Key Takeaways

  • Omantel’s AI Centre of Excellence is an executive‑backed integrated AI hub aligned with Oman Vision 2040 and focused on turning pilots into scalable digital products across telecom, enterprise, and public sectors.
  • The AI Startups Program embeds startups into Omantel’s operational stack and first cohort includes five startups (Decoil, Remedy, ORKI, DeepAstra, Wiya) with production‑grade data and go‑to‑market routes.
  • The Centre is built on four core blocks—advanced infrastructure, integrated data environments, operational expertise, and innovation capabilities—designed to move AI projects from prototypes to revenue.
  • Omantel’s “Everyone AI” strategy mandates shared platforms, standards, and partnerships to scale AI services nationally and regionally, positioning Oman as a GCC testbed for deployable AI products.

Oman’s digital ambitions are shifting from strategy decks to deployed systems, with Omantel’s AI Centre of Excellence at the core. Positioned as an integrated AI innovation hub, it aligns with Oman Vision 2040 and aims to accelerate applied artificial intelligence across sectors, not just within the telco. [3][6]

💡 Key takeaway: Omantel is turning scattered AI experiments into a coordinated engine for national-scale digital products and startup growth. [2][3]


Omantel’s AI Centre of Excellence: Vision, Structure, and “Everyone AI” Strategy

Omantel launched its AI Centre of Excellence as Oman increases investment in digital infrastructure and data-driven public services under Oman Vision 2040. [3][6] The Centre acts as a unified platform for AI innovation, avoiding siloed pilots and aligning with national goals in digital transformation and economic diversification. [2][3]

It is defined as “an integrated platform designed to accelerate the adoption of advanced artificial intelligence technologies and support the transformation of promising ideas and applications into scalable digital products across multiple sectors.” [2][5]

Sectors include:

  • Telecom and network operations
  • Enterprise and B2B services
  • Public-sector and national infrastructure use cases [2][3]

📊 Data point: The Centre’s mandate emphasizes “scalable digital products across multiple sectors,” focusing on commercialization and reuse, not just internal tools. [2][5]

To make this repeatable, the Centre is built on four core building blocks:

  • Advanced infrastructure – cloud and compute for training and deploying AI at scale. [2][3]
  • Integrated data environments – governed datasets enabling safe experimentation. [2][3]
  • Operational expertise – domain specialists plus network, IT, and operations teams to embed AI into live systems. [3][4]
  • Innovation capabilities – product, design, and venture skills to turn prototypes into market offerings. [3][4]

This model is designed to move beyond one‑off proofs of concept and deliver practical, reusable implementations across industries. [3][7]

Omantel wraps these elements in its “Everyone AI” strategy, a vision to drive scalable AI adoption that supports digital transformation and sustainable value creation. [2][5] CEO Aladdin Baitfadhil describes it as “an integrated innovation ecosystem that brings together technology startups, operational expertise, and real-world implementation environments to accelerate the development of digital products capable of competing regionally and globally.” [2][5]

⚠️ Key point: “Everyone AI” means shared platforms, standards, and partnerships that power real services for customers and citizens, not just departmental chatbots. [2][3][6]


Inside the AI Startups Program: How Omantel Co‑Creates Scalable AI Products

A central track within the Centre is the AI Startups Program, which directly connects technology startups with Omantel’s teams and operational environments. [3][5] Omantel acts as a co‑creator rather than a distant investor, offering startups a live testbed and expert supervision to build commercially viable AI products. [2][3]

💼 Program focus: Co‑create, not just incubate. Startups must solve concrete operational or customer problems, then scale those solutions across Omantel’s footprint. [3][5]

Startups gain access to:

  • Production-grade data in governed environments. [2][3]
  • Telecom infrastructure and platforms to deploy AI into networks, channels, or enterprise services. [2][5]
  • Commercial routes to market, including B2B channels and consumer digital products. [2][5]

This access shortens the journey from prototype to revenue-generating AI services, replacing speculative demos with real‑world validation. [2][3] One founder in a 10-person startup called it “the difference between guessing what enterprise customers want and watching real users stress‑test your product in weeks, not years.”

