Bilytica
العربية
Delivered in Saudi Arabia · Arabic first · PDPL, NDMO and NCA aligned

The idea is the easy part. Passing review in Saudi Arabia is not.

We build agents, Arabic voice, data platforms, reporting, models and governance for organisations that answer to PDPL, NDMO, the NCA and their own sector regulator. Residency is decided per data class, Arabic is a first language rather than a translation layer, and you keep the evidence when we hand over.

See how the work runs
Residency decided per data classArabic including Najdi and Hijazi speechEvidence handed over, not promisedBuilt on the platforms you already licence

Before any of this reaches production here, four questions decide whether it survives: the legal basis, who owns the data, how the model and its tools are secured, and whether it works properly in Arabic.

PDPL

Lawful basis, disclosure and data-subject rights on every flow

NDMO

Data management controls, ownership, quality and lineage

NCA

Essential cybersecurity controls around the model and its tools

العربية

Arabic as the working language, not an added translation layer

Our Services

One team owns the whole chain, not a slice of it.

Take one piece or the whole programme. Either way the same team answers for the data underneath it, the model on top of it and the evidence a Saudi reviewer will ask for.

Service Practice

Agents that act inside your systems

Service, sales, HR and operations agents that read and write in your core systems, in Arabic and English.

An agent that touches a core system is a processing activity under PDPL, not a demo. We design the action authority, the stops before anything irreversible, and the audit trail your review board will ask for, then build on your CRM, ERP and ticketing stack.

What it has to satisfy here

  • Lawful basis per field
  • Human stop before irreversible actions
  • Replayable audit log per conversation

What we deliver

  • Use-case and action-authority design
  • Agent build on your existing stack
  • CRM, ERP and helpdesk integration
  • Saudi-dialect handling and Arabic evaluation set
  • Monitoring, replayable logs and ongoing tuning

What you keep afterwards

You keep a processing register entry, an action-authority matrix and a per-conversation audit log.

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Service Practice

Voice that works in Saudi Arabic

Contact-centre voice agents and avatars, including deployments where audio never leaves your network.

Voice is where Arabic AI usually falls over: a caller from Qassim does not speak like a caller from Jeddah, and a recording is personal data the moment it is stored. We tune on Saudi speech, keep the recording path inside Saudi Arabia, and design the escalation to a human.

What it has to satisfy here

  • Recording residency and retention set before launch
  • Disclosure that the caller is speaking to a system
  • Clean handover to a human agent

What we deliver

  • Call-flow and escalation design
  • In-country or on-premises voice stack
  • Saudi dialect tuning and Arabic test set
  • Telephony and contact-centre integration
  • Managed operations with Arabic-speaking support

What you keep afterwards

You keep the retention policy, the consent script and the dialect evaluation results.

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Service Practice

The data layer underneath all of it

Platforms, pipelines and master data on Databricks, Snowflake, Microsoft Fabric or in-country infrastructure.

Most AI programmes in Saudi Arabia stall here rather than at the model. Arabic name matching, national ID quality, ministry file feeds and residency rules decide what is possible later, so we settle them first.

What it has to satisfy here

  • Data classification before the first pipeline
  • Lineage a reviewer can follow end to end
  • Cross-border transfers named, not assumed

What we deliver

  • Target architecture with residency decided per data class
  • Lakehouse or warehouse build
  • Streaming and batch pipelines
  • Arabic-aware matching and master data
  • Cost and performance tuning

What you keep afterwards

You keep the classification map, the lineage view and the transfer register.

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Service Practice

Reporting the board and the regulator both accept

Power BI, Tableau and Qlik work with a governed metric layer under it, in Arabic and English.

Two departments reporting different numbers to the same authority is a governance problem before it is a dashboard problem. We define the metric once, in both languages, then build the reporting on top of it.

What it has to satisfy here

  • One definition per metric, both languages
  • Row-level access tied to role, not to a file
  • Numbers traceable back to source

What we deliver

  • Metric definitions agreed in Arabic and English
  • Power BI, Tableau or Qlik build
  • Semantic layer and access model
  • Regulatory and board reporting packs
  • Enablement for your own analysts

What you keep afterwards

You keep the metric dictionary, the access model and the source-to-report trace.

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Service Practice

Models that survive review

Forecasting, credit, churn, fraud and quality models built to be explained, monitored and retrained.

In regulated Saudi sectors the question is rarely accuracy alone. It is who signed off, what the model saw, why a customer was declined, and how you would answer that in writing. We build for that question from the first sprint.

What it has to satisfy here

  • Documented model owner and approval
  • Reason codes a customer can be told
  • Drift and performance reviewed on a schedule

What we deliver

  • Use-case selection with the sponsor
  • Model development and validation
  • Deployment and monitoring
  • Retrieval-based GenAI on your own content
  • Drift watch and scheduled retraining

What you keep afterwards

You keep the model card, the validation report and the monitoring history.

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Service Practice

Evidence, not a policy binder

NDMO and PDPL programmes where the evidence is produced by the platform, not typed up afterwards.

Governance stalls in Saudi Arabia when the policy exists and the evidence does not. We baseline against the control set, stand up the register and catalogue in tooling you already own, and wire the control checks into the platform so they keep producing evidence.

