WideOps supported SatYield by migrating their on-prem infrastructure to GCP, implementing Vertex AI Workbench for advanced data analytics, designing a robust BigQuery data warehouse, and building Looker dashboards for improved customer accessibility.

The Challenge
In order for SatYield to map, monitor, and deliver accurate predictions for 1.6 billion acres of crop lands yearly, they had to process terabytes of satellite imagery and datasets. As such, SatYield needed scalability and power to handle real-time calculations and insights for customers, as well as the infrastructure to deliver accessible and interactive solutions.

The Solution
WideOps addressed these challenges by migrating SatYield’s algorithms and code to GCP, enabling scalable and efficient data processing. The project included implementing a Vertex AI Workbench for advanced data analytics, designing a BigQuery data warehouse for managing large datasets, and building Looker dashboards to expose real-time insights to customers in an accessible and interactive manner.

The Result
WideOps delivered significant outcomes for SatYield. Operational costs were reduced through efficient cloud computing on GCP, while Looker dashboards provided seamless access to real time insights for customers. With these advancements, SatYield gained recognition, winning a spot in TechCrunch Disrupt Startup Battlefield 2024, which brought valuable exposure and numerous new opportunities.