Technology
The autonomous inspection
stack, explained.
We built every layer of our technology stack with the demands of space infrastructure in mind. This is not commercial drone technology with a new coat of paint.
Autonomous Drone Swarm Architecture
Our swarm architecture enables coordinated, parallel inspection of large-scale infrastructure that would be impossible for human teams or single-platform systems. Each agent operates semi-independently while contributing to a shared situational picture.
Multi-Agent Coordination
Distributed task allocation across swarm agents ensures complete coverage without redundant overlap. If an agent fails, the swarm redistributes autonomously — no operator intervention required.
Scalable Deployment
Swarm size scales with mission scope. From a single integration facility to an entire launch complex — the same core architecture adapts to coverage requirements.
Fault Tolerance
Designed for operational robustness. Individual agent failures do not compromise mission completion. The swarm degrades gracefully.
AI-Driven Anomaly Detection
Our computer vision models are trained on space infrastructure-specific imagery and defect catalogs. We detect structural anomalies, thermal irregularities, corrosion indicators, and mechanical deformations in real time.
Computer Vision Pipeline
Multi-modal sensor fusion — RGB, thermal, and depth — processed through deep neural networks optimized for the physical characteristics of launch infrastructure materials.
Defect Classification
Automated classification and severity scoring for detected anomalies. Every finding is logged with geospatial coordinates, confidence scores, and time-stamped imagery.
Baseline Delta Analysis
Inspection reports compare against historical baselines. Change detection over time catches slow-developing degradation before it becomes a critical failure mode.
Edge AI & Autonomous Decision-Making
Latency kills. For time-sensitive pre-launch inspections, relying on ground-link-dependent cloud inference is operationally untenable. We run inference at the edge — on the vehicle, in the field, without connection dependency.
On-Board Inference
Lightweight, quantized neural network architectures optimized for edge deployment. Full inference capability without connectivity to ground infrastructure.
Autonomous Decision Logic
Agents make real-time decisions about flight path adjustments, re-inspection triggers, and anomaly prioritization without waiting for operator approval.
Constrained Compute Optimization
Algorithms optimized for SWaP (Size, Weight, and Power) constraints inherent to small autonomous platforms operating in challenging RF environments.
Data Fusion & Reporting
Inspection data is only valuable if it's structured, searchable, and actionable. Our platform generates machine-readable reports that integrate with existing maintenance management systems.
Heterogeneous Sensor Fusion
Data from diverse sensor modalities — visual, thermal, LiDAR, acoustic — is fused into a coherent inspection record with precise spatial registration.
Structured Output
Findings are exported in standardized formats compatible with maintenance management, safety reporting, and regulatory compliance workflows.
Trend Analytics
Longitudinal data from repeated inspections enables predictive maintenance modeling — moving from reactive repair to condition-based maintenance regimes.
Intellectual Property
Our core innovations are protected. Patents are pending on fundamental aspects of our autonomous swarm inspection architecture. We treat IP as infrastructure — the foundation of durable competitive advantage.
Specific disclosures are available under NDA to qualified partners and SBIR program offices.
Applications
Where this technology applies
The architecture is general. The current deployment focus is specific.
Ground & Launch Systems
- Launch pad structural elements
- Mobile launcher and transporter systems
- Flame trench and flame deflector
- Vehicle integration facility (VIF)
- Propellant storage and transfer systems
- Range safety and communications infrastructure
Primary deployment vertical. Active development and testing.
Defense Facilities
- Missile defense range infrastructure
- Test and evaluation facilities
- Hardened structure assessment
- Remote site inspection
Natural extension of core capability.
Orbital & In-Space
- On-orbit asset inspection
- Space station external structure
- Satellite servicing support operations
- Debris proximity characterization
Long-term mission. Architecture designed for this from day one.
SBIR-Eligible
Structured for government R&D investment via NASA, Air Force, Space Force, and MDA SBIR programs.
SAM Registered
Active SAM.gov registration. UEI: SMYBTMYGH5Y1. Ready for federal procurement and contracting vehicles.
Huntsville, AL
Co-located with NASA MSFC, MDA, and a dense cluster of aerospace prime contractors and integrators.
Want a technical briefing?
We work directly with program offices, primes, and research partners. Technical briefings available under NDA for qualified engagements.
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