Est. 2013 · Puerto Rico · Privately held

Your AI stack.Built, tuned, and operated by us.
Fully owned by you.

We deploy, customize, and operate AI — on-premises or hosted, open-weight or frontier. One team. Zero handoffs.

Built for the organizations that can't afford to get it wrong

  • Utilities
  • Banking
  • Healthcare
  • Government

Why most AI projects fail

The gap between layers is where projects die. The hardware vendor blames the software. The software vendor blames the network. The model provider blames the data.

We were built to close that gap — and to keep it closed. One contract, one team, one standard. From the power plug to the prompt.

Sovereign by default

Your data, your models, your hardware — inside your jurisdiction. Nothing routes through a third-party cloud unless you choose it.

Exit-ready, no lock-in

Documented architecture, open standards, and your own licenses. If we ever part ways, everything keeps running — and it's all yours.

One accountable operator

One contract, one team, one phone number. When something needs fixing, there is no one to blame but us — so we fix it.

Deployment

Three ways to run your AI. All private.

Compare all options
Option 01

Full Control

On-premises AI on hardware you own. Open-weight models. Data never leaves the building.

Best for: Regulated, government, healthcare
Option 02

Hosted Dedicated

Dedicated AI on private GPU cloud, lower upfront. Your data, your model, your rules.

Best for: Enterprise, SMBs with compliance
Option 03

Frontier via API

Frontier models via API — Claude, GPT, Gemini. No hardware, no setup.

Best for: Fast-moving teams without data restrictions

Capabilities

Every layer, one operator.

01 — Infrastructure

Infrastructure

Power, cooling, racks, fiber, GPU servers. From an empty room to a production cluster.

Regulated, EnterpriseLearn more
02 — Deployment

Model Deployment

On-premises, hosted dedicated, or via API. Architecture that fits your requirements.

All clientsLearn more
03 — Fine-tuning

Fine-tuning

Modify open-weight models with your data. Tone, terminology, behavior — shaped to your organization.

Regulated, EnterpriseLearn more
04 — Knowledge

Knowledge (RAG)

Connect AI to your documents. Answers grounded in your data, with sources you can verify.

All clientsLearn more
05 — AI Agents

AI Agents

AI that acts, not just answers. Multi-step workflows, tool use, autonomous decision-making.

Enterprise, SMBLearn more
06 — Managed Services

Managed Services

Your AI, operated 24/7. Monitoring, updates, security, optimization, support.

All clientsLearn more
07 — Consulting & Training

Not sure where to start? Start here.

AI Readiness Assessment. Strategy and roadmap. Team training. The first step for most of our clients.

Start here

Who we are

From the field, by people who do the work.

Prime TPS was built for organizations that cannot route sensitive workloads through a third-party cloud. Utilities, financial institutions, healthcare, and government — in Puerto Rico, the Caribbean, and across Latin America.

That capability is grounded in more than a decade of operating critical infrastructure. An AI deployment is an infrastructure project before it is a software project. The same crew that has kept Puerto Rico's critical infrastructure online installs the GPU servers.

The disciplines have expanded. The standard has not: show up with the right certifications, the right tools, and the institutional memory of having done the work before.

How we deliver

Four layers, one operator.

Most vendors own one layer and subcontract the rest. We are accountable for the whole stack— that's the difference.

One operator
Layer 04

Operations

24/7 monitoring, updates, security, support.

Layer 03

Customization

Fine-tuning, RAG, agents. Your data, your workflows.

Layer 02

Model Deployment

Serving architecture, inference engines, API design.

Layer 01

Physical Infrastructure

Power, cooling, racks, fiber, GPU servers.

Models

The right model for the job.

For most enterprise workloads, the gap between open-weight and frontier models has closed. The question is no longer "can open-weight compete?" It's "which model fits your workload, your compliance requirements, and your budget."

Explore the model landscape
2013
Founded
25+ yrs
Avg. engineer experience
$50M+
In projects delivered
24/7
Operations coverage

Headquartered in Puerto Rico. Serving the Caribbean and Latin America. Bilingual engineering team — English/Spanish.

US federal jurisdiction for regulated data. LATAM cultural and language proximity. One time zone for the Americas.

Contact

Let's talk about your AI.

Most conversations start with "we're not sure where to start." That's normal. We'll help you figure out what you need.

Talk to an engineer