Hyperspectral Imaging
Detects chemical and material changes invisible to cameras — corrosion under paint, coating breakdown, composite delamination. Lead modality on AFRL R&D collaboration.
Platform
ATLAS combines autonomous robotics, six fused sensor modalities, on-device digital agents, and an FAA-aligned records layer into a single deployable system. 0.5 FTE × 18-25 minutes replaces 3-4 mechanics × 6+ hours — at 98% defect detection accuracy. 24-36 months ahead of nearest viable competitor.
ATLAS robot hero render — exterior 3/4 view
Source: render from 3D_files/Body80, 107, 108 STLs in Blender / KeyShot / UnrealRobot hardware
ATLAS is a purpose-built autonomous inspection platform designed to navigate complex asset geometries — aircraft fuselages, wing surfaces, spacecraft, launch structures, and high-value infrastructure — without manual guidance.
The chassis is built for field conditions: ruggedised enclosure, 6-DOF stabilised sensor head, on-device compute (NVIDIA Jetson AGX Orin 64GB), and a control plane that handles drone oversight, IoT telemetry, and repair-order generation in one stack. Autonomy runs on ROS2, with SIL-2 rated Pilz safety PLC and RTK GPS for cm-level ground positioning.
The ground variant reaches 141 ft of working height — covering all commercial airframes from ground level to vertical-stabilizer crown, including the 747 tail (63 ft) and A380 (79 ft). Indoor-MRO capable (electric drivetrain) and outdoor-ramp capable. No scaffolding. No confined-space entry permits. No specialised rigging.
ATLAS — wireframe / x-ray technical view
Same STL set, technical drawing aestheticOn-device compute module
Photograph of edge-compute hardware (vendor TBC)Sensor head
The ATLAS sensor head fuses six complementary sensing modalities in a single autonomous pass — no human in the loop for the scan itself. No other inspection platform integrates this breadth of sensing in one head. The multi-sensor fusion is the moat.
Sensor head — exploded view (modular "LEGO" concept)
6 sensor modules pulling apart from a hex housingDetects chemical and material changes invisible to cameras — corrosion under paint, coating breakdown, composite delamination. Lead modality on AFRL R&D collaboration.
Finds trapped moisture in composites, insulation failures, and thermal anomalies indicating subsurface defects.
Maps dents, waviness, and structural deformation across entire surfaces in a single pass — the geometric truth layer the other modalities register against.
High-resolution surface metrology that quantifies wear, ablation, and protective-coating degradation invisible to LiDAR-class point clouds.
Sees through surfaces to detect hidden corrosion, voids, and structural degradation without contact or destructive sampling.
Reveals stress patterns, micro-cracks, and surface anomalies that standard cameras miss — polarisation as a defect indicator.
6 sensor data-viz cards (one per modality) — point cloud · hyperspectral stack · heatmap · GPR B-scan · UT waveform · eddy trace
SVG, 500×500 eachATLAS Connect
ATLAS Connect is the subscription layer that sits on top of every scan. Audit-ready records and predictive-maintenance outputs become recurring revenue the moment the data has legal standing under FAA-accepted manuals — the hinge of the entire commercial pathway.
Real-time defect call across 50+ defect types (cracks, corrosion, delamination, dents, missing fasteners) at 98.5% precision · 96.2% recall, verified on 10,000+ images. False-positive rate <3%.
Forecasts structural failures from longitudinal scan data. 94% accuracy at 6-month horizon, 87% at 12-month. Maintenance teams receive prioritised action items — not just defect reports.
Outputs flow into the customer's A/C repair DB, FAA Advisory Circulars, and OEM updates (Boeing · Airbus). Audit-ready and enforcement-ready under 14 CFR retention — the layer that turns inspection into subscription revenue.
One universal sensor head, fleet-learning across every deployed robot. AI models trained on 16+ million flight hours of commercial aviation data — every new scan compounds the network. Each agent improves with every airframe.
Integrates with the systems your maintenance ops already run
ATLAS Connect outputs flow directly into the MRO software your team uses today — no rip-and-replace, no parallel data entry. Reports are FAA / EASA-compliant by default. Critical safety-of-flight alerts trigger immediate notification.
AMOS
Trax
Rusada
Quantum
FAA Part 121 / 135 / 145
EASA Part-M / Part-145
Blockchain-verified audit trail
AMM-aligned defect taxonomy
ATLAS Connect dashboard — defect-call & repair-order view
From tanksense-server / heartbeat-deploy / orin-drone/flight-uiATLAS Connect dashboard — predictive-maintenance signal & audit record
FAA-aligned record formatReports are generated on-platform within minutes. Data exports to existing MRO systems, fleet management databases, and digital-twin environments. Live telemetry prototype at tanksense-server.vercel.app.
