3D3DStart your AI →Governed AI · your hardware, your keys
Own your AI. Your data, your infrastructure.
We deploy private, governed AI on hardware you control. Your sensitive data never leaves your environment — never routed to OpenAI or Google. Governed by ORA, and yours from day one.
What it is
Governed AI, running on infrastructure you control.
Private AI means every model decision is logged, attributable, and bounded by rules you define. Inference runs entirely on your hardware or inside your VPC — no prompt, no response, and no document you feed the model ever leaves your environment. ORA adds confidence gates and a tamper-evident audit trail so you can prove what the AI was told and what it decided.
Deployment tiers
Three configurations, fixed prices, published openly.
No discovery call required before you know what it costs.
- $1,500
Starter deployment
A single-model private deployment on your hardware, configured and governed by ORA.
- $2,500
Business deployment
Multi-model, multi-user, with your documents and tools wired in and audited.
- $3,500
On-prem / enterprise
A hardened on-prem or VPC deployment with full governance rules and admin controls.
ORA
The governance layer inside every deployment.
ORA is our flagship governed-AI platform — a security-first orchestration backend that runs private agents and models with auditable gateways over HTTP, WebSocket, and MCP. It sits between your team and the model, logging every call and enforcing confidence gates. Every deployment we ship includes an ORA governance layer.
Care plan
Kept current, on a plan you can cancel anytime.
A monthly retainer covering model updates as new weights release, security patches, uptime monitoring, and a defined response SLA. The base plan is $99/mo; the on-prem enterprise plan is $299/mo. Cancel anytime — your deployment keeps running regardless.
Ready to own your AI?
Start your AIinfo@3d3d.caQuestions
Straight answers.
What is governed AI?
Governed AI means every model decision is logged, attributable, and bounded by rules you define. ORA adds confidence gates and a tamper-evident audit trail so you can prove what the AI was told and what it decided — useful in regulated industries and anywhere accountability matters.
Will my data be sent to OpenAI or Google?
Never. Inference runs entirely on your hardware or inside your VPC. No prompt, no response, and no document you feed the model ever leaves your environment. We do not route through any third-party AI provider.
What models does private AI run?
Any model compatible with Ollama — Llama 3, Mistral, Gemma, Phi, Qwen, and dozens more. We help you select the right model for your workload: document analysis, code generation, question-answering, or internal knowledge retrieval.
Do I need a GPU server?
Depends on the model and query volume. Many businesses run 7B–13B parameter models effectively on a single mid-range consumer GPU (RTX 3090 or 4090 class). We scope the hardware requirement in the first call and tell you exactly what you need before any money changes hands.
What is ORA and why is it included in every deployment?
ORA is our flagship governed AI platform — a security-first orchestration backend that runs private agents and models with auditable gateways over HTTP, WebSocket, and MCP. It sits between your team and the model, logging every call and enforcing confidence gates. Every deployment we ship includes an ORA governance layer.
Why does AI governance matter right now?
The EU AI Act entered force in 2024. Canada's Bill C-27 (AIDA) is advancing through Parliament. US executive orders are adding accountability mandates for AI in finance, healthcare, and critical infrastructure. Organizations that can prove what their AI did — and what data it touched — are ahead of the compliance curve, not scrambling to catch up.
How does the care plan work?
The care plan is a monthly retainer covering model updates as new weights release, security patches, uptime monitoring, and a defined response SLA for any issue. You can cancel anytime — your deployment keeps running regardless. The base plan is $99/mo; the on-prem enterprise plan is $299/mo.
What if I already have a GPU server or cloud account?
Even better. We assess your existing hardware or cloud account in the scoping call and configure the deployment there. If it meets the requirements, the setup price stays the same — we just work with what you have.