Run AI models locally with ONNX Runtime and TensorFlow Lite. Model router automatically selects local vs. cloud processing based on data sensitivity. Works offline. Air-gapped capable. Complete data sovereignty.
Intelligent edge computing for sensitive AI workloads
Run optimized models locally using ONNX Runtime and TensorFlow Lite. No network required. No data leaves your device. Supports classification, embeddings, and generative models.
Intelligently routes requests to local or cloud models based on sensitivity classification, latency requirements, and model capability. Optimizes for privacy, speed, and accuracy.
Local SQLite + FAISS integration for embeddings and semantic search. Store and query vector data without network round-trips. Perfect for RAG applications and memory systems.
Optional federated learning node for privacy-preserving model improvement. Contribute to collective intelligence without sharing raw data. Differential privacy guarantees.
Complete functionality without network connectivity. For classified environments, SCIFs, and high-security deployments.