Founder & CEO

Umar Abdullah.

Built Entalogics from a traditional dev agency into an AI-first agency. 600+ combined projects shipped across the world. Made the jump to AI in 2023 — while most agencies were still debating if Copilot was "cheating."

Top Rated PlusUPWORK5.0 Client RatingFeaturedCLUTCHFeaturedGOODFIRMS30 Under 30CONNECTED PAKISTAN

Read the founder story

“I spent years writing software the slow way. Then AI got good enough to change that — and most agencies kept doing things the slow way anyway.”

Umar Abdullah, CEO & Founder of Entalogics

CHAPTER 01

The old reality

I've been building software for over 11 years.

For most of that time, the process looked the same everywhere. You hire developers. They write code manually. Line by line. File by file. Feature by feature.

A project that needed 50 screens? That's 4-5 months of work. A SaaS platform with payments, dashboards, and user management? 6 months minimum. A custom Chromium browser? A year or more.

That was the reality. Not because developers were slow. But because the work was genuinely time-consuming. Every component had to be hand-coded. Every API endpoint written from scratch. Every test case created manually.

I built hundreds of projects this way. Web apps. Mobile apps. Desktop applications. SaaS platforms. Custom browsers. The process worked - but it was slow, expensive, and hadn't fundamentally changed in over a decade.

CHAPTER 02

The turning point

Then in late 2022, something shifted.

AI coding tools started becoming genuinely usable. Not perfect. Not replacing developers. But useful in ways that changed how fast a skilled engineer could work.

I started experimenting. First with basic code generation. Then with AI-assisted architecture planning. Then testing. Then documentation.

AI doesn't replace good engineers. It makes them dramatically faster.

CHAPTER 03

What AI handles vs. what engineers decide

The math completely changes when you split the work right.

AI accelerates

Boilerplate code that used to take a week now takes hours. Test cases can be generated automatically. Documentation can be produced as part of the workflow.

Engineers decide

Business logic, scalable architecture, feature prioritization, security decisions, and edge-case handling still require senior engineering judgment.

That's what senior engineers do. And when you combine a senior engineer's judgment with AI's speed - the math completely changes.

CHAPTER 04

Why Entalogics was built

I knew the development industry was about to change fundamentally.

Most agencies were still billing for manual labor. Charging clients for the time it takes a developer to type code. But if AI handles 40-60% of that typing - and agencies don't change their process - clients are paying for work that isn't being done by hand anymore.

That's when I started Entalogics.

Not as another dev shop. But as a company built from the ground up around AI-augmented development. Every engineer uses AI across the full lifecycle - architecture, coding, testing, deployment, documentation. It's not an add-on. It's how we work.

I took everything I learned from 11 years and hundreds of projects and rebuilt the entire development process around one question:

“If AI handles the repetitive work, what should engineers actually spend their time on?”

The answer: the things that determine whether your product succeeds or fails.

Architecture decisions. Business logic. Security. Scalability. Edge cases. Code review.

The 30% of the work that's responsible for 90% of the outcome.

That's what Entalogics does differently. We didn't bolt AI onto an old process. We built a new process around AI from day one.

The difference

What changed when we built around AI.

The same quality. Fundamentally different speed. This is what a 600-project pattern recognition looks like when you stop billing for typing.

Area

Boilerplate code

− Before (traditional)

Written manually, 1-2 weeks per module