WAI-Q · Enterprise AI Infrastructure

Intelligence, engineered for the enterprise.

WAI-Q brings AI hardware, the WAI-Q OS intelligence layer and enterprise deployment together as one pre-integrated platform — helping organizations move AI from ambition into production.

  • Compute
  • Intelligence
  • Security
  • Sovereignty
  • Scale

01 Introducing WAI-Q

One rack.
Everything AI.

WAI-Q is a deployment-ready enterprise AI platform. Each system brings dedicated compute, high-speed acceleration, networking, storage, power and cooling together — with the WAI-Q OS software layer on top to build, deploy and govern AI workloads.

Instead of assembling hardware, software and integration services from separate vendors, organizations get one engineered system designed around the practical needs of enterprise AI.

  1. AI Hardware.GPU, NPU and Hybrid systems, pre-integrated.
  2. The OS.WAI-Q OS, the intelligence layer, powered by Alara.
  3. The Outcome.Agents and applications running real operations.
Outcome Agents & applications AgentsMicro AppsWorkflows
The OS WAI-Q OS intelligence layer ModelsGovernanceOperations
Acceleration GPU · NPU · Hybrid NVIDIA L40SHuawei Ascend
Infrastructure Integrated rack systems NetworkingStoragePowerCooling
Every WAI-Q series ships pre-integrated and runs the same OS underneath.

02 The WAI-Q advantage

Built to move AI from concept to operation.

WAI-Q removes the distance between an AI strategy and a running system — with infrastructure, software and delivery designed as one.

Pre-integrated and deployment-ready

Compute, acceleration, networking, storage, power and cooling arrive as one engineered system — not a parts list to integrate.

Software and hardware as one

Every series runs the same WAI-Q OS layer, giving consistent management and security posture across architectures.

The right architecture for the workload

Choose GPU, NPU or Hybrid systems around your workload, performance target and deployment model.

Flexible deployment models

Sovereign, dedicated and GPU-as-a-Service options — so AI can run where your data and policies require.

Enterprise agents and applications

Build intelligent agents and focused micro apps around real operational workflows, not demos.

Governed AI operations

Agentic governance keeps AI activity visible and controlled, with enterprise oversight built into the platform.

03 WAI-Q OS · Powered by Alara

The intelligence layer of WAI-Q.

WAI-Q OS is the software layer of WAI-Q, powered by the Alara platform. It is where enterprise AI is built, deployed, managed and governed — connecting models, agents and applications to the dedicated infrastructure beneath them.

  • 01

    AI Studio

    Build, import, fine-tune and manage AI models.

  • 02

    Agent Builder

    Create enterprise agents for real operational workflows.

  • 03

    Agentic Governance

    Govern and control AI operations with enterprise oversight.

  • 04

    Micro Apps

    Turn AI capabilities into focused operational applications.

  • 05

    Live & Evolve

    Keep improving deployed AI as requirements change.

  • 06

    Model Management

    Operationalize and organize models across deployments.

WAI-Q OS sits between AI models, agents and applications above, and WAI-Q GPU, NPU and Hybrid infrastructure below. WAI-Q OS POWERED BY ALARA Models Agents Apps Gover-nance Live &Evolve WAI-Q INFRASTRUCTURE GPU · NPU · Hybrid · Networking · Storage

From the Alara platform

  • Neuro-symbolic reasoning + LLMs

    Combines logical, rule-based reasoning with large language models for more accurate, reliable decisions.

  • Swarm agents

    AI agents that collaborate, learn and adapt within enterprise infrastructure.

  • Plug-and-play ecosystem

    A modular architecture with pre-trained agents and customizable modules for industry needs.

  • Connects to existing systems

    Integrates with CRM and ERP systems, custom workflows and business rules.

04 AI meets infrastructure

Three architectures.
One platform.

Software is only as capable as the infrastructure it runs on. WAI-Q pairs WAI-Q OS with purpose-built AI systems, so every workload has dedicated compute and a consistent way to manage it.

NVIDIA L40S data-center GPU

01 · GPU Series

Pure GPU power for maximum AI performance

Powered by NVIDIA L40S

For high-performance AI workloads, model training, inference and data-intensive applications.

