Z7 Solutions · Managed AI
Some organizations cannot send their data to a public AI cloud. Not would rather not. Cannot. The public AI question has had two bad answers: ship sensitive data to someone else’s cloud, or sit out the AI era. Managed Private AI is the third answer: the same modern models, on hardware you own, inside your perimeter, with your data never leaving the building.
What It Is
Reasoning, chat, document analysis, coding, and domain-tuned guard models, running locally.
Prompts, documents, and outputs never traverse the public internet to a third-party model provider.
Retrieval over your document stores, tool use against your internal systems, automation of real work.
Wrapped around all of it, because Z7 is a cybersecurity firm first.
Who It Is For
Under HIPAA.
Under privilege.
Holding FERPA-protected records.
With OT/IT segmentation.
With residency mandates.
And any organization where the data simply cannot leave, from SMB to enterprise.
Services
A short engagement to size the workload: use cases, users, models, throughput, and hardware. Output: a deployment design and a real cost model.
We spec and stand up the hardware and software: local model serving, retrieval pipelines, agent runtime, identity integration, and the network design that keeps it inside your perimeter.
We pick the right models and, where it helps, fine-tune on your domain. Z7 trains its own models on its own infrastructure, including domain guard models for regulated settings.
Data classification, prompt-injection defense, output filtering, audit logging, usage policy, and regulator-ready documentation, with your existing controls in front of it.
A monthly retainer: 24/7 monitoring, model version management, prompt and retrieval tuning, capacity planning, governance audits, and SLA-backed support.
Why Z7
We operate our own private AI infrastructure. Z7 runs production model serving and training on Mac Studio and NVIDIA DGX hardware. We deploy private AI because we live on it.
We train our own models. Z7 ships fine-tuned guard and domain models. We know how to bring AI to your data, not your data to AI.
Cybersecurity first: data protection, segmentation, audit, and incident response are baked into the appliance from day one.
The recommendation fits your data posture and budget, not a reseller’s compensation plan.
When a governed public deployment is the better answer, we will tell you.
Your AI strategy should not require it to. Let us show you what private AI looks like done right.
