Government & public sector
AI built forgovernment operations.
Secure, sovereign and designed for public service. Trained on your policies and regulations, fluent in Arabic, and run on infrastructure the government controls.

- AI trained on government documents
- Regulatory and contract work
- Works with existing systems
What we do
What CNTXT can do for public sector.
- It does not match government operating models or terminology.
- It does not reliably support Arabic, local context and usage.
- It cannot reason reliably over laws, regulations and official records.
- It fails national security and data-residency requirements.
- It is built for general use, not for public-sector operations.
See it work
Ask the regulations. Get an answer with its source.
Illustration of the workflow, not customer data.
Results
What public sector teams get.
- 85%
- Fewer manual operational reviews
- 60%
- Faster execution across key processes
- 50%
- Lower operational, legal and compliance risk
Published case · Defence
Mission-critical data unification for a military entity.
- 01 · The challenge
Thirty sub-entities each kept their own data systems, protocols and security postures, which left gaps in cross-functional coordination and planning.
- 02 · What we did
A secure on-premises data platform unified them and made the organisation ready for AI while meeting military compliance requirements.
- 03 · The result
- 30
- Sub-entities unified
- 100%
- On-premises deployment
“CNTXT AI capabilities and speed of execution stand out in this fast-moving AI world.”
Reda Nidhakou · AI71, investor in CNTXT AISecurity and sovereignty
Your data stays where it has to.
- On-premises
- Private cloud (VPC)
- GCC cloud
Where is government data hosted?
In national or GCC infrastructure under government control, on-premises or in a sovereign cloud.
What can the AI be trained on?
Policies, procedures, regulations, directives, internal guidance, reports and circulars.
Do we have to replace our existing systems?
No. AI is deployed into the systems and workflows you already run, without a migration.
How does a project start?
With discovery: the problem, the systems it touches and the data behind it. That becomes a roadmap, then a first build phase, a review, a second build phase and sign-off.
Other industries we work in
Open one to see what we build there and the results it has published.
Financial servicesFinancial servicesAI trained on your KYC files, VAT records, contracts and IDs, deployed into the systems you already run, with every byte kept inside UAE jurisdiction. 85% faster review cycles.Read more
Real estateReal estateWe unify the CRM, the spreadsheets and the document folders, then put AI to work on lead scoring, pricing and demand forecasting. 22% faster reviews.Read more
InsuranceInsuranceReal-time AI validation catches errors while a claim is being submitted, so fewer are rejected and reviewers spend their time on the hard cases. 72% fewer rejected claims (estimated).Read more
HealthcareHealthcareData, evaluation and Arabic voice AI for healthcare organisations, hosted in region or deployed on-premises.Read more
RoboticsRoboticsFirst-person data from real work, recorded with consent and labelled for robotics teams.Read more
Bring AI to your public sector operations.
Tell us what you run today and where the data has to stay. We will show what we would build first.

