g9c3G9C3
ISO 27001 ReadyAir-Gapped Ready

Exclusive private AI that works with or without internet.

G9C3 Install-to-Handover deploys your AIcheska client-owned AI assistant on local hardware for secure automation—no monthly fees, online or offline.

For Professionals

Deploy AI on your own hardware

For Small Teams

Private AI for your organization

The Complete Platform

Use AI. Build AI. Run AI.

From ready-to-deploy gateways to custom configurations, everything runs on your infrastructure.

Ask. Create. Execute.

Every operator gets an AI assistant that answers questions, creates documents, and takes action. All from your private server.

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What is G9C3?

A boutique deployment studio for private AI infrastructure

G9C3 installs and configures private, owner-controlled AI infrastructure for founders, professionals, clinics, laboratories, practices, and small teams.

The service deploys G9-based local servers on client-owned hardware so clients can run an always-available AI assistant with privacy, operational control, and structured handover.

No cloud dependency. No vendor lock-in. No days of terminal setup. Just your AI gateway, on your hardware, under your rules.

g9c3 server setup

What G9C3 Deploys?

Complete infrastructure for private AI operations

Dedicated G9 Gateway

A dedicated G9 gateway host installed on client-owned hardware

Secure Browser Control

Secure browser control and operator access for managing your AI

Flexible Model Configuration

Hosted-model, local-model, or hybrid configuration matched to your workload

Messaging Channels

Messaging channels and companion-device pairing for seamless access

Complete Documentation

Documentation, credential handover, restart notes, and maintenance guidance

g9c3 Leadership Team

Leadership Team

Expert guidance from planning to deployment

Steven Mitchell

Chief Executive Officer

Andre Russell

Chief Prompt Engineer

G9C3 is led by a dedicated team combining executive vision with hands-on technical expertise. Steven Mitchell guides strategic direction and client partnerships, while Andre Russell ensures every deployment leverages cutting-edge prompt engineering and AI configuration best practices.

Client Outcomes

What you get when G9C3 completes your deployment

  • Private AI operations anchored to your own server
  • Practical access from phone or laptop through agreed channels
  • Remote access without turning the system into a public admin surface
  • Documented handover with restart, reconnect, and support guidance
  • A platform that can later expand into nodes, automation, or stronger local inference

Standard Service Package

Everything included in your G9C3 deployment

  • Pre-deployment consultation and host suitability assessment
  • Operating system preparation, account model, storage planning, and baseline hardening
  • AIcheska installation, onboarding, gateway service setup, and control UI verification
  • Provider and model configuration for hosted, local, or hybrid operation
  • Channel setup for the agreed communication surfaces
  • Operator pairing, workflow testing, and handover documentation
  • Short post-deployment support window for stabilization and questions

Recommended Client Profile

Who AIcheska is designed for

Best suited to solo operators, founders, technical households, clinics, laboratories, practices, and small business teams working inside one trust boundary.

Where strict separation is required between mutually untrusted users, G9C3 recommends separate gateways or separate hosts rather than shared multi-tenant deployment.

G9C3 Method

Gateway in 9 Steps, Closed by 3 Controls

01

Goal and use-case scoping

Define business objectives, target workflows, channels, support expectations, and success criteria

02

Hardware and host assessment

Evaluate Mac mini or alternative devices, operating system fit, memory, storage, and workload suitability

03

Governance and security boundary

Identify operators, trust boundaries, credential ownership, and the preferred remote-access pattern

04

Core OS preparation

Apply updates, prepare accounts, storage layout, service supervision, and a clean baseline posture

05

Connectivity and remote access

Design SSH, private-network, or tailnet access and confirm recovery paths before go-live

06

G9 installation

Install the platform, complete onboarding, verify the gateway, and confirm browser control access

07

Channel pairing and model integration

Connect agreed channels or devices and configure hosted, local, or hybrid model paths

08

Workflow testing and recovery

Test common tasks, restart behavior, reconnect logic, and basic operational resilience

09

Client handover and support

Deliver credentials, notes, maintenance guidance, optional retainer advice, and the support window

C3 — The 3 Final Controls

Configure

Server, services, models, and the control UI are correctly set

Connect

Channels, devices, operators, and remote access are working as intended

Confirm

Security, restart behavior, documentation, and handover are complete

You speak. Your assistant works. Results come back ready.

Deployment Platforms

Compatible host options for your g9c3 deployment

Mac mini

— Default compact macOS host

Best baseline for a quiet, always-on gateway and a strong fit for clients in the Apple ecosystem

Mac Studio

— Premium Apple silicon

Recommended when the client wants hybrid or local-inference without leaving macOS

ASUS NUC 14 Pro

— Business mini PC

Strong Windows/Linux option for office deployments with conventional enterprise hardware

Lenovo ThinkCentre M90q

— Enterprise desktop

Appropriate for deskside or back-office environments prioritizing enterprise support

MINISFORUM UM790 Pro

— Performance-value mini PC

For cost-conscious clients wanting more CPU/GPU headroom in a compact AMD system

Beelink SER8

— Affordable AMD mini PC

Good for home-office deployments where memory and storage flexibility are desired

Raspberry Pi 5

— Ultra-low-power gateway

Best for lightweight gateway-first or experimental deployments

NVIDIA Jetson Orin Nano

— Edge AI development host

Useful for edge or lab scenarios where AI experimentation matters

Windows-based mini PCs can be deployed through WSL2 when appropriate. For Apple-only workflows such as iMessage-linked environments, at least one macOS device may still be required.

Security, Pricing & Brand Position

Practical, private, and controllable AI operations

Security & Governance

  • Single-trust-boundary design by default; separate hosts recommended when isolation requirements are stronger
  • Remote access designed around localhost, SSH tunneling, or private tailnet patterns rather than public exposure
  • Operator device pairing, gateway credentials, and restart procedures documented at handover
  • Model choice matched to risk, workflow sensitivity, and hardware capability

Pricing Structure

Base setup fee:
USD 1,000one-time

Excludes: hardware procurement, cloud/VPS spend, paid messaging accounts, domains, Tailscale subscriptions, and third-party model or API charges

Add-ons available: additional channels, migration from old host, local-model tuning, node deployment, monthly maintenance, backup monitoring, and incident-response support

Brand Statement

G9C3 stands for practical, private, and controllable AI operations. Your AI gateway lives on your hardware, under your rules, with a deployment process that is technical enough to be secure and simple enough to be usable.

Client Success Stories

Real deployments, real results from founders and teams running private AI

"G9C3 transformed how we handle patient documentation. Our private AI assistant runs 24/7 on our office Mac mini, processes intake forms, and generates summaries without any data leaving our network. The handover was seamless—no technical staff needed."

Dr. Sarah Chen
Dr. Sarah Chen
Medical Practice Owner
Hardware: Mac mini M2

Frequently Asked Questions

Common questions about G9C3 deployment services

Book a Setup Consultation

Ready to deploy your private AI infrastructure? Let's discuss your requirements.