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We are building Pakistan's own alternative to foreign ERP suites, starting with self-learning inventory forecasting.

About ZAKHIRA

ZAKHIRA Exists to End SME Capital Drainage & Stockout Distortion

Traditional ERP software was built for foreign corporate enterprises, leaving 5.2 million Pakistani SMEs stranded with static manual tracking or dollar-denominated foreign subscriptions.

ZAKHIRA provides a PKR-native, self-learning inventory engine — built to prevent stockout distortion and keep working capital inside local businesses.

How ZAKHIRA Arrived Here

ZAKHIRA started with hands-on SME retail problem-solving — analyzing store velocity, supplier delays, and cash flow bottlenecks. Across retail shops, the same pattern kept repeating:

1

Manual logs led to frequent stockouts of top-selling items

2

Excess cash remained trapped in slow-moving overstock

3

Foreign ERP suites required expensive USD subscriptions & data teams

The issue wasn't talent or intent. It was an infrastructure.

Enterprises were trying to run production AI using
Disconnected tools and vendors
Post - deployment controls
Governance as documentation
Brittle integrations that couldn't scale

Over time, it became clear to us that inventory decision-making had crossed the threshold from manual spreadsheets to core business infrastructure. That's when the journey shifted. We built ZAKHIRA — Pakistan's Self-Learning Inventory & Reorder Engine for 5.2 million SMEs.

journey

Foundations Of ZAKHIRA

2025 September

Semester Project Ideation by Visionary Founder Waqas Ishaque

2026 February

Sandbox Testing Deployed at Karachi Autos (Major Dealer)

2026 May

Refining Mobile Manager Interface & Auto-Draft PO Suite

2021-2025

2025 December

Market Research & Solo Engine Implementation by Waqas Ishaque

2026 March

Outperformed Industry Moving-Average Baselines in Sandbox Testing

2026 September

Targeted Commercial Production Launch (August–September 2026)

What we believe ( and why it matters )

In the AI era, the advantage won't come from who experiments the most. It will come from who can operate AI the best - safely, continuously, and at scale.

As LLMs and agentic workflows spread across regulated business processes, enterprises need AI that is:

Governed while it runs

Auditable by design

Reversible when needed

Deployable inside their environment

Owned end - to - end by the enterprise

That belief is the foundation of ZAKHIRA.

Vision

To eliminate inventory distortion & foreign software dependency for 5.2M Pakistani SMEs.

Mission

To build the self-learning inventory reorder engine that enables SMEs to:

  • Forecast demand and auto-draft purchase orders with zero data team
  • Eliminate stockouts of fast-selling items and reduce overstock capital drain
  • Operate on a PKR-native, modular suite with zero external AI API dependency

What we stand for

Enterprise - grade by design

We build for regulated environments, hybrid stacks, and real operational complexity.

Governance is execution, not policy

Governance must be enforceable logic - embedded in runtime.

Ownership is non - negotiable

Enterprises should have full custody of AI assets, artifacts, and IP.

Build for scale, not demos

If it can't survive production, it doesn't matter.

Meet the Team

ZAKHIRA is led by founder Waqas, a fintech builder with hands-on experience designing accessibility-focused, low-literacy interfaces for Pakistani SME store owners and managers.

Join us

We're building a category - defining foundation for enterprise AI - and we're looking for people who want to solve deep, meaningful problems.

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If you're Excited by

Production-scale AI systems

Governed runtimes

Enterprise integration complexity

Agentic + LLM operationalization

…you'll feel at home at ZAKHIRA.

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