Resources
The MRO super-cycle, multi-spectral sensing, the FAA-records moat, and the road from prototype to program-of-record. Read it, ask about it, request the whitepapers.
Blog
Long-form notes on the forces reshaping aircraft maintenance — written by the engineers building ATLAS, edited for technical readers (not search engines).
The global MRO market grows from $119.7B to $156B by 2035. The fleet adds 9,300 aircraft. The certified-inspector pool doubles its open headcount. Manual inspection cannot scale through this — here is what changes.
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North American aviation maintenance is 40,000 technicians short by 2028. Training a certified inspector takes 18-24 months. The defense side faces the same gap on a faster clock — CV-22 at 30.45% mission-capable.
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Donecle uses one sensor. Gecko uses two. ATLAS integrates six — hyperspectral, LWIR thermal, LiDAR, laser profilometry, radar NDT, polarimetric RGB. A side-by-side detection-capability comparison.
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LSTM and XGBoost models trained on 16M+ flight hours achieve 94% accuracy at a 6-month prediction horizon, 87% at 12 months. Inside the AI behind ATLAS Connect's prediction layer.
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Seven phases from classification to industry standard. Phase 3 — Manual Integration into GMM/CAMP and RSM/QCM — is where autonomous inspection becomes legally distinguishable from a science experiment.
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NASA's flagship lunar program is 4+ years behind schedule with $98B in cost overruns — partially attributed to inspection-detection gaps. The economics of New Space cannot run on the old inspection model.
ReadFAQ
Direct answers — no marketing hedging. If your question isn't here, send it to the engineering team.
ATLAS is an autonomous multi-sensor robotic inspection platform for aerospace and defense assets. One scan pass replaces 3-4 mechanics × 6+ hours of manual inspection with a single 0.5-FTE operator monitoring an 18-25 minute autonomous sweep — at 98% defect-detection accuracy.
The platform has three layers: ATLAS Ground (the robot — 141 ft working height, covers all commercial airframes), ATLAS Connect (the AI + records layer with a three-agent AI architecture), and the forthcoming ATLAS Visor VR headset for technician augmentation.
The current production sensor head fuses six complementary modalities:
Hyperspectral (Headwall Nano / Specim FX17) · LWIR Thermal (FLIR A615) · LiDAR (Ouster OS1-128) · Laser Profilometry (Keyence LJ-X8000) · Radar-Based NDT (custom UWB / mmWave) · Polarimetric RGB (Lucid Phoenix Triton Pol).
All six are fused on a 6-DOF stabilised gimbal head, processed on-device by an NVIDIA Jetson AGX Orin 64GB. See the Sensor Head page for per-modality specs.
FAA Part 107 certified for unmanned operations. The records / manuals-integration pathway is in progress — a 7-phase process mapped with Caprico Consulting Group covering Classification, Validation & Equivalency, Manual Integration (the hinge), Training & Human Authority, Operational Approval, Data & Recordkeeping, and Scale & Standardization. See the FAA pathway section on the Platform page.
Yes. ATLAS is designed, manufactured, and operated in the United States. Inspection data is encrypted at rest and in transit with AES-256. On-device edge compute enables classified and air-gapped operating environments. CMMC pathway is in progress for DoD-contract readiness. MIL-STD-461 EMC, −40 °F to 130 °F operational envelope.
ATLAS Connect outputs flow directly into the major MRO platforms — AMOS · Trax · Rusada · Quantum — via standard data contracts. Reports are FAA / EASA-compliant by default. Critical safety-of-flight alerts trigger immediate notification. Records carry a blockchain-verified audit trail for Part 121 / 135 / 145 inspections, and the defect taxonomy is aligned with aircraft maintenance manuals (AMMs).
Commercial: 90-day engagement complete on a 737-800 — FEAM Aero engagements underway in parallel. Boeing exploratory, actionable post-FAA approval. 20-aircraft narrowbody-lessor LOI signed.
Government: NASA Kennedy Space Center (Artemis-tied spacecraft infrastructure) · AFRL (hyperspectral composite analysis R&D) · DIU (under evaluation for F-35 depot-level inspection). Army, SOCOM, Navy, USAF demos scheduled in the next six months. Vandenberg support-infrastructure contracts targeted.
Per-inspection economics for 737-class narrowbody: $163-$325 with ATLAS vs. $1,200-$1,800 manual. At 100 inspections per year per aircraft, that's a saving of $88K-$164K annually per airframe. The United Airlines 737 fleet example: $1.3B current annual inspection cost → $65M with ATLAS = $1.2B saved per year.
Programmatic pricing (per-scan, dedicated, hybrid) is structured against your specific deployment. Talk to us.
Targeted for 2027. ATLAS Visor is the technician-augmentation extension — a wearable AR/VR headset carrying miniaturised thermal + hyperspectral modules, with real-time defect-overlay on hands-on maintenance, repair-procedure recall, and remote-expert collaboration. Built on HoloLens / Magic Leap / custom-optics carriers. <150g per module, USB-C PD powered, edge-AI inference on the headset SoC.
If your team is interested in the early-access program, let us know.
Five co-founders with prior hardware experience inside the organisations that already run aerospace and defense:
Benjamin Perez — CEO (Apple, Kongsberg, Yokohama, GM) · Priyan Rai — CTO (Unreal Engine, Nokia, Rakuten, T-Mobile) · Ellie Kuang — Head of Product (Lockheed Martin, NASA, Caltech, Disney) · Nicholas Bosticco — VP Engineering (Apple, Trackonomy, Tesla, Ethicon / J&J) · Stephen Sopko — VP Business Development (USAF, Oracle, Palisade Compliance, integreon).
Full bios on the About page.
Downloads
Detailed technical material lives behind a request gate — confidential to authorised recipients only. Tell us who you are; we'll send the file the same business day.
The end-to-end product story — universal sensor head, fleet-learning network, business model, market opportunity, and the team. The deck we send engagement prospects and strategic partners.
RequestSensor architecture, autonomy stack, power budget, deployment configurations, and key operational risks. The engineer-to-engineer document. April 2026.
RequestDoD-focused technical brief: workforce crisis, ROI model, multi-platform scalability, ITAR posture, F-35 ALIS integration. 19-day payback on a 40-aircraft fighter squadron.
RequestSystem architecture, per-modality sensor specs, performance benchmarks, AI/ML capabilities. The reference sheet your procurement and engineering reviewers will want.
RequestThe 30-second pitch for commercial-aviation maintenance executives. validation, ROI math, integration with AMOS/Trax/Rusada/Quantum.
DownloadITAR posture, MIL-STD-461 EMC, AES-256, <2-hr rapid deployment, F-35 ALIS / CAMS / IMDS integration. For the procurement team.
DownloadTalk to engineering
Our engineering team answers technical questions directly. If you want a sensor-fusion walkthrough, a custom ROI model for your fleet, or a live demo at your facility — start here.
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