Company

The Saudi entity behind an enterprise data and AI practice built on delivery

Delivered in-country from Riyadh with Arabic-first teams, we work across the layers where enterprise value is created, a governed data estate, decisions instrumented on top of it, and outcomes measured in the KPIs leadership already reports, and reinvest a defined share of revenue into free data and AI education in the markets we serve.

Our CSR commitment
Work that keeps runningKnowledge Green commitmentArabic and English delivery

In Saudi Arabia

How Saudi Arabia practice is actually run

A Riyadh office is not the same as an in-country practice. These are the checks a Saudi buyer runs on the firm itself before signing, not on the solution.

PDPL, national data governance

Client and candidate personal data handled by the firm itself must have a lawful basis and a named controller.

A Riyadh-based delivery lead owns each engagement's data map, from proposal through offboarding.

A named contact per engagement and a data-handling note the client's DPO can file.

NDMO data management controls

Vendors must demonstrate they classify and handle their own operational data with the same discipline they sell.

Company facts, certifications and delivery records are held in one governed register, not scattered slides.

A citation-ready company facts page and a certifications list kept current.

Saudization and local delivery expectation

Saudi buyers, especially government and regulated sectors, expect in-country teams and a Saudization trajectory, not fly-in delivery.

A Riyadh delivery base, Arabic-first client-facing teams, and role families recruited continuously inside Saudi Arabia.

Named in-country points of contact and a hiring channel open year-round.

Where it runs

Client-facing delivery for Saudi engagements is run from Riyadh. Company records that touch Saudi client data are handled in-country under the same classification rules we build for clients.

Arabic, as it is spoken here

Client-facing teams in Saudi Arabia work in Saudi-MSA Arabic by default, with English used where the client requires it, not the reverse.

Established 2015 · Helsinki

Bilytica was established in Helsinki in 2015 by a partnership of leaders, each of whom had run data and technology at senior level in a different industry before founding the firm.

2015

Helsinki, Finland

A partnership formed around one thesis

2017

Melbourne, Australia

Delivery moves south

2019

Riyadh, Saudi Arabia

Saudi Arabia becomes the centre of gravity

2020+

Pakistan · UAE · Spain

Engineering depth and regional reach

Read our history

Where value is created

From the data layer to the decisions to the performance measures

Value is not created by a model. It is created when a governed data layer makes evidence available, when decisions move from opinion to instrumentation, and when both are visible in the performance measures the organisation is already accountable for. We work across every layer, in that order, because value realised at one layer without the layer beneath it does not hold.

The data layer

Making the estate trustworthy enough to carry a decision

Ownership, classification, lineage and permitted use are established for the domains in scope, and the platform beneath them is engineered for reliability rather than demonstration. This is where most enterprise AI programmes are constrained, and it is where our work begins.

Measured by trusted domains in production, not by platforms procured.

The decision layer

Moving decisions from judgement alone to evidence and instrumentation

Analytics, models and agents are placed inside the decisions that actually run the business, pricing, credit, capacity, care pathways, field operations, with human oversight, escalation and retained evidence designed in rather than added afterwards.

Measured by decisions executed on the system, and by how quickly they can be reproduced under review.

Business performance

Landing the outcome in the measures leadership already reports

Every engagement is tied at the outset to a performance measure the client already reports, cost to serve, cycle time, risk exposure, revenue retention, service levels, with a named owner on the client side and a measurement method agreed before delivery starts.

Measured on the client's own reporting line, after handover.

Knowledge Green

A Knowledge Green company

A substantial share of every dollar Bilytica earns goes back into free AI and data education for the societies we work in.

See the programmes and numbers

Cookie & Privacy Notice

We use cookies to improve your experience and analyse site traffic, in line with our Privacy Policy and the Personal Data Protection Law (PDPL). You can keep essential cookies only.