Energy and Heavy Industry
Energy transmission and distribution companies and large industrial manufacturers have been pioneers in collecting and analyzing vast amounts of data, whether it’s to manage the power grid or for Just-In-Time supply chain management. What’s new today is the dramatic growth in data due to advancements in metering infrastructure, automation of electrical substations, and unstructured data from satellite and UAV imagery.
This is where we come in.
At Via Science, we believe analytics can play a transformative role in both energy and the heavy industry by saving natural resources and improving the reliability and efficiency of costly critical infrastructure. Our proprietary AI / machine learning architecture, Focus™, is unique in its ability to analyze very wide datasets (thousands of variables) and millions of events per minute, returning predictions and running simulations. Most importantly, Focus™ delivers root cause explanations that provide transparency and accountability, critical to regulated industries and high stakes decisions.
Our analytics is focused on improving reliability and efficiency of expensive and complex equipment and assets. We provide this through:
- Predictions: By analyzing data from critical infrastructure (e.g., substations and hospitals), we can identify and prioritize risks years in advance, giving decision makers the ability to plan the order and timeline for major investment decisions
- Diagnostics: Uniquely, our software can provide transparency into the rationale for recommendations like ways to improve maintenance, cybersecurity, and resiliency planning
- Simulations: Our software can simulate changes in very complex systems (with many thousands of interconnected components) to improve operations and maintenance procedures with a reduced risk of unintended consequences