Set the operating boundary
Define approved locations and policies for workloads and data movement.
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Sovereign Edge AI Operations
Intelligence close to the source.
Operations under your control.
Bring observability, local reasoning and explicit governance to AI infrastructure operating within customer-controlled sites or approved locations.
Explore the solutionEdge AI
01 / The opportunity
Local intelligence needs local operations.
Sensitive workloads and remote assets create different operating constraints. The infrastructure must be understood, maintained and governed where the workload runs, with deliberate control over what moves beyond that location.
Reason with local context
Connect infrastructure signals and operational knowledge to local reasoning.
Act under explicit policy
Diagnose and remediate infrastructure incidents within defined authority.
02 / How it connects
A governed hub, connected when required.
An Edge-AI Hub connects local workloads and physical systems. Links to regional grids or AI factories are deployment choices governed by workload and data-handling policy, not a requirement to send all raw data upstream.
Relevant platforms
iFabric ↗
Discover infrastructure, observe its condition and coordinate governed operations.
nLLM ↗
Support infrastructure reasoning grounded in local operational context.
gFabric ↗
Control identities, workload placement and authorized actions.
Platform integrations and operating responsibilities are agreed for each engagement.
03 / What we deliver
Engineer for the site and its constraints.
Site architecture, compute and network integration, operational validation, policy integration and ongoing support. Connectivity can combine terrestrial, private-network and remote-access options as the environment requires.
Explore engineering & operations ↗