On-Prem Solutions
On-Prem Solutions. AI that runs inside your own walls.
For many UAE organisations the question is not whether AI is useful but where the data goes. Health records, customer files, contracts and financial data often cannot leave the country, and some cannot leave the building. Our on-prem solutions put capable AI models inside your own environment.
At a glance
Models, data and logs stay in infrastructure you control, on your premises or in-region.
- Deployed on your servers or UAE-region cloud
- No data sent to public AI services
- Aligned with UAE data protection rules
- Sized to your workloads and budget
The problem
When public AI tools are not an option
Federal Law No. 2 of 2019 requires health data to be stored and processed in the UAE, and the UAE Personal Data Protection Law restricts how personal data leaves the country. Regulated sectors add their own rules on top. Teams still find public AI tools useful, which is exactly how sensitive data ends up in places it should not.
Running AI on premise removes that tension. Staff get an assistant that is as capable for their daily work, and the data, the prompts and the outputs stay inside infrastructure your IT and security teams already govern.
What we deliver
How it works
in practice.
Architecture sized to your workloads
We size models, hardware or in-region cloud capacity to the use cases on your roadmap, so you are not paying for capacity you will not use.
Installation inside your environment
We deploy the model servers, retrieval layer and connectors inside your network or UAE-region tenancy, integrated with your identity provider.
Security and compliance by design
Encryption, role-based access, audit logging and data residency controls are configured from day one and documented for your compliance team.
Operations and updates
We monitor performance, update models as better open models are released, and keep the platform patched under a clear support agreement.
How an engagement runs
- 1
Assess
We review your data classes, regulatory obligations, existing infrastructure and the use cases that need on-prem AI.
- 2
Design
We propose the architecture, model choices and hardware or in-region hosting, with costs and trade-offs laid out.
- 3
Deploy
We install, connect and secure the platform, then run the first use cases on it with your team.
- 4
Operate
We monitor, update and support the platform, and add new use cases as the roadmap moves.
What you receive
- On-premise or in-region AI platform running in your environment
- Integration with your identity provider and access controls
- Audit logging and data residency documentation
- First use cases running on the platform
- Support and update agreement
Where On-Prem Solutions makes the biggest difference
- HealthcareLess time on notes, coding and scheduling. More time with patients.
- Banking and financial servicesOperations, compliance and advice, with governance built in.
- InsuranceClaims intake, triage and fraud checks without the re-keying.
- Energy and utilitiesFrom predictive maintenance to customer service at national scale.
- EducationTutoring, student services and teacher time, backed by trials.
FAQ
Questions about On-Prem Solutions
For most business tasks such as drafting, summarising, searching internal documents and extracting data from forms, current open models running on premise perform very well. We benchmark on your own tasks before recommending a model.
Your next thirty days could change how your company works.
Talk to our founders about where AI fits in your business.