Percepto's AI platform cuts field inspection time by 52%

What happened

Austin-based Percepto announced an expansion of its inspection-intelligence platform, upgrading its proprietary Autonomous Inspection & Monitoring (AIM) software to combine drone-collected data with computer vision, machine learning, and advanced sensors. The platform now consolidates data from multiple sources—drones, static cameras, satellite information—into a single location and uses contextual AI to automate inspections of assets like transmission lines and utility poles.

Why it matters

Energy companies, oil and gas operators, and electric utilities face pressure to produce actionable data at scale. Percepto's system is designed to replace the traditional model of field crews driving for hours to inspect distant assets, enabling the same personnel to spend time fixing problems rather than searching for them. A Chevron pilot study found a 52% savings in time allocation for field teams using the system.

What to watch

The platform is designed to mimic how human inspectors work—knowing what data to capture and how to communicate findings. Typically, under its alert service level agreements, customers are alerted to an issue within one hour of the anomaly being detected. The drones are manufactured in Israel and are compatible with U.S. cybersecurity requirements.