The Challenge
Mission-critical complexity demanding sovereign AI
Data silos, aging fleets, and compliance requirements are limiting operational tempo and analytical capacity.
ISR Data Overload
Modern ISR platforms generate terabytes of sensor data per mission. Analysts lack the tools to fuse multi-INT sources in real-time, leading to missed signals and delayed decision cycles.
MRO Cost Escalation
Unplanned aircraft and vehicle maintenance costs DoD contractors an estimated $12B annually. Legacy time-based maintenance schedules fail to account for actual component wear and mission stress cycles.
ITAR Compliance Complexity
AI development for defense programs must navigate ITAR, EAR, and CMMC requirements. Commercial AI platforms often cannot meet data residency, access control, and audit requirements for classified environments.
Supply Chain Fragility
Defense supply chains span thousands of suppliers across dozens of countries. Single-source dependencies and counterfeit component risk are compounding with geopolitical instability.
Education AI Solutions
AI systems for defense and aerospace programs
ISR Data Fusion
Multi-INT fusion pipelines that combine SIGINT, IMINT, HUMINT, and OSINT feeds into unified operational pictures, reducing analyst workload and accelerating decision cycles.
Predictive MRO
ML systems trained on flight data, sensor telemetry, and maintenance records to predict component failure before it occurs, shifting from time-based to condition-based maintenance.
Classified Document Intelligence
On-premise RAG systems for classified document retrieval and analysis, operating within IL4/IL5 environments with zero data exfiltration risk.
Supply Chain Risk AI
Network analysis systems that monitor multi-tier supplier risk, flag single-source dependencies, and identify counterfeit component patterns before they reach assembly.
Mission Planning Optimization
AI systems that optimize sortie scheduling, airspace deconfliction, and asset allocation given real-time threat environments and operational constraints.
Cyber Threat Detection
Behavioral AI that monitors network traffic, endpoint activity, and access patterns to detect advanced persistent threats within air-gapped and classified networks.
End-to-End Implementation
End-to-end AI implementation for aerospace & defense
Solnix delivers the full lifecycle, from opportunity mapping through production deployment and continuous improvement. The same proven methodology powers every aerospace & defense engagement, tailored to your systems, data, and regulatory environment.
Discovery & AI Opportunity Mapping
We start by understanding your operations, data landscape, and goals, then map where AI delivers measurable value and where it does not. Every engagement begins with a prioritized opportunity backlog, not a technology pitch.
Data Foundation & Readiness
AI is only as good as the data behind it. We assess data quality, connect fragmented sources, and build the secure, governed pipelines that production AI depends on, with privacy and compliance designed in from the start.
Model & Agent Development
We build the models, retrieval systems, and AI agents tailored to your use cases, selecting the right approach (fine-tuning, RAG, multi-agent orchestration) for accuracy, cost, and latency, and validating against your real-world edge cases.
Integration & Workflow Embedding
AI only creates value when it lives inside the tools your teams already use. We embed models and agents into existing systems, surfaces, and workflows, so adoption is natural and human-in-the-loop controls stay in place.
Deployment, Security & Compliance
We deploy to production with the security, monitoring, and compliance controls enterprises require, including bias and fairness testing, audit logging, and the observability needed to operate AI responsibly at scale.
Optimization & Continuous Improvement
AI systems improve with use. We measure outcomes against the goals set in Phase 01, retrain and tune from live feedback, and expand to the next set of use cases, turning a single deployment into a compounding capability.
Methodology
How Solnix Builds for Aerospace & Defense
01, Security Architecture Review
01, Security Architecture Review
We assess your classification levels, data residency requirements, and applicable compliance frameworks. ITAR, CMMC, IL4/IL5, FedRAMP, before designing any system architecture.
02, Air-Gap Compatible Design
02, Air-Gap Compatible Design
All systems are architected to operate without external network connectivity where required. We use on-premise model deployment and sovereign data pipelines.
03, DoD System Integration
03, DoD System Integration
We integrate with existing C2 systems, DCGS infrastructure, and MRO platforms. Our engineers hold required clearances for classified integration engagements.
04, Red Team Validation
04, Red Team Validation
Before deployment, AI systems are subjected to adversarial testing, including data poisoning, model inversion, and evasion attacks, to validate robustness in contested environments.
05, Ongoing Mission Support
05, Ongoing Mission Support
We provide 24/7 support for mission-critical AI systems, with incident response SLAs and dedicated on-site support options for program offices.
FAQ
Questions from program managers, CISOs, and systems integrators
Get Started
AI Built for Mission-Critical Operations
From ISR fusion to predictive MRO. Solnix delivers sovereign AI systems for the world's most demanding defense and aerospace programs.
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