Private AI
AI That Runs on Infrastructure You Own
Your AI runs on your own cloud account or VPS. You open and pay for it yourself, and your business data and workflows stay on it, not on Gengrid Solutions servers.
What Stays with You
Your Infrastructure
- The cloud account or VPS the system runs on
- The bill for that account, paid directly by you
- Your business data and workflows
- The accounts you create for us, which you can revoke at any time
- The system itself, if you leave
What We Do on It
- Design, build and deploy the system
- Run a pre-flight audit before deployment
- Roll out in stages with a rollback plan
- With the managed service: monitoring, incident handling, updates and a monthly report
- Share a log of our access with you every month
Why It Matters
Your Records Stay with You
Business records, customer details and documents stay on infrastructure you own. They are not copied to a supplier's servers for processing or storage. Data protection duties are easier to meet when you know exactly where information lives and who can reach it.
You See the Bill
You open and pay for the cloud account yourself; we never hold your cloud bill. Every charge comes directly from the provider, with no hidden margin on infrastructure. Budgets and alerts can be set in the account itself.
No Lock-in
If you leave, the system stays on your infrastructure and we hand over access and documentation. Everything needed to keep it running, change supplier or bring the work in-house is written down. Leaving should be a straightforward decision, not a costly project.
Guide
Where Your AI Runs
Three Places AI Can Run
Each is a trade-off between convenience, cost and control. Many businesses use a mix: sensitive steps on infrastructure they control, general steps on a public model through their own account.
What “Your Own Account” Changes
When the account is in your name, you decide who has access, you receive the bills directly, and you can see what is running. If you change suppliers, the system stays where it is. The data your workflows handle stays in storage you control, rather than inside a supplier's platform alongside other customers.
Choosing an AI Model
Models differ in quality, speed, language ability and price, and they change quickly. Some are offered only as a service; others can be run on your own hardware. A system that lets you switch model without rebuilding protects you from price rises, quality changes and a provider withdrawing a model.
Reading a Provider'S Data Terms
Before sending business data to any AI provider, read how they treat it. Look for whether they store inputs, for how long, whether they use them to train models, where the data is processed, and how to have it deleted. Business and API terms are often stricter than consumer apps; check which ones apply.
Data Protection in Kenya
The Data Protection Act applies to personal data wherever it is processed. Transferring personal data outside Kenya comes with conditions, and some sensitive categories need particular care. Know which personal data each workflow handles and where it goes, and record it; that record is the basis for answering customers and regulators.
Costs to Expect
Running AI on your own account means two kinds of cost: the infrastructure (servers, storage) and model usage (per request, or hardware if local). Set usage limits and alerts from day one, and review the bill monthly. Costs are usually modest for small workflows, but unlimited usage can surprise anyone.
Decisions to Make Early
When on-premise Makes Sense
Running AI on your own hardware suits businesses with strict confidentiality needs, unreliable internet connections, or steady high volumes where rented capacity becomes expensive. It needs space, power backup, and someone responsible for the hardware. For most small workflows, a cloud account in your name gives enough control with less upkeep.
Backups and Recovery
Wherever the system runs, its configuration and data need backups stored somewhere else, and a tested way to restore them. Ask how long recovery would take and practise it at least once.
Discuss Where Your System Would Run
Start with a free, no-obligation process audit of one workflow. It looks at how the work is done today, where time is lost and which parts should stay with a person. The result is a clear picture of whether automation makes sense, and where to begin.
Discuss Your Deployment