INDUSTRIES · INFRASTRUCTURE
We build computer vision and LiDAR systems for bridges, viaducts, and large-scale civil infrastructure — detecting sub-millimetre changes that manual inspection misses.
Manual infrastructure inspection is slow, subjective, and dangerous. A six-day survey of a highway bridge produces a report that is already ageing by the time it reaches the engineer's desk. We replace this with continuous, quantified structural intelligence.
BridgeSense detects structural changes of 1.5-3mm using drone-mounted LiDAR at 0.92 F1-score accuracy — compressing multi-day manual inspection cycles into single-pass aerial surveys. Point cloud processing pipelines extract settlement, deflection, and cracking metrics at scale.
AI-Copter extends these capabilities to mining environments, underground structures, and confined-space assets where human inspection is operationally impractical. We build the full stack: sensor integration, data pipelines, ML models, and operator-facing reporting tools.
What we solve in infrastructure.
Sub-millimetre structural change detection using drone-mounted LiDAR and 3D point cloud analysis
Automated inspection workflows that compress multi-day manual surveys into single-pass aerial missions
Continuous anomaly monitoring that distinguishes thermal variation from genuine structural degradation
Confined-space and underground inspection using autonomous drone AI for environments unsafe for humans
Shipped work in infrastructure.
Real deployments, not proofs of concept. Each project below is running in production.
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