Edge AI + Core Frontier Cloud LLM
Small-scope work stays on the device. Large-scope work escalates to core Frontier Cloud LLMs over a secure connection — with isolated business jailbox context when data must stay sealed.
Edge Runtime
Hardware-aware on-device execution for small-scope inference — low latency, offline-capable, privacy-preserving.
Hardware-Aware Profiles
Execution parameters matched to silicon architecture, cache, NPU/GPU, and thermal envelope on the target device.
Quantized Small-Scope Inference
INT8 / INT4 kernels sized for constrained memory — ideal for local control loops, short prompts, and edge perception.
Offline-First Continuity
Keep operating when the link drops. Escalate to core cloud only when scope and policy allow.
Frontier Cloud LLM connection
When the job exceeds the edge envelope, connect to core Frontier Cloud LLMs for large-scope reasoning and long context.
Large-Scope Frontier Models
Route heavy reasoning, long documents, and multi-step planning to frontier models on Google Cloud (Gemini / Vertex) and Alibaba Cloud Model Studio (Qwen).
Policy-Controlled Escalate
Decide what stays on-device vs what may leave the edge — by workload class, data class, and operator policy.
ModelOps Packaging
Evaluate, package, and sign edge payloads in the cloud before fleet release — same rigor as firmware OTA.
Business jailbox & isolated context
Custom, sealed cloud contexts for proprietary business data — not a shared generic chat pool.
Tenant-Isolated Jailbox
Each business or workload gets an isolated context boundary so proprietary knowledge does not bleed across tenants.
Custom Policy Context
Attach company-specific rules, documents, and tools inside a controlled session — auditable and revocable.
Local Data Boundary First
Default: inference stays on-device. Cloud jailbox only when policy explicitly opens a secure path.
Fleet Lifecycle
Secure, reliable, and auditable deployment of edge runtimes and model packages across hardware fleets.
Signed OTA Updates
Deliver model updates over-the-air using cryptographically signed payloads, ensuring absolute integrity and authenticity at the edge.
Edge Observability
Monitor real-world inference latency, resource utilization, and hardware health metrics directly from the field.
Safe Rollback
Automated rollback policies that revert to the last known stable model version if anomalies or performance degradation are detected post-update.
Request the Product Brief
Get architecture detail on Edge Runtime, Frontier Cloud LLM connection, business jailbox context, and fleet lifecycle.
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