  • AI training & LLMs
  • Computer vision
  • Data analytics
  • Scientific computing

G100G200G400G800G1600

Huawei Atlas AI server powered by Ascend NPUs

02 · NPU Series

High-efficiency AI for sovereign deployments

Powered by Huawei Ascend NPU

For efficient AI acceleration, large-scale inference and workload-specific deployments in government and enterprise.

  • Large language models
  • Natural language processing
  • Video & image analytics
  • Smart cities & government

N100N200N400N800N1600

Huawei Atlas Ascend server alongside an NVIDIA L40S GPU

03 · Hybrid Series

Two architectures on one fabric

GPU + NPU integrated

For flexible enterprise AI architectures and demanding mixed workloads, with unified management through the OS.

  • Hybrid computing
  • Workload scheduling
  • Unified management
  • Future-ready & scalable

H200H400H800H1600

Inside every WAI-Q system

  1. Compute
  2. Acceleration
  3. Networking
  4. Storage
  5. Power & cooling
  6. WAI-Q OS

Configurations are specified per engagement around workload, performance target and deployment model. Series model designations are shown for reference.

05 What WAI-Q enables

AI for real operations.

From conversational service to document verification, the Alara platform behind WAI-Q is already running in banking and government. Here is what organizations can build.

  • In production Delivered on the Alara platform
  • Platform capability Supported by WAI-Q and WAI-Q OS
In production

Enterprise AI assistants

Multilingual assistants that handle real service requests across chat and voice — from balance checks to card management.

In production

Document intelligence

Extract, cross-check and verify data from invoices and documents with OCR/ICR and guided verification.

Platform capability

AI-powered business workflows

Agents built for operational workflows, connected to CRM and ERP systems, custom workflows and business rules.

Platform capability

Knowledge discovery

Bring enterprise knowledge to the surface by combining large language models with industry-specific knowledge graphs.

In production

Government & public sector AI

Sovereign AI for mission-critical workloads — from tax administration and complaint management to public services.

In production

Data analysis & decision support

Real-time insight, sentiment analysis and analytics that help teams engage proactively and decide faster.

98%

OCR/ICR accuracy in the invoice verification system Alara delivers for Pakistan's Federal Board of Revenue.

  • Federal Board of RevenueInvoice verification & complaint management
  • Bank AlfalahWhatsApp assistant & speech-driven banking
  • United Bank LimitedMultilingual WhatsApp banking in English & Urdu
  • Habib Bank LimitedAI social listening & sentiment analysis

Deployments delivered on the Alara platform that powers WAI-Q OS.

Built for

  • Government Sovereign AI
  • Banking Finance
  • Smart cities Connected operations
  • Manufacturing Industrial AI
  • Research Science
  • Enterprise Enterprise AI

06 Case studies

WAI-Q OS in action.

Real AI applications built on the WAI-Q OS intelligence layer — across banking, government, identity, transport and defence.

Bank Alfalah digital banking hub interface

Banking

AI-powered digital banking hub

Pakistan's first 24/7 digital banking branch, delivered with Bank Alfalah — a self-service digital lobby that keeps banking open around the clock.

  • Self-service
  • Digital ecosystem
Computer vision detecting cement bags on a production conveyor

Government

Visual analytics for FBR production diligence

Computer vision on production lines helps the Federal Board of Revenue strengthen production diligence with advanced visual analytics.

  • Computer vision
  • Analytics
Cheque clearing screen with signature verification score

Banking

Real-time cheque clearing

AI-driven tools read and verify cheques — including signature matching — so banks can clear cheques in real time, 24/7.

  • Document AI
  • Signature verification
Invoice with detected fields highlighted for verification

Government

WhatsApp-based invoice verification

Citizens verify the tax information on their purchases through WhatsApp, making tax compliance as simple as sending a message.

  • Conversational AI
  • OCR
Fingerprint capture and hand detection for user authentication

Identity

Comprehensive user authentication suite

An integrated suite of biometric and computer-vision checks that speeds up online account opening and verification while improving security.

  • Biometrics
  • Liveness
Railway track with AI detection boxes

Transport

AI-enabled train derailment prediction

With Pakistan's Ministry of Railways, AI is applied to the early prediction of potential train derailments, putting passenger safety first.

