The first solar park that is managed almost alone.

The next level of autonomy

Imagine a solar farm that doesn't wait for problems, patrols itself, tests for faults before they occur and even sends small robots to clean the panels daily without using a single drop of water. Nextracker is basically doing that by leveraging field robotics and artificial intelligence on an already colossal foundation.

Millions of sensors and control nodes distributed over some 100 GW in operation in 40 countries. The ambition is direct and unobtrusive. Transform data into actions and convert actions into energy and return for the asset owner. In practice, the site becomes a closed loop of data and actions. Drones roam the terrain. The ya pipeline reconstructs the site in 3D and cross-references it with the digital twin.

Used by systems like True Capture, autonomous patrol cars detect electrical, mechanical and thermal anomalies in real time, and when the risk is confirmed, the software schedules the correction and activates field resources from the appropriate technician to the correct cleaning robbery at the optimal layout.

Artificial intelligence is not limited to seeing defects.

All of this coexists with the Trackers' sensor network, which feeds failure predictors and optimizes operation hour by hour without interrupting the asset. The models classify severity, estimate energy impact, prioritize queues and suggest the action with the highest ROI in that shift, keeping the human operator in control of what matters, approve, readjust, learn from history and close the loop.

In the event of a fire, computer vision gives early warning, In intermittent failures, machine learning recognizes subtle patterns, In commissioning, 3D Mapping avoids rework, The result is less time reacting and more time generating.

For asset owners, this translates into higher availability, lower operational risks and documented decisions that support the business case throughout the life of the plant, exactly where ROI is redefined.