One fully managed layer: orchestration, MLOps, data platform, security ops, observability, and compliance automation, that runs identically across every position your infrastructure occupies, from public cloud to a fanless node in the field.
From the raw data your product generates to what you put in production — one platform, one team. You keep the control path; GCAII runs everything around it.
Your team
what they open
AI & data
services
Your rack
office or first site
Product
where it runs
Sources
whatever you run
Whatever your product actually touches — these cover most of it.
Cloud egress is billed per gigabyte and grows with your traction — the wrong thing to scale with. The rack keeps the raw; only what you need travels.
Inference is moving to where the data is generated: field clinics, factory floors, classrooms, retail, and municipal sites. Workloads that can’t tolerate cloud round-trips, can’t afford hyperscaler bandwidth, and won’t compromise on data residency.
Where it fits: clinical edge · industrial edge · retail edge · branch computing · classrooms & research field sites · municipal deployments
Start with a 30-day Design engagement (assessment, roadmap, and business case), then pilot a managed edge node at your site for a single monthly fee.
Schedule a Strategy Session