  • Predictive AI
  • Computer vision
Automated shooting range targets and equipment in the field

Defence & training

Automation of shooting ranges

Automation technology that streamlines training for military and educational institutions, reducing costs and improving efficiency.

  • Automation
  • IoT
Voice assistant screens in a mobile banking app

Financial inclusion

Speech-driven banking applications

Proprietary natural language understanding lets customers use banking apps by voice, helping bring the unbanked into digital finance.

  • NLU
  • Voice AI

Applications developed by ISSM.ai, the AI company led by WAI-Q co-founder Abu Abdullah Ashar.

07 Built for enterprise

For environments where AI must be secure, scalable and controlled.

WAI-Q is designed for enterprise and public-sector organizations that need AI on infrastructure they can plan for, govern and operate with confidence.

A

Infrastructure integration

Designed to fit alongside existing data-center, network and IT environments, backed by system-integration expertise.

B

Deployment flexibility

Sovereign, dedicated or GPU-as-a-Service — matched to where data must reside and how capacity should scale.

C

Security-conscious architecture

Dedicated infrastructure, governed AI operations and access controls designed in from the start, not bolted on.

D

Enterprise implementation

A delivery partner across the lifecycle — from requirements and architecture to deployment and ongoing support.

How a WAI-Q engagement is delivered

  1. Assess

    Requirements analysis and project planning.

  2. Design

    Architecture and system design around your workload.

  3. Deploy

    Implementation and testing with minimal disruption.

  4. Support

    Maintenance and monitoring to keep systems running.

08 About WAI-Q

AI for a stronger tomorrow.

WAI-Q exists to give enterprises and governments AI they can own: dedicated infrastructure, a governed intelligence layer, and the delivery to put it into production.

Our mission

To make enterprise AI practical to deploy and safe to operate, by delivering compute, software and integration as one pre-integrated platform.

Our vision

A future where every organization, public or private, can run sovereign, production-grade AI on infrastructure it controls.

3
AI architectures: GPU, NPU and Hybrid
6
WAI-Q OS modules, from AI Studio to governance
3
Deployment models: sovereign, dedicated and GPU-as-a-Service
6
Sectors served, from government to research

What we stand for

  1. 01

    Compute

    Dedicated, purpose-built AI systems sized to the workload, not shared by default.

  2. 02

    Intelligence

    An operating layer that turns models into agents and applications that do real work.

  3. 03

    Security

    Governed AI operations and controlled access designed into the platform.

  4. 04

    Sovereignty

    AI that runs where your data and policies require, on infrastructure you control.

  5. 05

    Scale

    Architectures that grow from a single system to larger deployments as needs evolve.

09 Leadership

The people building WAI-Q.

WAI-Q is led by founders who bring together AI product leadership, national technology policy experience and a decade of government enterprise ICT leadership.

Abu Abdullah Ashar speaking at the Pakistan Artificial Intelligence Summit 2023

Co-Founder

Abu Abdullah Ashar

Founder & CEO, ISSM.ai

A software industry leader specializing in AI product development and system architecture. Ashar previously led Synfox, a software house of more than 100 engineers, and has advised Pakistan's National Assembly on international cyber security threats and contributed to national AI policy at the Prime Minister's Office.

  • Youngest member, National Security Council Committee on Emerging Technologies
  • Member, Parliamentary Committee on Digital Security
  • Member, FPCCI on Science & Technology
Fawad Ul Haque speaking at a Huawei conference

Co-Founder

Fawad Ul Haque

Co-Founder of WAI-Q, Quantum, Alif Enterprise LLC & Softblink · Ex Deputy MD, Huawei Enterprise Pakistan

A Dubai-based technology entrepreneur and enterprise sales leader with close to two decades across IT distribution, government ICT programmes and enterprise cloud. From 2013 to 2023 he rose to Deputy Managing Director at Huawei Pakistan, leading its public sector and government enterprise business nationwide.

  • National data-center and command-center programmes for FBR, PTCL, Sindh Police, NTC and NITB
  • Delivered Pakistan's first containerized data center
  • Huawei Individual Gold Award (2019); Future Star 2016–2019

10 Build your AI infrastructure

Build your next AI advantage with WAI-Q.

Explore sovereign, dedicated and GPU-as-a-Service deployment models, and discover how WAI-Q can support your organization's enterprise AI journey.