Mac Studio
A quiet, compact option for a small team or focused workflow. We size memory and storage around the models and files you actually need.
Best fit: first private pilotAI for teams that need a clear operating model
Give your team a better way to use AI. Keep the decisions yours.
Gombey AI brings approved model providers, team access, and a branded workspace into one place. Choose the deployment that fits your team, bring your provider keys, and review the data path before you roll it out.
Already have access? Launch your Gombey AI workspace
A practical starting point for professional services, operations, and client-facing teams.
OneTeam workspace
YourProvider keys
ClearDeployment choices
BuiltFor business use
The workspace
A shared operating layer for everyday AI work.
Give your team a consistent place to work with AI instead of leaving access, prompts, and files scattered across personal accounts.
Model choice in one place
Connect the providers your team uses and give people one consistent interface for comparing the right tool to the task.
Deployment you can explain
Choose a shared workspace or a dedicated deployment. We make the hosting model and provider-key responsibility part of the conversation.
Work with business files
Use the workspace for document-heavy work such as research, drafting, and internal knowledge tasks, subject to your chosen configuration.
Repeatable team workflows
Turn useful prompts and operating habits into a shared workflow rather than asking every teammate to start from scratch.
Team access and admin
Bring users into a managed workspace with the account and access controls included in the deployment you choose.
A workspace that fits your brand
Dedicated and private buildout options add the customization described in the offer, including custom domains, branding, and a scoped handoff.
Model access
Give each task the right model, without changing the team’s workflow.
Gombey AI is designed to give teams a consistent front door while the connected model providers and usage costs stay visible.
Compare approaches
Use the model that fits the task instead of forcing every request through one tool.
Bring your own provider keys
Your plan uses the provider or OpenRouter keys you supply; model availability and usage charges depend on that configuration.
Keep a consistent user experience
Teams can learn one workspace while you decide which providers and capabilities are appropriate.
One
workspace for model access
A clearer place to manage team access, deployment choices, and the provider keys that power your AI usage.
Deployment and data
Privacy is a configuration decision, not a slogan.
We’ll help you match the workspace to your requirements and review which systems handle data.
Private systems
We can build the box your AI runs on.
For customers who want more control than a hosted workspace, we can size and configure a customer-owned, local-first AI system around one real workflow.
NVIDIA DGX Spark
A purpose-built NVIDIA platform for heavier local models and agent workflows. We confirm availability, model targets, and network needs before purchase.
Best fit: heavier local inferenceStrix Halo
AMD Ryzen AI Max+ systems can offer large unified memory in a compact x86 platform. We validate the software stack and model support before recommending a configuration.
Best fit: value-conscious local build
Buildout offer
See buildout options
Hardware is only the first step.
Gombey Tech can configure the operating system, local model runtime, Gombey AI workspace, access, and a handoff checklist around one agreed workflow. Hardware, shipping, licenses, and third-party usage are scoped separately; privacy and compliance requirements are documented rather than assumed.
Pricing
Start with the smallest deployment that proves value.
These are starting points, not a promise of unlimited scope. We separate implementation, ongoing care or hosting, and variable hardware/provider usage before work begins.
Best first step
Gombey AI Pilot
$299/month
+ $2,500 one-time setup
- One agreed team workflow
- Branded Gombey AI workspace
- Shared or pilot-grade deployment
- One knowledge source and configured assistant
- 30-day rollout and acceptance checklist
- Provider/API keys and usage billed separately
Dedicated
$799/month
+ $6,000 one-time setup
- Dedicated deployment
- Custom domain and SSL
- Team access and admin setup
- Model and provider configuration
- Knowledge-base setup
- One agreed integration
- Handoff runbook and priority support
Private AI buildout
From $3,500
Hardware quoted separately · care from $499/mo
- Hardware selection: Mac Studio, DGX Spark, or Strix Halo
- Operating system and local runtime configuration
- Gombey AI workspace and access setup
- Local model acceptance test
- Network, documentation, and handoff
- Hardware, shipping, licenses, and usage billed separately
Enterprise
Contact sales
Custom scope and support terms
- Multi-site, dedicated, or on-premise discussion
- Private hardware fleet options
- Security and data-path review
- Integrations and custom agents
- Managed updates and monitoring by scope
- Service and support terms agreed during discovery
How it works
A straightforward path from use case to rollout.
Start with the work your team wants to improve, then choose the configuration that makes sense for the data and people involved.
1. Define the work
Bring a real workflow, such as research, drafting, knowledge lookup, or internal support, to the conversation.
2. Choose the deployment
We compare shared, dedicated, branded, and other scoped options, including who supplies the provider keys.
3. Configure the team
Set up the workspace, access, and agreed integrations, then give your team a clear place to start.
Next step
Start with one workflow. Expand after it works.
Book a pilot conversation and we’ll define the smallest useful deployment, the data path, and the acceptance test before you commit to a larger buildout.