Percepto has introduced Axion, a software-as-a-service platform designed to combine drone inspection imagery, sensor measurements and historical asset records into a continuously updated view of industrial and critical infrastructure. The company describes the system as hardware-agnostic, allowing operators to use existing drone fleets, third-party sensors and previously collected inspection data rather than relying on a single aircraft manufacturer.
Axion is aimed at organizations that must monitor physical assets repeatedly and organize large volumes of inspection information. Percepto said the platform uses artificial intelligence to identify changes in equipment condition, arrange findings by asset and highlight conditions that may require attention. The stated purpose is to support maintenance decisions with current information about the condition of infrastructure.
Data from drones and other sensors
The platform is intended for industrial environments where inspections may draw on several data sources over time. Percepto said Axion can process inspection imagery, sensor readings, historical records and specialized AI models together, linking new observations with earlier information about the same asset.
- Electric power grids
- Oil and gas facilities
- Industrial production sites
- Energy transmission networks
- Other infrastructure requiring regular inspections
That approach shifts the focus from an individual drone flight to the management of inspection information across an asset’s history. Instead of requiring personnel to manually review every item of collected data, the system is designed to organize findings and surface conditions that Percepto says may warrant further attention.
More than 160 specialized models
Percepto said Axion incorporates more than 160 specialized artificial intelligence models. The company said those models were trained using more than 100,000 hours of real-world autonomous inspection data collected over more than a decade. The models are presented as the analytical layer of the platform, interpreting information from drone operations and other inspection sources rather than serving as a feature tied to one specific aircraft.
| Axion element | Details published by Percepto |
|---|---|
| Delivery model | Software as a service |
| Hardware approach | Hardware-agnostic |
| AI models | More than 160 specialized models |
| Training data | More than 100,000 hours of real-world autonomous inspection data |
| Inputs | Drone imagery, sensor measurements, historical asset records and previously collected inspection data |
The launch expands Percepto’s business beyond autonomous drone operations toward software-based infrastructure intelligence. Customers can use the platform with existing fleets and outside sensors, while retaining earlier inspection records for comparison with new observations. Percepto said the system is intended to help operators identify potential problems earlier and prioritize maintenance activities using updated asset information.
For infrastructure owners, the operational value described by Percepto is the consolidation of recurring inspection work into an asset-level record. Drone imagery remains one input, but Axion is positioned as the system for combining that imagery with measurements and historical context across power, energy, manufacturing and other industrial sites.
