Arachnidsys offers ATLAS, an autonomous inspection robot that combines six sensor modalities—dual‑LiDAR, hyperspectral, thermal LWIR, ground‑penetrating radar, ultrasonic, and eddy‑current—to scan entire aircraft, defense assets, energy infrastructure, and space hardware in 15‑20 minutes with up to 99.5% surface coverage. Onboard NVIDIA edge AI processes data in real time, delivering defect detection with 98.5% precision and predictive maintenance insights up to a year ahead, while reducing inspection costs and downtime.
Funding
Funding not disclosed
Founders
Product
Problem
Manual and fragmented inspection processes for aircraft, defense assets, energy infrastructure, and space hardware are time‑consuming, costly, and provide limited surface coverage, leading to missed defects and reduced operational readiness.
Solution
ATLAS is an autonomous inspection robot that combines six complementary sensor modalities—dual‑LiDAR, hyperspectral imaging, thermal LWIR, ground‑penetrating radar, ultrasonic, and eddy‑current—into a single modular head. The robot navigates complex geometries and captures a full‑surface scan of an asset in 15‑20 minutes, achieving up to 99.5% coverage. Onboard NVIDIA Jetson AGX Orin edge compute runs AI models (YOLOv8 and Vision Transformers) in real time, delivering defect detection with 98.5% precision and predicting failures up to 12 months ahead. Results are provided instantly via the ATLAS Connect platform, enabling condition‑based maintenance without additional infrastructure or cloud dependence.
Target Audience
Primary customers are commercial aviation MRO operators, defense maintenance units, energy and infrastructure owners, and space launch organizations that require fast, high‑coverage, and predictive inspection of large, complex assets.
Features
- Dual‑LiDAR mapping at 300 k points/sec with 0.5 mm precision for detailed geometry and deformation detection
- Hyperspectral imaging (200+ bands, 400‑2500 nm) to reveal corrosion, coating breakdown, and composite delamination invisible to standard cameras
- Thermal LWIR sensor (640×512, 0.02 °C sensitivity) for hot‑spot and moisture detection in composites and insulation
- Ground‑penetrating radar (1‑4 GHz) penetrating up to 12 inches to expose subsurface corrosion, voids, and structural degradation
- Ultrasonic (2‑10 MHz) and eddy‑current sensors for wall‑thickness measurement and fatigue‑crack detection with sub‑millimeter accuracy
- Edge AI processing on 275 TOPS NVIDIA Jetson AGX Orin, delivering real‑time defect identification and 6‑month failure forecasts with <2 % false‑positive rate
- Modular, ruggedized chassis with hot‑swappable batteries and IP‑rated enclosure for deployment in harsh field conditions
- Flexible deployment models: permanent on‑site installation, rapid‑response mobile units, or hybrid flex‑capacity arrangements