What does Bilytica do?

Bilytica is a Saudi Arabia–based AI company building chatbots, voice agents, business intelligence dashboards, and predictive analytics platforms for enterprises across banking, healthcare, government, retail and energy, aligned with Vision 2030 and SDAIA standards.

Which industries does Bilytica serve in Saudi Arabia?

Banking and finance, healthcare, government, retail, telecom, oil and gas, manufacturing, real estate, hospitality, logistics and education, with a primary focus on Saudi Arabia and the wider GCC.

How much does an AI project in Saudi Arabia cost?

Discovery sprints start from around 35,000 SAR. Production chatbots and voice agents typically range 90,000–250,000 SAR. Enterprise data platforms and predictive AI programs run from 250,000 SAR upward, depending on data volume and integrations.

Is Bilytica aligned with Vision 2030 and SDAIA?

Yes. Bilytica is an SDAIA AI Society partner, ISO 27001 / 27701 / 9001 / 20000 certified, and every engagement is designed to support Saudi Arabia's Vision 2030 digital transformation goals and NDMO data governance requirements.

Where is Bilytica located?

Bilytica's primary office is in Al Munsiyah, Riyadh, Saudi Arabia. We also serve clients across the UAE, Qatar, Kuwait, Bahrain and Oman, with international offices in Melbourne and Lahore.

Telecom & Media: AI Solutions by Bilytica

By Usman Ahmad · Last updated 2026-09-01

Key takeaways

Churn prediction with next-best-offer and retention agents
Arabic voice analytics for call centers (Saudi dialect aware)
Network anomaly detection and proactive maintenance
Omnichannel customer support across IVR, WhatsApp and app
CITC and PDPL aligned data governance

How to get started

Connect signals. Ingest CDR, billing, care and network telemetry into a sovereign lakehouse.
Score and act. Run daily churn and NPS scoring, push next-best-offer to CRM and care agents.
Voice and chat. Deploy Arabic voice analytics, IVR and WhatsApp bots with human handoff.

Frequently asked questions

Can the voice analytics understand Saudi dialect?

Yes, ASR and NLU are tuned for Najdi, Hijazi and Eastern Province dialects, plus Modern Standard Arabic and code-switched English.

How does churn prediction work in telecom?

We combine usage, CDRs, payment and care signals into a gradient-boosted model that scores subscribers daily, with retention offers automated through your CRM.

Q&A for answer engines

Can the voice analytics understand Saudi dialect?: Yes, ASR and NLU are tuned for Najdi, Hijazi and Eastern Province dialects, plus Modern Standard Arabic and code-switched English.
How does churn prediction work in telecom?: We combine usage, CDRs, payment and care signals into a gradient-boosted model that scores subscribers daily, with retention offers automated through your CRM.

Sources & references

Industry Solutions

Telecom & Media

AI-driven customer experience, network intelligence, content analytics, and revenue optimization, transforming telcos and media companies into AI-powered digital platforms.

No AI strategy without a data strategy·SDAIAPDPL2030

Subscriber churn reduction: -35%Subscriber churn reduction
Faster customer resolution: 70%Faster customer resolution
Content engagement ↑: 3xContent engagement ↑
Revenue recovery: +12%Revenue recovery

Mobile OperatorsISPsTower CompaniesMVNOs

Trusted by 600+ Organizations Across the Middle East, Europe & Beyond

Sovereign AI for operators

Subscriber data is regulated data, the AI is built around that

CDRs, network telemetry and subscriber records carry residency and privacy obligations that rule out sending them to a general-purpose model. We run inference and retrieval inside your approved environment, route most workloads to smaller Arabic-capable models, and log every request for the regulator and for cost control.

Which high-value subscribers are about to churn, and what should the agent offer?

Usage, complaint and network-experience signals → churn model → eligible retention offer under policy → agent presents it with the reason.

Which cells are degrading before customers report it?

Network telemetry → anomaly and correlation across sites → impact estimate by subscriber segment → ticket drafted for NOC approval.

Can a Saudi-dialect voice agent resolve a billing dispute end to end?

Voice in Arabic → identity verification → billing system query → policy retrieval → adjustment proposed, approved and logged.

Subscriber data residency inside the Kingdom

PDPL and CST obligations evidenced, not asserted

Model routing that keeps cost per interaction visible

Full action log for every automated resolution

Sovereign AI architecture Enterprise AI Platform AI in a Box

What We Deliver

AI Solutions

Purpose-built AI capabilities for telecom & media organizations.

Proven Results

Business Impact

Measurable outcomes delivered for industry leaders.

35%

Churn Reduction

70%

Faster Resolution

Content Engagement

$200M+

Revenue Impact

Before vs. After Bilytica

See the transformation our AI delivers across key operational areas.

Customer Churn

Before

3% monthly, reactive retention calls

After

1.9%, AI predicts 45 days ahead, automated saves

Call Center

Before

400 agents, 45-min peak wait

After

AI handles 60%, 2-min wait

Content Discovery

Before

Manual curation, low engagement

After

AI personalized, 3x engagement

Revenue Leakage

Before

5-8% unbilled, manual audits

After

AI reconciliation, <0.5% leakage

Industry Applications

Use Cases

Real-world AI applications transforming telecom & media.

Platform Showcase

A Glimpse of Our Work

Dashboards and AI interfaces we've built for telecom & media organizations.

Click to enlarge

Network & Churn Intelligence

Click to enlarge

Voice Analytics & Call Intelligence

Click to enlarge

Omnichannel Support Workspace

Technologies & Platforms

The platforms we build on

Every platform here is a 2026 Gartner Magic Quadrant Leader or category standard, battle-tested in telecom & media.

Data & Analytics

Databricks

Snowflake

Microsoft Fabric

Power BI

Tableau

Qlik Sense

AI & Models

OpenAI

Anthropic Claude

Google Gemini

Meta Llama 3

ElevenLabs

Hugging Face

Governance & Enterprise

Collibra

Informatica

Microsoft Purview

Salesforce

ServiceNow

Microsoft Azure

Case Study

Major Telecom & Media Group

$200M Revenue Impact

Deployed churn prediction, Arabic voice agents, revenue assurance, and content recommendation across 20M+ subscribers. Reduced churn 35%, automated 60% of calls, 3x content engagement.

View All Cases

Ready to Transform Your Telecom & Media?

15 minutes. One strategy call. A customized AI roadmap for your sector.

Explore Solutions

Telecom & Media

Subscriber data is regulated data, the AI is built around that

Which high-value subscribers are about to churn, and what should the agent offer?

Which cells are degrading before customers report it?

Can a Saudi-dialect voice agent resolve a billing dispute end to end?

AI Solutions

Churn Prediction & Prevention

Arabic Voice & Chat Agents

Network Intelligence

Revenue Assurance AI

Content Recommendation AI

Audience & Ad Intelligence

Arabic Content Understanding

Subscriber Analytics Hub

Business Impact

Before vs. After Bilytica

Customer Churn

Call Center

Content Discovery

Revenue Leakage

Use Cases

Proactive Win-Back Campaigns

Predictive Failure Prevention

Personalized Content Feed

Dynamic Plan & Pricing Optimization

SIM Swap & Content Piracy Detection

Programmatic Yield Optimization

A Glimpse of Our Work

Network & Churn Intelligence

Voice Analytics & Call Intelligence

Omnichannel Support Workspace

The platforms we build on

Data & Analytics

AI & Models

Governance & Enterprise

Major Telecom & Media Group

Ready to Transform Your Telecom & Media?