Where the rules are written

Riyadh buys AI that survives a review

Ministries, regulators and the largest banks sit in the same city, so a Riyadh programme is judged on residency, Arabic quality and the evidence trail long before anyone looks at the model.

Bad data, bad AI. We own the data layer first, then everything built on it.
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Key takeaways

What you need to know, in a minute

  1. 01

    Residency is decided per data class

    We classify first, then place each class where it is allowed to sit, and write down why.

  2. 02

    Arabic is the product, not a translation

    Government and banking language in Saudi Arabia is formal Arabic with its own vocabulary. We build for it.

  3. 03

    Evidence generated by the platform

    Lineage, access records and control checks come out of the system, not out of a document written at review time.

Public sector

Case handling inside government service desks

Arabic intake, document reading, routing and a human decision point kept in the loop.
Banking

KYC and onboarding files under SAMA expectations

Extraction from mixed Arabic and English documents with every model decision traceable to its source page.
Governance

A processing register that stays true

PDPL work fails when the register drifts from the systems. We wire it to the platform so it updates itself.
Use cases

Where this applies in practice

How work gets reviewed here

Who reviews the work

Data offices aligned to NDMO controls, security teams reading against NCA guidance, and in banking, internal audit ahead of SAMA.

What usually stalls it

Ownership of a dataset nobody claims, and an Arabic output that reads like a translated form.

Questions we get in Riyadh

Contact us in Riyadh

Name
Bilytica Riyadh
Head office
6998 Al Nahrwani, 4072, Riyadh 12311, Saudi Arabia
Hours
Sun–Thu, 09:00–18:00 AST
Languages
Arabic and English

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