AI at the Edge
Run AI inference where decisions happen. Starlight brings large language models and machine learning to edge locations—no cloud dependency, no reachback latency.
Deploy inference engines to any location. Get sub-second response times without network round-trips. Decision support continues through disconnection.
Zero Network Latency
Inference happens locally—no cloud round-trips
Real-Time Processing
Sub-second response times for time-critical decisions
Disconnected Capable
AI continues working when networks fail
Local AI, Real-Time Decisions
Confidential computing protects your AI models. Deploy proprietary models to untrusted locations without exposing intellectual property.
Protected Model Weights
Models encrypted in memory using hardware security
Attestation Verified
Cryptographic proof of secure execution
Deploy to Untrusted Locations
Physical access doesn't compromise model IP
Model Security
Flexible Deployment Options
Large Language Models
Deploy LLMs for analysis, summarization, translation, and decision support at the tactical edge.
Computer Vision
ISR, inspection, anomaly detection, and object recognition without sending imagery off-site.
Custom Models
Deploy mission-specific models trained for your unique requirements and operational environment.
Connected When Possible, Capable When Not
Models update when connectivity allows. Inference continues regardless of network state. Results synchronize automatically when connections are restored. Starlight's distributed architecture means your AI capabilities are never dependent on a data center you can't reach.