How we compare
Manual inspection. Visual drones. Industrial robots. No other system integrates the breadth of sensing, edge compute, and AI predictive layer ATLAS delivers in one platform.
| Capability | ATLAS | Manual Inspection | Donecle (Visual Drone) | Gecko Robotics |
|---|---|---|---|---|
| Sensor modalities | 6 fused (hyperspectral · LWIR · LiDAR · laser profilometry · radar NDT · polarimetric RGB) | 1-2 (visual + handheld NDT) | 1 (visual camera) | 2 (ultrasonic + LiDAR) |
| Scan time (737-class narrowbody) | 18-25 min | 6+ hrs | 30-45 min | N/A (industrial) |
| Critical-area coverage | 99.5% | 60-70% (sampling) | 85-90% (visual only) | 80-90% |
| Detection accuracy | 98% | 60-70% / operator-dependent | Visual defects only | UT + thickness only |
| False-positive rate | <3% | 15-25% | High (visual) | Moderate |
| Labor required | 0.5 FTE | 3-4 FTE | 1-2 FTE | 1-2 FTE |
| Cost per inspection | $163-$325 | $1,200-$1,800 | $2,000-$5,000 | $3,000-$8,000 |
| Records / FAA legal standing | Yes — manuals-integrated pathway | Manual entry | No | No |
| ITAR compliant | Yes | N/A | No | No |
| Lead time vs. ATLAS | — (24-36 mo ahead) | — | Behind on subsurface + AI records | Behind on aviation + multi-sensor |
Deployment
Match capacity to your inspection cadence. Permanent install, mobile response, or flex hybrid — same platform, same data pipeline.
ATLAS units stationed at your facility for daily operations. Dedicated to your fleet, your schedule, your workflows. Ideal for MRO hangars, military bases, and manufacturing lines with continuous inspection demand.
ATLAS ships to your location for targeted inspection campaigns. AOG response, post-incident assessment, fleet audits, and surge capacity during heavy maintenance cycles. Deploys in hours, not weeks.
Combine on-site units with on-demand mobile deployments. Scale inspection capacity with maintenance cycles without scaling headcount. Pay per scan for mobile units, flat rate for dedicated.
Deployment-models triptych — on-site · mobile · hybrid
SVG illustrations, 600×400 eachProduct line · what's next
The same universal sensor head and Connect intelligence layer extends beyond the ground platform. Multiple form factors share the same ATLAS Connect AI stack — fleet learning compounds across every deployment.
Autonomous ground platform — 141 ft working height, covers all commercial airframes up to A380. Indoor-MRO and outdoor-ramp capable. Deployed today at NASA KSC, AFRL,
Records-as-a-service intelligence layer. FAA-aligned, AMM-aligned, audit-ready. Integrates with AMOS · Trax · Rusada · Quantum MRO systems. Subscription revenue starts the moment scans hit legal standing.
Technician-augmentation extension. Wearable AR/VR headset (HoloLens · Magic Leap · custom optics) carrying miniaturised thermal + hyperspectral modules. Real-time overlay on hands-on maintenance — defect detection, repair-procedure recall, remote-expert collaboration, training acceleration. <150 g · USB-C PD · edge-AI inference on headset SoC.
Integration & compliance
Every certification, encryption standard, and integration pathway you need before procurement asks. Documented. Auditable. Air-gappable.
FAA Part 107
Certified for unmanned operations in aviation environments.
ITAR Compliant
International Traffic in Arms Regulations compliant for defense and military applications.
AES-256 Encryption
All inspection data encrypted at rest and in transit.
CMMC Pathway
Cybersecurity Maturity Model Certification readiness for DoD contracts.
MRO System Integration
Data exports to existing fleet management, ERP, and maintenance planning systems.
FAA-Aligned Manuals Path
7-phase manuals-integration pathway documented with Caprico Consulting Group.
100% IP Ownership
Software defect-detection IP + American-produced hardware fully owned by Arachnid and team.
On-Device Compute
Edge processing enables classified and disconnected operating environments.
ITAR compliance + FAA approval is a combination competitors cannot simply buy. Both gates take years and structured engagement with regulators — and we are already inside the pathway.
FAA pathway
Mapped with Caprico Consulting Group (April 2026). The pathway from autonomous-inspection technology to billable, audit-ready operations passes through a deliberate 7-phase FAA process — Manual Integration (Phase 3) is the hinge of the entire pathway.
| Phase | Name | Output |
|---|---|---|
| 01 | Classification | FAA alignment on classification + intended use ("inspection tool and data system" / "aid to certificated personnel") |
| 02 | Validation & Equivalency | Validation report acceptable to FAA — accuracy vs. human, repeatability, FP/FN, environmental stress |
| 03 | Manual Integration ⭐ | FAA-accepted manual revisions (GMM/CAMP for Parts 121/135, RSM/QCM for Part 145). The hinge of the entire pathway. |
| 04 | Training & Human Authority | Trained personnel + documented human-authority chain. AI assists, humans approve. |
| 05 | Operational Approval | OpSpecs — legal authority for revenue operations (Parts 121 / 135 / 145) |
| 06 | Data & Recordkeeping | Audit-ready, enforcement-ready (14 CFR retention, chain-of-custody) |
| 07 | Scale & Standardization | Industry adoption — contribute to FAA Advisory Circulars, engage SAE / ARINC |
See it live
Request a live demonstration at your facility. Our engineering team will walk through the full platform — hardware, sensors, AI, and deployment — tailored to your specific inspection requirements.
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