What types of data can Percepto's platform use?

The platform integrates data from Percepto's drone-in-a-box solution as well as other data sources, including static cameras and satellite information, all consolidated into a single centralized location.

How fast does Percepto alert customers to detected problems?

Typically, under its alert service level agreements, customers are alerted to an issue within one hour of the anomaly being detected.

What did the Chevron pilot study show?

The study found a 52% savings in time allocation for Percepto's field teams deploying the system, allowing workers to be much more productive by using insights to go directly to problem locations.

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Percepto launches next-generation inspection software that integrates drone data with AI to help energy companies inspect infrastructure faster and more accurately than traditional field crews.

DRONELIFE13h ago5 min read

Key takeaway

Percepto, an Austin-based company, has launched upgraded inspection software that combines drone data, artificial intelligence, and machine learning to automate infrastructure inspections for energy companies. The system consolidates information from multiple data sources into a single platform and alerts operators to problems within one hour of detection, allowing field teams to focus on repairs rather than searching for issues. A pilot study with Chevron showed a 52% reduction in time spent by inspection crews.

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3 Key Points

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.

FAQ

What types of data can Percepto's platform use?: The platform integrates data from Percepto's drone-in-a-box solution as well as other data sources, including static cameras and satellite information, all consolidated into a single centralized location.
How fast does Percepto alert customers to detected problems?: Typically, under its alert service level agreements, customers are alerted to an issue within one hour of the anomaly being detected.
What did the Chevron pilot study show?: The study found a 52% savings in time allocation for Percepto's field teams deploying the system, allowing workers to be much more productive by using insights to go directly to problem locations.

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