Make AI accountable
before it scales.
A Qatar-first, bilingual operational AI governance platform that turns policy, risk and data controls into one auditable workflow.
Qatar is accelerating an AI economy.
Someone has to make it governable.
AI creates opportunity.
Scale creates accountability.
QAYNEX is positioned between the two.
Qatar's Digital Agenda 2030 targets approximately
~US$11B · Projected cumulative annual digital economic impact.
ICT jobs targeted by 2030.
AI adoption is moving faster than governance.
of breached organizations surveyed either lacked an AI-governance policy or were still developing one.
of organizations experiencing an AI-related security incident reported lacking proper AI access controls.
average breach-cost premium associated with high levels of shadow AI.
AI is not the exposure.
Uncontrolled AI is.
Visibility. Ownership. Evidence.
The policy environment is moving toward accountable AI.
Policy creates responsibility.
Responsibility demands execution.
Execution needs infrastructure.
QAYNEX is pursuing that operational layer.
Policy exists. Execution is fragmented.
Today, governance can be spread across
This creates
- ×No unified AI inventory
- ×Inconsistent data classification
- ×Disconnected ownership
- ×Manual approval chains
- ×Evidence reconstructed after the fact
Another policy document will not solve this.
A control system might.
QAYNEX is the operational control layer for enterprise AI.
What AI are we using?
What data does it touch?
What could go wrong?
Who accepts the risk?
What changed?
Can we demonstrate control?
QAYNEX turns governance from something organizations document into something they operate.
Governance should feel like software.
Not bureaucracy.
One AI system.
One accountable owner.
One evidence trail.
The best governance platform is the one people actually use.
Localization translates words.
Qatar-first product strategy translates context.
The idea already has an interface.
The next step is production.
Funding advances the prototype toward
- —Enterprise architecture
- —Production integrations
- —Security hardening
- —Private deployment
- —Validated Arabic localization
- —Pilot-ready infrastructure
The category is proven.
The adoption experience is not finished.
| Focus area | Global governance suites | Consulting-led programs | QAYNEX intent |
|---|---|---|---|
| Enterprise AI governance | Established | Advisory | Core |
| Arabic operating experience | Varies | Varies | Core design goal |
| No-code business workflow | Varies | Not software-led | Core design goal |
| Qatar-focused implementation | Varies | Varies | Primary market |
| Evidence and auditability | Established | Document-based | Core |
| Ease of pilot deployment | Varies | Engagement-based | 8–12 week pilot |
| Operational simplicity | Varies | Varies | Design priority |
QAYNEX's strategic positioning
QAYNEX does not need competitors to be weak.
It needs to be easier to adopt.
Primary buying trigger
“We are deploying AI faster than we can govern it.”
Initial customer categories
Target economic buyers
Land with a pilot. Expand into infrastructure.
- —One business unit
- —Core workflows
- —Policy mapping
- —Proof of value
- —AI inventory
- —Approvals
- —Controls
- —Audit evidence
- —Integrations
- —Configuration
- —Migration
- —Training
- —Governance setup
Every AI system creates another governance obligation.
Over time, QAYNEX can become the institutional memory of AI accountability.
My career has been about finding failure before users experience it.
Now I am applying that discipline to AI accountability.
Zonair Rana
Founder, QAYNEX
B.S. Computer Science & Information Systems
University of Maryland Global Campus
A.S. Cybersecurity
Anne Arundel Community College
Languages
English · German · Italian · Urdu · Punjabi · Hindi · Spanish (basic)
Cross-market product experience · DACH localization exposure · International operating perspective
01 — AI / Meta
Senior QA automation supporting Ray-Ban Meta AI Glasses. A primary German-language QA lead for DACH-market validation across conversational AI, NLP, firmware, localization and release readiness. Part of the quality effort supporting release into the German market.
45% faster regression · +60% AI automation coverage · −30% flaky failures
02 — Regulated domains
Government & Defense — federal-grade testing, traceability, audit-ready reporting, release gates.
FinTech — banking systems, PCI-DSS, fraud testing, transaction validation, audit trails.
Healthcare — HIPAA-sensitive systems, claims, member portals, PHI data validation.
Quality, controls, evidence and accountability have been recurring themes across every domain.
03 — Technical depth
Python · JavaScript · Java · SQL · Playwright · Selenium · WebDriverIO · Appium · Cypress · PyTest · REST APIs · Postman · Jenkins · GitHub Actions · AWS · BrowserStack · Jira · TestRail
AI / NLP validation · Conversational AI · Voice-model accuracy · Intent / entity validation · i18n / l10n · Multilingual QA
04 — Founder / operator · ANELUX Athletics
Product sourcing, supplier coordination, pricing, B2B sales, customer acquisition, custom manufacturing, international supply-chain coordination, enterprise and government-facing outreach.
My career has revolved around four questions
- 1What can fail?
- 2How do we detect it?
- 3Who owns it?
- 4Can we prove it was controlled?
AI governance asks the same questions — at institutional scale.
Software creates access.
Local capability creates lasting value.
QAYNEX intends to
We intend to establish operations in Qatar, recruit local technical and governance talent, transfer quality-engineering knowledge, deepen Arabic product expertise and use Qatar as the operating base for regional expansion.
From Qatar. For the region.
A Qatar-headquartered AI governance and quality-engineering company with regional ambition.
As AI adoption scales, governance infrastructure becomes increasingly important.
Will Qatar only import that capability — or participate in creating it?
The opportunity is larger than software.
It is capability Qatar can originate and export.
The first objective is not scale.
It is proof.
Validate → Prove → Expand
- —Qatar entity setup
- —Security architecture
- —Arabic terminology validation
- —2–3 design partners
- —Initial Qatar hires / advisors
- —Flagship government or regulated-enterprise pilot
Measure
- ·Governance-cycle time
- ·Approval time
- ·Evidence completeness
- ·Manual effort reduction
- —Convert pilots into annual contracts
- —Expand across departments
- —Add integrations
- —Create sector templates
- —Prepare regional expansion
One respected Qatar reference customer can change the trajectory of the company.
Turn the prototype into infrastructure.
Funding target
Up to US$1.1M
Subject to Startup Qatar / QDB diligence and program terms.
Enterprise platform · Integrations · Private deployment
Security architecture · Testing · Control library · Assurance
Pilots · Partnerships · Customer discovery
Arabic product · Governance expertise · Technical talent · Customer support
Entity · Contracts · Compliance · Infrastructure
18-month target
18 months from prototype toward enterprise readiness:
- —Qatar entity
- —Production-ready platform
- —Validated Arabic UX
- —Qatar-based team
- —Flagship pilots
- —First recurring enterprise customers
AI will scale.
Accountability must scale with it.
Qatar has already chosen acceleration.
The next question is how that acceleration remains visible, governed and accountable.
QAYNEX wants to answer that question from Qatar.
Control.
Accountability.
Scale.