Your data can’t leave your control
Regulation or confidentiality means you need AI that runs in your own cloud account or on‑premises.
AI Infrastructure Setup
Secure, scalable foundations so your AI runs reliably in the cloud, on‑premises or both.
Overview
Is this right for you?
AI tools are only as good as the foundations they run on. We design and build the infrastructure that lets your organisation use AI securely and reliably, at a cost you can predict.
Whether you need a private AI assistant that keeps sensitive data in‑house, a data platform that brings your systems together, or a scalable cloud environment for new AI products, we build it to fit your budget and the realities of operating in Jamaica.
Your data is in silos
Information is spread across systems that don’t talk to each other, which blocks any AI project.
You’re moving from pilot to production
A proof of concept worked and now it needs to run reliably, securely and at scale.
Cloud costs are unpredictable
You want a setup that performs well without surprise bills.
What’s included
Everything you need, nothing you don’t
We tailor every engagement, but these are the building blocks we draw from.
Architecture design
A cloud, on‑premises or hybrid design matched to your workloads, security needs and budget.
Private AI and LLM hosting
Secure deployment of language models and AI services in your own environment, including GPU provisioning where needed.
Data pipelines and warehousing
Reliable flows that bring data together from your existing systems into a clean, central store.
Vector databases and search
The building blocks for AI assistants that can search and answer questions from your own documents.
Security and access control
Identity, permissions, encryption and audit logging designed in from the start.
MLOps, monitoring and cost control
Monitoring, alerts, backups, deployment pipelines and budgets so everything keeps running smoothly.
How it works
Clear steps, no surprises
- 1
Requirements
We map your workloads, data, security needs and constraints.
- 2
Design
We propose an architecture with clear costs and trade‑offs for your approval.
- 3
Build
We provision, configure and secure the environment, testing as we go.
- 4
Handover
We document everything, train your team and stay on hand for support.
What you’ll receive
Deliverables you can act on
- A documented architecture tailored to your needs
- A working, secured environment built and configured by us
- Data pipelines and integrations connecting your key systems
- Monitoring, alerting and cost controls
- Runbooks and a handover session so your team can operate it
Working together
Flexible ways to engage us
Fixed‑scope build
A defined design and build project, quoted after a requirements review.
Phased delivery
Start with a core platform and extend it as your AI use grows.
Managed support
Optional ongoing monitoring, maintenance and optimisation.
Typical timeline
Typically 3–8 weeks, depending on complexity and the number of systems involved.
Questions
AI Infrastructure Setup: FAQs
Cloud or on‑premises: which is better?
It depends on your data sensitivity, existing systems, budget and internet reliability. Many organisations use a hybrid. We’ll recommend the option that fits rather than a one‑size‑fits‑all answer.
Can we run AI without sending data to outside companies?
Yes. We can deploy open‑source or licensed models privately in your own cloud account or on your own hardware, so your data stays under your control.
Which cloud providers do you work with?
We work with the major cloud providers and will recommend the one that best suits your needs, existing contracts and budget.
Keep growing
Services that work well together
Ready to talk about AI Infrastructure Setup?
Start with a free conversation. No jargon and no obligation, just practical advice for your organisation.