A wave of private coding bootcamps promising jobs in months rather than years has become one of the loudest success stories in Pakistan's tech ecosystem

Pakistan’s government agencies, banks, and start-ups increasingly run on servers thousands of miles away, and every gigabyte that leaves the country carries a little more of the state’s autonomy with it — even as a handful of new projects promise to close the gap.

Pakistan’s IT sector has compounded at 17–21 percent annually for a decade — not because of generous tax rates, but despite a tax environment that changes every June. Imagine what it could do with ten years of certainty.

Pakistan produces thousands of female computer science graduates every year. Most of them will not be working in tech within five years of leaving campus.

Cloud computing allows the users to store their data on internet instead of storing in local storage device. This makes it a lot easier to manage and store data from anywhere in the world. Today, Cloud computing has become important part of modern era.

Computing is on the verge of a silent revolution-and it could shatter the core of digital security that we know of today. Is our world prepared to enter a post-quantum world?

How Algorithms Shape Perception, Limit Perspectives, and Control Digital Reality in the Age of Personalized Media

Businesses Against Data Privacy and Cybersecurity Threats

After equity investment collapsed nearly 90% in two years, Pakistan's startups are being asked to prove whether they were ever built to last — or whether the money simply ran out before the truth caught up with the hype.

Individual freelancers now generate a quarter of Pakistan's IT exports and are on track to cross $1 billion a year — but the government's $10 billion export target needs a kind of growth that hourly gig work was never built to deliver.

Urdu is spoken by roughly 230 million people, yet it makes up a sliver of the text the world's AI models are trained on. A student's side project, a telecom-backed government MOU, and a two-decade-old university lab are each trying to close that gap — on their own.

A locally developed web application that uses machine learning to predict heart disease with 88.5% accuracy, providing instant risk assessment through an accessible browser-based interface.