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Spatial AI for commercial aviation MRO, fleet sustainment, and heavy transportation.
GridRaster brings Spatial AI to commercial aviation MRO, fleet sustainment, and heavy transportation. SPIDER turns aircraft, engines, and vehicles into live spatial data that technicians, inspectors, and robotic systems all work from: shortening turnaround times, capturing a traceable record of every task, and putting trainees inside an asset before it reaches the floor.
Figure: SPIDER platform architecture
New engines and aircraft arrive before the people who will maintain them have ever touched one. SPIDER puts a high-fidelity 1:1 digital twin in the room instead: technicians walk around it, search components, pull up technical data in place, section and explode the assembly, and practice the procedure at their own pace. Shared sessions put multiple trainees and instructors inside the same virtual engine, wherever they are, so a new engine model can be trained on before a physical one reaches the shop floor.
Assistance is dynamic, not a static work instruction. SPIDER detects the aircraft, aligns its digital twin to the physical surface, and shows the target in place: X-ray plate positions on a rudder, fastener locations on a fuselage panel, or masking boundaries before paint. Errors are flagged as they happen and each step is confirmed before anything irreversible is committed, so rework is caught in-process rather than after the fact.
Inspection readings and defect locations are usually captured by hand or stored apart from the aircraft, slowing maintenance cycles and limiting traceability. SPIDER tracks inspection tools in real time and anchors every reading to its location on the physical part and its digital twin, on one unified data layer: an eddy-current tool’s full path, a tactile tool’s surface captures, and X-ray results all mapped onto the same twin. Every inspection becomes a complete, traceable digital work record for the asset.

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