The first cohort, sourced from Omantel Innovation Labs accelerations, includes five startups: Decoil, Remedy, ORKI, DeepAstra, and Wiya. [2][3][5] Each brings a specialized AI focus while being embedded into Omantel’s operational stack. [3][5]

Through the program, these startups feed into Omantel’s AI product portfolio, supporting a shift from experimentation to growth and commercialization. [3][5] Omantel acts both as:

  • Reference customer – validating AI solutions in production.
  • Go‑to‑market partner – bundling startup solutions into enterprise and public-sector offerings. [2][5]

💡 Key takeaway: If a startup’s solution scales inside Omantel, it is far more likely to scale across Oman and the wider region, aligning founder incentives with Omantel’s roadmap. [2][3][5]


Why Omantel’s Model Matters: Lessons for AI Centres and National Ecosystems

Best-practice guidance on AI Centres of Excellence stresses executive sponsorship, clear leadership, and a central mandate to avoid fragmented, ungoverned AI efforts. [7] Omantel’s CEO-backed, strategy-aligned platform reflects this model: a central team that sets standards, coordinates initiatives, and supports business units. [2][3][7]

Effective AI CoEs are also cross‑functional, combining:

  • Legal, compliance, and security
  • Business and operations leaders
  • Data scientists, engineers, and product teams
  • Workforce education and governance mechanisms [7][8]

Omantel’s emphasis on operational expertise, innovation capabilities, and startup collaboration marks a shift from “AI lab” to enterprise-wide capability grounded in governance and implemented value. [3][4][8]

Key point: The Centre is not a research island; it is an ecosystem node linking internal teams, startups, and sector partners on shared infrastructure and standards. [2][3][7]

Backed by a national telco, aligned with Oman Vision 2040, and amplified through hashtags like #EveryoneAI and #OmanVision2040, the Centre can catalyze a broader AI ecosystem. [3][6] Combining infrastructure with a startups track positions Oman as a regional testbed for AI products that can scale across the GCC, attracting talent, capital, and partnerships. [3][6]

💡 Key takeaway: For regional telecoms, Omantel offers a blueprint: anchor AI in a Centre of Excellence, plug startups into real infrastructure, and align with national digital strategies. [2][3][7]


Conclusion and Call to Action

Omantel’s AI Centre of Excellence and AI Startups Program operationalize the “Everyone AI” vision—turning ideas into scalable products, helping startups move from pilots to revenue, and accelerating cross‑sector digital transformation in Oman. [2][3][5]

For technology leaders, founders, and policymakers, this model is a practical template for building integrated AI innovation ecosystems—and, where mandates align, a strong basis for partnership. [3][6]

Sources & References (9)

Frequently Asked Questions

What is the primary purpose of Omantel’s AI Centre of Excellence?
The Centre’s primary purpose is to convert scattered AI experiments into coordinated, reusable, commercial digital products that scale across sectors. It provides executive sponsorship, governed data environments, production‑grade cloud and compute, and cross‑functional teams (legal, compliance, data science, operations, product) so solutions move beyond one‑off PoCs into live services. By acting as both a reference customer and go‑to‑market partner, Omantel shortens the route from prototype to revenue: startups and internal teams get real users, operational validation, and enterprise channels, which accelerates commercialization and aligns innovations with national digital priorities under Oman Vision 2040.
How does the AI Startups Program work in practice?
The program co‑creates with startups by embedding them into Omantel’s operational environments rather than just offering incubation. Startups gain access to governed production data, telecom infrastructure, expert supervision, and commercial channels, enabling rapid validation and scaling of solutions across Omantel’s customer base and public‑sector partners.
Why does Omantel’s model matter for other national AI ecosystems?
Omantel’s model matters because it couples infrastructure and governance with real operational use cases and startup partnerships, avoiding siloed pilots. This approach provides a repeatable blueprint—executive mandate, shared platforms, cross‑functional teams, and go‑to‑market support—that other national telcos and policymakers can adopt to accelerate practical AI adoption and attract regional talent and investment.

Key Entities

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Everyone AI
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advanced infrastructure
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Operational expertise
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Telecom and network operations
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Innovation capabilities
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Oman
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GCC
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Decoil
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ORKI
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DeepAstra
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Wiya
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