Enterprise-grade GPT, on your terms.
Rsquare deploys private, governed GPT and LLM solutions for banks, government, and enterprise across the GCC, so your teams get frontier-model capability without your data leaving your control.
Frontier AI. Enterprise control.
Off-the-shelf GPT tools weren't built for regulated data. We deploy enterprise GPT solutions with the access controls, data governance, and deployment flexibility that banks, government, and regulated industries actually require, without giving up the capability.
A complete governance capability map.
From private deployment to auditable guardrails.
Private & On-Premise LLM Deployment
Open-weight models running on your own hardware, or a governed connection to your organization's existing internal LLM.
Custom GPT Wrappers & Internal Tools
Purpose-built internal applications on top of GPT and other frontier models, wired into your own systems and data.
Data Masking & Governance
Sensitive fields masked before any call leaves your network, with a clear, auditable policy for what a model can and cannot see.
Role-Based Access Control
Every user's access to the model, its tools, and its outputs governed by your existing identity and permissions system.
Air-Gapped Deployment Options
Fully disconnected deployments for environments where no data or model traffic may leave a secured network.
Model Evaluation & Guardrails
Ongoing evaluation against real enterprise tasks, with guardrails tuned to your risk tolerance before anything reaches production.
GPT your auditors can approve.
We deploy GPT the way banks and government need it deployed: governed access, masked data, and a full audit trail on every call. This is why the Central Bank of Bahrain named Rsquare winner of its Reg-Tech Innovation Challenge, and why our AI runs inside regulated institutions today.
- Governed, role-based access
- Full call audit trails
- Masked or air-gapped data handling
Cloud, hybrid, or fully private GPT.
The same enterprise GPT capability, deployed to match your data sovereignty, compliance, and cost requirements.
Cloud GPT
Frontier models with no infrastructure to manage. Sensitive data is masked before anything is sent: the model sees patterns, never your customer data.
Hybrid GPT
Sensitive data stays in-house; cloud GPT handles the heavy reasoning, with selective, governed data routing.
On-Premise GPT
Open-weight models running on your own hardware. Air-gapped capable. Data never leaves your network.
We deploy enterprise GPT in three stages.
Requirements & Data Audit
We map what your teams need GPT to do and what data governance rules must apply before a single call is made.
Build & Harden
Our engineers build the deployment, wire in access controls, and test it against your actual compliance requirements.
Operate & Govern
Ongoing monitoring, access review, and guardrail tuning as usage and requirements evolve.
Part of a wider AI practice.
This is one of four specialist capabilities inside our AI practice. Explore the others, or see how they come together.
What we build with.
Where does your team already want GPT, but can't risk the data?
That's exactly where we start. Book a 30-minute assessment.
Schedule a Free Consultation