Edge-Native SLMsSovereign AI for Air-Gapped and Regulated Environments
Fine-tuned small language models deployable at the edge — inside hospital networks, classified government systems, or disconnected industrial facilities.
Compliance & Security
Inference latency on standard server
Domain task accuracy vs GPT-4o
Average model parameter count
Designed for Environments Where Data Cannot Leave
Sovereign Deployment
Deploy inside your network perimeter with no data leaving your jurisdiction. Fully air-gapped operation on customer-controlled infrastructure.
Domain Fine-Tuning
Pre-trained on curated domain corpora for healthcare, finance, legal, and industrial settings, with further RAFT customization to your workflows.
Edge Hardware Optimization
INT4 and INT8 quantized models optimized for NVIDIA Jetson, AMD EPYC, Intel Gaudi, and standard x86 servers without GPU acceleration.
Federated Learning
Continual improvement via federated learning pipelines without centralizing sensitive data, compliant with GDPR data minimization principles.
From Assessment to Production in 8 Weeks
Assess & Select
We evaluate your hardware, use case, and compliance requirements to select the optimal model variant and quantization level.
Domain Fine-Tune
RAFT fine-tuning on your proprietary documentation establishes domain accuracy before deployment.
Secure Deploy
Model is deployed within your sovereign perimeter — air-gapped network, private cloud, or approved on-premise infrastructure.
Monitor & Improve
Federated monitoring and incremental fine-tuning cycles keep your model accurate as your data evolves.
Technical Questions
Ready to Deploy Sovereign AI?
Request a technical briefing. We'll walk through your infrastructure requirements, compliance constraints, and optimal model configuration.