Investment Case

Qatar is accelerating into AI.The data infrastructure beneath it must scale with the same confidence.

Qatar has already committed significant capital, policy attention, cloud infrastructure and national strategy toward becoming a leading digital economy.

The investment opportunity is no longer simply adopting AI.

It is creating the trusted operational infrastructure that allows AI and connected systems to use sensitive data responsibly at scale.

Qatar
$2.5B

AI and digital-innovation incentive package announced by Qatar in May 2024.

Source: International Monetary Fund — Artificial Intelligence in Qatar / Qatar Article IV Consultation.
Qatar
40B QAR

Approximate cumulative economic impact targeted through Qatar Digital Agenda 2030.

Source: Qatar Ministry of Communications and Information Technology — Digital Agenda 2030.
Qatar
26,000

ICT jobs targeted by Qatar Digital Agenda 2030 by 2030.

Source: Qatar Ministry of Communications and Information Technology.
Qatar
3rd globally

Qatar’s position in the 2023 ICT Development Index, as reported by Qatar’s Digital Economy Hub.

Source: Qatar Ministry of Communications and Information Technology — Digital Economy Hub.

Qatar does not have an AI ambition problem.

It is entering the harder stage:

Scaling AI across real organizations, real data and real governance requirements.

02The measurable execution gap

AI adoption is moving faster than enterprise readiness.

GCC
62%

GCC AI adoption in 2023.

GCC
84%

GCC AI adoption in 2025.

GCC
31%

Reached scaled or fully deployed AI.

GCC
11%

Qualified as organizations realizing substantial measurable value from scaled AI.

Source: McKinsey & Company — The State of AI in GCC Countries: In Pursuit of Scale and Value, 2025.
GCC
~80%

of surveyed GCC organizations have embedded AI into their strategic plans.

GCC
34%

have the enterprise-wide data foundation required to scale.

GCC
< 1 in 3

have the operating model and formal governance required to scale AI.

GCC
28%

have a dedicated AI ethics or compliance board.

GCC
85%

expect AI budgets to rise during 2026.

Source: Roland Berger Middle East — AI Across the Gulf, 2026.

The gap is not interest in AI.

The gap is operational readiness.

03What goes wrong with data

AI does not remove data problems.It can amplify them.

Inconsistent dataIncorrect interpretation
Missing valuesIncomplete decisions
Incorrect classificationIncorrect handling
Inconsistent schemasIntegration errors
Weak authorizationData reaches the wrong destination
Poor data qualityUnreliable AI output
GCC
53%

of GCC respondents identified output inaccuracy as a significant barrier to AI adoption.

Source: McKinsey & Company, 2025.
Global
63%

of organizations surveyed globally either did not have, or were unsure whether they had, the right data-management practices for AI.

Source: Gartner, February 2025.
Global
60%

Gartner predicted that through 2026, organizations would abandon 60% of AI projects unsupported by AI-ready data.

Source: Gartner — Lack of AI-Ready Data Puts AI Projects at Risk, February 2025.
Global
60%

of organizations failing to address cultural challenges around data and analytics governance are expected to fail to govern AI successfully by 2027.

Source: Gartner, September 2026.

A governance system that users cannot understand or operate is still a governance problem.

04What Qatar is already doing

This is not a theoretical market.Qatar is already acting.

Qatar
12

Data management domains

Qatar
61

Data management controls

Qatar
162

Data management specifications

Qatar
101

Foundational specifications

Source: Qatar National Planning Council — National Data Standards V1.0.

Qatar’s National Data Standards explicitly cover:

Data GovernanceData ArchitectureData QualityMetadataData SharingIntegrationInteroperabilitySecurityPrivacyAnalyticsData Culture

Qatar has already defined the need for trusted, consistent and interoperable data.

The commercial opportunity is helping operationalize that direction.

05Market validation

Qatar is already investing in the category.

In November 2025, Qatar’s National Planning Council and Ministry of Communications and Information Technology signed a strategic contract with Informatica to strengthen the national central database and national data-governance layer.

The stated objectives include:

Standardizing national concepts and definitions.
Streamlining data flows across government entities.
Improving data quality and accuracy.
Improving interoperability.
Ensuring integration and consistency across systems.
Supporting digital sovereignty.
Source: Qatar National Planning Council, 27 November 2025.

This does not weaken the QAYNEX case.

It validates it.

Qatar is already allocating resources to data governance, interoperability and trusted data infrastructure.

QAYNEX is not trying to convince Qatar that the category matters.

Qatar has already demonstrated that it does.

06What remains to be solved

Systems can be connected.But should this specific data be allowed to move?

01
What is this data?
02
How sensitive is it?
03
How should it be classified?
04
Which policy applies?
05
Who authorized the movement?
06
Where is it allowed to go?

Existing enterprise environments may use separate products for:

CybersecurityGRCData managementIntegrationCloudIdentityAuditCompliance

QAYNEX focuses on the operational decision connecting these concerns:

The decision before sensitive data moves.

07Where QAYNEX fits

One control workflow before sensitive data moves.

PrototypeProduct roadmap
Understand
Normalize
Classify
Check policy
Human authorization
Approved destination
Route
Record

QAYNEX is being developed as an operational control layer for sensitive enterprise data.

It helps users understand what data they are handling, identify sensitivity, apply configured governance rules, introduce human authorization where required, control destinations and preserve the decision history.

Integration asks:
Can these systems connect?
QAYNEX asks:
Should this data move?
08Why QAYNEX is easier to use

Enterprise governance without enterprise complexity.

