Private AI Infrastructure
We help organizations build and run AI locally — secure, private, and fully under your control.
We don't just promote, we build together, self deploy, and support private AI infrastructure that works.
Analyze your AI readiness, data landscape, and privacy requirements to build the right strategy.
Take the Assessment arrow_forwardWe architect a local AI stack tailored to your workflows, compliance needs, and technical constraints.
We build and configure your private AI infrastructure — hardware, models, pipelines, and integration.
We provide ongoing optimization, model updates, and technical support to keep systems running smoothly.
This isn't a concept. The AI SubFactory is our reference platform — a Mac Mini M4 Pro pre-loaded with production-grade AI, operational today.
AI SubFactory — Mac Mini M4 Pro
Llama, Mistral, Phi — powerful models running on your hardware.
Vector database grounding AI with your own data. Search, retrieve, and augment in real-time.
Visual workflow automation powered by local models and custom integrations.
Beautiful, intuitive chat interface to interact with your local AI models.
Container orchestration and management for full infrastructure control.
Every organization has unique data, workflows, and privacy requirements. We start with a conversation — no pitch, no pressure — to understand where AI fits in your world.
A 30-minute conversation to understand your AI ambitions, data landscape, and infrastructure realities.
We build a working prototype on our reference platform so you can see local AI in action with your own use case.
A clear, actionable plan for deploying private AI infrastructure — at your pace, on your terms.
Your data stays on your hardware. Period. No cloud sync, no telemetry, no third-party access. What happens in your infrastructure stays there.
Designed from the ground up for EU data protection requirements. No vendor lock-in, no surprise data transfers. Built for European organizations.
Every system works without internet. Air-gapped deployments available for maximum security. Your infrastructure, your terms.
Perspectives on private AI, edge computing, and data sovereignty.
When to run AI in the cloud, when to run it locally, and how to make the decision for your specific use case.
Privacy, latency, cost, and control — the fundamental reasons why edge AI is reshaping enterprise strategy.
Why a modest piece of consumer hardware is becoming the foundation for serious, production-grade local AI systems.
Let's explore how private AI infrastructure can work for your organization.
Contact: info@zerogravity.ai