Percepto Axion unifies data from different drones and sensors for physical AI
Percepto’s new Axion platform analyzes inspection data from third-party drones and sensors with more than 160 specialized AI models to prioritize infrastructure issues.
AT A GLANCE
Key points
- Axion can ingest data from third-party drones, fixed and mobile sensors, and existing archives.
- Percepto says the platform uses more than 160 specialized AI models.
- Operators can ask natural-language questions about assets and receive recommendations.
What is changing?
Percepto announced Axion, a hardware-agnostic platform for mission-critical infrastructure inspection, on October 27. The new SaaS product can ingest data from supported third-party drones, fixed and mobile sensors, existing inspection archives, and Percepto’s Ranger drones and Harbor stations. Operators can therefore begin with their current fleets without being locked to one device provider.
Percepto says Axion uses more than 160 specialized AI models trained on over 100,000 hours of autonomous inspection data collected across more than a decade. The platform combines findings with asset context, historical trends, and expert validation. It can, for example, relate a downed wire to surrounding components or compare a thermal anomaly with expected asset behavior. Operators can ask natural-language questions and receive recommendations for maintenance priorities.
Explore the original sources
Source date: 27 October 2026.
Published by AI Radar: 27 Oct 2026, 16:10 (Istanbul, UTC+3). Updated: 27 Oct 2026, 17:07.
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