Large enterprise data and governance environments can involve specialized technical teams, configuration, implementation work, multiple interfaces and deep expertise.

QAYNEX takes a deliberately focused approach:

Make the governance decision clear to the person responsible for the data.

Prototype workflow
  1. 01
    Bring in or connect data.
  2. 02
    QAYNEX interprets its structure and context.
  3. 03
    Sensitive information is surfaced.
  4. 04
    Classification is recommended.
  5. 05
    Relevant configured rules are displayed.
  6. 06
    The user receives a clear decision workflow.
  7. 07
    Human authorization is captured where required.
  8. 08
    Only the reviewed destination is selected.
  9. 09
    The decision is recorded.

From a complex governance problem

to a guided human decision.

09Arabic + English from the start

Qatar is a bilingual operating environment.QAYNEX should operate like one.

Arabic is not intended to be a translated marketing layer.

QAYNEX is being developed around Arabic and English usage from the beginning.

The product direction includes bilingual handling across:Planned capability

InterfaceNavigationData descriptionsClassificationGovernance workflowsPolicy explanationsAuthorization screensAudit recordsReportingInvestor materials

Not an English product translated for Qatar.

A Qatar-first product intended to operate in both languages.

10Why QAYNEX is different

The market already has governance technology.The opportunity is a more specific operating layer.

GRC platforms
Primary role:
  • Risk
  • Controls
  • Compliance evidence
  • Audits
  • Policy management
Data management platforms
Primary role:
  • Catalogs
  • Lineage
  • Data quality
  • Metadata
  • Enterprise data estates
Integration platforms
Primary role:
  • Connect applications
  • Transform information
  • Move information
Cybersecurity platforms
Primary role:
  • Identity
  • Threats
  • Networks
  • Endpoints
  • Security enforcement
QAYNEX
Primary question:
Should this specific data move?
Focus:
  • Data understanding
  • Classification
  • Policy decision
  • Human authorization
  • Destination control
  • Decision record

QAYNEX is intended to work at the decision point between them.

11Why usability matters

A control is only valuable if people can use it.

In September 2026, Gartner reported that cultural resistance was cited more often than funding constraints as a reason governance initiatives fail.

Cultural resistance.60%
Funding constraints.40%
Global
Source: Gartner survey of data and analytics leaders, March 2026; published September 2026.

Governance cannot remain understandable only to specialists.

QAYNEX’s usability strategy is to make the decision visible, understandable and reviewable across:

Business usersData ownersGovernance teamsSecurityComplianceTechnical teamsLeadership

Simplicity is not cosmetic.

Simplicity is part of governance adoption.

12Why now

Every new AI system creates another destination for data.

More AIMore models
More modelsMore data access
More cloudMore data movement
More data movementMore governance decisions
More automationLess time for manual review
Global
>75%

of organizations are prioritizing AI-ready data investments because lack of data readiness remains a leading barrier to AI.

Source: Gartner, 2026.
Global
2028

By 2028, Gartner expects more than half of enterprises to move away from purely assistive AI toward systems focused on executing workflow outcomes.

Source: Gartner, April 2026.

As software receives greater authority to act across enterprise systems, permission, policy enforcement, system access and auditability become increasingly important architectural concerns.

The more autonomous enterprise technology becomes,

the more important the control layer becomes.

13Why Qatar

Qatar is not an expansion market.Qatar is the launch market.

Qatar already combines:

National AI ambition.
Government cloud investment.
Strong digital infrastructure.
National data standards.
Regulated industries.
Digital sovereignty priorities.
Arabic and English enterprise environments.
Government interoperability initiatives.
A government actively supporting high-potential technology companies.

QAYNEX is being developed around this environment from the beginning.

Not adapted to Qatar after succeeding elsewhere.

Validate in Qatar
Work with Qatari organizations
Refine the operating model
Establish Qatar as the reference market
Expand into other regulated markets

Qatar first.

Global potential after validation.

14What we are asking Qatar to back

Back the control infrastructure behind the next wave of AI.

We are seeking the opportunity to establish and validate QAYNEX in Qatar with access to the ecosystem, strategic partners, regulated enterprises and institutions required to turn the prototype into deployable enterprise infrastructure.

Qatar provides something more strategically valuable than capital alone:

A demanding real-world environment in which trusted data, sovereignty, interoperability and AI adoption already matter.

The opportunity is to establish the company in Qatar while the market is moving from AI experimentation toward enterprise-scale deployment.

15The investment thesis

The investment case

Qatar
$2.5B

Qatar AI + digital innovation incentive package announced.

40B QAR

Digital Agenda 2030 targeted economic impact.

162

Qatar national data-management specifications.

GCC
84%

GCC AI adoption.

31%

Scaled/full deployment.

34%

Enterprise-wide data foundation for AI scaling.

Global
60%

Gartner prediction for AI projects unsupported by AI-ready data being abandoned through 2026.

Qatar has already chosen AI.

Qatar has already chosen digital infrastructure.

Qatar has already chosen stronger data governance.

The next question is how those principles are operationalized every time sensitive data moves.

Understand.Classify.Authorize.Route.Record.

QAYNEX aims to make trust a workflow — not just a policy.

Qatar first.

Created around the problem Qatar is solving now.

We want Qatar to be the place where QAYNEX moves from prototype to enterprise infrastructure.

Not because Qatar is behind.

Because Qatar is moving fast enough to need the next control layer now.

Launch Live Demo

Statistics are labelled Qatar, GCC or Global and are not interchangeable. QAYNEX is a prototype; capabilities marked planned are on the product roadmap.