Founder & CEO · Niotek

Building intelligent factories from the machines already in place.

I help manufacturers connect legacy equipment, unlock real-time operational data, and apply Industrial AI to build more visible, reliable, and resilient operations.

ANCAIRO · LONDON
Industrial AIIIoTEdge AIDigital TwinsOT / IT

The focus

Industry does not need more data.
It needs better decisions.

Factories generate enormous amounts of information, but much of it remains trapped inside legacy machines, fragmented systems, and manual processes.

My work is focused on closing that gap—connecting the physical factory floor with real-time intelligence that leaders, engineers, and operators can act on.

About Anas

Engineering technology around real industrial problems.

I am the Founder and CEO of Niotek, an Industrial AI and IIoT company operating from the UK and Egypt.

My career sits at the intersection of industrial operations, software, connected hardware, artificial intelligence, and information security. I founded Niotek to make advanced industrial intelligence practical and accessible—especially for manufacturers operating proven, long-serving machinery.

Today, my focus is helping industrial organizations move from reactive operations to real-time visibility, predictive control, and continuous improvement.

Discover Niotek

What I’m building

Making brownfield factories intelligent.

01

See

Connect machines, PLCs, sensors, and production systems to create unified operational visibility.

02

Understand

Use analytics, digital twins, and Industrial AI to expose bottlenecks, losses, and hidden capacity.

03

Act

Move maintenance and operational decisions from reactive firefighting to predictive control.

Leadership principles

What I believe.

A practical philosophy for deploying technology where reliability, trust, and outcomes matter.

01

Modernize around value

A factory should not have to discard proven equipment to become intelligent. Transformation begins by unlocking the value already on the floor.

02

Put intelligence close to operations

Industrial AI must understand the constraints, context, and consequences of real production environments—not just the data model.

03

Engineer trust from day one

Connectivity creates lasting value only when cybersecurity, continuity, and data ownership are designed into the system.

04

Measure what changes

Useful innovation shows up in clearer decisions, stronger teams, more reliable operations, and better capital efficiency.

A founder’s instinct

Technology should respond when people need it most.

During the COVID-19 crisis, my team and I developed Sanad—a platform connecting elderly and special-needs individuals with nearby volunteers—in just 25 days.

The experience reinforced a principle that continues to guide my work: meaningful innovation begins with understanding the real problem, then taking responsibility for solving it.

Read the story

Selected thinking

Ideas for the next industrial era.

View all insights
01

From machine data to plant decisions

Why factories still struggle to turn visibility into operational advantage.

02

The end of uncertainty

Why predictive maintenance is a strategic leadership issue—not simply an IT upgrade.

03

Tribal knowledge is retiring

How manufacturers can preserve expertise before it walks out of the factory.

Connect

Let’s build what industry needs next.

Whether you are exploring industrial transformation, investment, a strategic partnership, or your next career opportunity, I would be glad to hear from you.

Based betweenCairo · London