data to crunch this information for deeper insights and predictions. They see technical data in the context of climate and geo data and predict key parameters with machine learning.
CollectiveCrunch is becoming a leading provider of AI to the forestry sector in Finland. Their product aims to disrupt the way the forestry industry purchases and values raw material assets.
CollectiveCrunch needed a UI (front-end) layer of the app developed for their partner. The challenge was the stability of a paper production machine - there were various issues resulting in machine downtime. The project work also included refactoring of the backend platform to separate machine learning algorithms, an API layer, and data storage.
Espeo developed the application’s UI for monitoring sensor data. The app communicated with the client backend server via an API and WebSockets and displays machine sensor data in real-time. It also visualized data in the form of clear and useful charts. Espeo was also involved in the backend development and deployment of the system to the Azure cloud.
Agile project management