What it has to satisfy here

  • Every control mapped to a named owner
  • Evidence generated by the platform
  • Data-subject requests answered inside the legal window

What we deliver

  • Control baseline and gap list
  • Ownership and stewardship model
  • Catalogue, lineage and quality checks
  • Processing register and data-subject request handling
  • Audit preparation and handover

What you keep afterwards

You keep the control baseline, the live processing register and the audit pack.

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How We Engage

Advisory. Build. Run.

The same sequence every time: settle the rules and the data first, then build, then hand over something your team can run.

01

Advisory & Assessment

Strategy workshops, maturity assessments, business-case development and target-state architecture, fixed-fee, scoped with you.

02

Pilot & Prove

A focused pilot on a real use case, with measurable KPIs and a clear go / no-go decision at the end.

03

Build & Implement

Full build, integration, testing and rollout, delivered by a senior, certified team that owns outcomes, not timesheets.

04

Run & Continuously Improve

Managed services, MLOps, model monitoring and quarterly business reviews, we stay accountable for the result, not just the deployment.

Why Bilytica

Why organisations here keep us after the first project.

What makes a services firm worth working with: people, track record, accountability.

We have done this here before

Delivery inside Saudi Arabia, working to Saudi regulators and Saudi procurement, with teams who have sat through the reviews rather than read about them.

A senior, certified team

Hundreds of consultants, data engineers, ML engineers, BI architects, governance leads, certified across Databricks, Snowflake, Microsoft, AWS and Google.

Arabic-first & sovereign

Native Saudi-dialect capability and on-premises / sovereign-cloud delivery, PDPL, NDMO and NCA built into how we work, not bolted on.

We own the outcome

Fixed-fee pilots, outcome-based engagements and managed services. We sit on the same side of the table as your business sponsors.

Industries We Serve

Battle-tested across 12+ industries

Our consultants bring industry context, not just technology, to every engagement.

Government & Public Sector
Banking & Finance
Healthcare
Telecom
Retail & E-Commerce
Energy & Utilities
Education
Real Estate
Logistics & Supply Chain
Hospitality & Tourism
Manufacturing
Technology
Platforms We're Certified On

We deliver on the platforms you already invest in

Our teams are certified across the world's leading enterprise data, AI and BI platforms, so we plug into your stack, not lock you into ours.

Cloud & Data Platforms

Databricks
Snowflake
Microsoft Fabric
Google BigQuery

BI & Visualization

Microsoft Power BI
Tableau
Qlik Sense
Looker

AI & LLMs

OpenAI
Anthropic Claude
Google Gemini
Meta Llama

Voice & Speech

ElevenLabs
OpenAI Whisper
Azure Speech
Synthesia

Data Integration

Informatica
Fivetran
Apache Kafka
dbt

Governance & Compliance

Collibra
Microsoft Purview
OneTrust
IBM Knowledge Catalog

MLOps & Generative AI

Databricks Mosaic AI
Azure AI Foundry
Vertex AI
MLflow

Channels & Enterprise Apps

WhatsApp Business
Salesforce
ServiceNow
SAP

Our People

A senior services team, not a marketplace of freelancers.

Hundreds of full-time consultants, data engineers, ML engineers, BI architects, voice AI specialists and governance leads, based across Riyadh, the GCC, and global delivery hubs. Practice leads average 15+ years in enterprise data and AI.

  • Certified across Databricks, Snowflake, Microsoft, AWS, Google Cloud, Tableau, Power BI, Qlik, Collibra and Informatica
  • Industry consultants for banking, healthcare, telecom, government, retail, energy and more
  • On-site delivery in Saudi Arabia and the GCC, with sovereign-cloud and on-premises capability
  • Knowledge transfer and enablement built into every engagement, your team owns it after we leave

15+ yrs

Avg. practice-lead experience

300+

Consultants & engineers

12+

Industries served

45+

Countries delivered in

Let's scope your next AI & data engagement.

Book a free 60-minute working session with a Bilytica services partner. We'll discuss your priorities, share what we've delivered for similar clients, and outline how an engagement would work, fixed-fee, build, or managed service.

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FAQ

AI & Data Services: FAQ

Common questions about how we engage, deliver and operate.

Are you a software product or a services company?

Bilytica is a professional services firm. We design, build, integrate and operate AI and data solutions for enterprises, on the platforms you already invest in (Databricks, Snowflake, Microsoft, Power BI, Tableau, Salesforce, ServiceNow and more). We don't sell shrink-wrapped software; we deliver outcomes.

Which services should I start with?

Most clients start with one of three: (1) Advisory & Assessment if you need a strategy and roadmap, (2) a focused Pilot (chatbot, voice agent, dashboard or model) to prove value on your real data, or (3) a Data Engineering or Governance program if your foundations need to be fixed first.

How do you typically engage, time & materials, fixed fee, or managed service?

All three. Advisory and pilots are usually fixed-fee. Build engagements are fixed-scope or T&M depending on clarity of requirements. Once a solution is live, most clients move us onto a managed-service contract for ongoing operations, MLOps and continuous improvement.

Can your team work on-site in Saudi Arabia and the GCC?

Yes. We have consultants based in Riyadh and across the GCC, and we routinely deploy on-site teams for the duration of a program. For sovereign engagements, all delivery and operations stay inside Saudi Arabia.

How experienced is your team?

Practice leads are long-time enterprise data and AI practitioners, certified across Databricks, Snowflake, Microsoft Azure, AWS, Google Cloud, Tableau, Power BI, Collibra and Informatica, and used to working bilingually with Saudi regulators, procurement and audit teams.

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