We took the stage at NVIDIA GTC 2026 alongside PG&E to talk about a challenge utility teams know well: collecting inspection data is only part of the job. The real work is turning that data into something useful fast enough to support maintenance, response, and day-to-day operations.
Our session, “Automating Vision and Reporting for Utility Inspections,” featured Founder and CEO Chris Nielsen and Kellen Kirk of PG&E. Together, they walked through how AI-powered autonomous inspections and automated reporting can help utilities move faster, make better maintenance decisions, and build more resilient operations.
Utilities have made major progress with drone inspections. They can cover more ground, inspect critical infrastructure more often, and reduce the need for manual inspections in harder-to-reach environments. But as those programs grow, so does the volume of imagery. Teams do not need more raw data. They need a faster way to spot issues, generate usable reporting, and decide what happens next.
That is a problem that our platform, InFlightAI, is built to solve.

InFlightAI delivers live, autonomous inspection results and actionable reporting across distributed field operations. It helps teams detect thermal anomalies, identify corrosion, read analog gauges, and generate automated asset condition reporting without requiring people to spend hours working through imagery by hand.
At GTC, we also explored how NVIDIA technologies including DeepStream, Cosmos Reason VLM, Metropolis, VSS, and other tools fit into these inspection workflows. For utilities managing large, distributed infrastructure networks, that means better asset visibility, faster reporting, and a more scalable way to move from inspection mission to follow-up in the field.
That matters even more after major weather events, when inspection volume jumps and response windows tighten. Utilities need to assess conditions quickly, understand what changed, and prioritize next steps. InFlightAI helps close that gap by surfacing the issues that matter faster and giving teams a clearer picture of asset conditions across the network.
We were thrilled to join PG&E at GTC to share how InFlightAI and NVIDIA technologies fit into real utility inspection operations: faster reporting, clearer asset visibility, and a more direct path from drone mission to follow-up in the field.
