The mCloudTech team uses Vertex AI to power many of its solutions. For wind energy clients, mCloudTech developed over 60 machine learning models using Vertex AI to account for diverse factors that negatively and positively impact wind turbine operations.

For example, mCloudTech will assess 50 wind turbines based on the flow of the wind and use AI to identify which turbines’ blades are misaligned and then identify the causes. Wind turbines have local control systems that point the blades, and mCloudTech’s systems assess whether the controls are working correctly. Vertex AI helps the mCloudTech platform quickly adapt to changes in conditions, identify equipment degradations, and boost wind energy output through best-in-class AI.

For oil and gas clients, mCloudTech experts draw on prior computer vision experience in the avionics and aerospace industries. This know-how helps the company develop solutions that converge infrared, optical, and computer vision AI with imagery and data from Google Earth Engine and methane-detecting satellites. mCloudTech’s solutions enable clients to rapidly identify leaks in pipes and valves that otherwise might only be physically inspected once a year.

Further, many companies track carbon at the facility or company level, but mCloudTech believes that they need to work in the manufacturing systems to track carbon at the lowest possible level in order to drive improvements. With Google Cloud partner Zazmic, mCloudTech is building a new carbon tracking database, and is developing AI agents to simplify the database’s integration with ERPs such as SAP and ensure carbon traceability for accurate accounting.

mCloudTech evaluated a number of foundation models for some of its newer facilities and asset management solution initiatives. Gemini emerged as the best option among more than a half dozen alternatives.