Our Mission
Make advanced AI and enterprise software practical for mid-market organisations — not just companies with an in-house research team.
We are a team of engineers, data scientists and designers who would rather show you a working prototype than a 40-slide deck.
Shabihub started as a small software team taking on the projects larger agencies would not touch — messy legacy integrations, half-finished ERP rollouts, apps that needed rescuing. That work taught us the same lesson repeatedly: the technology is rarely the hard part. Understanding the business is.
Today we run six practices — applied AI, web, mobile, ERP, custom software and digital marketing — under one delivery standard. We are deliberately structured so the people who scope your project are the people who build it.
Make advanced AI and enterprise software practical for mid-market organisations — not just companies with an in-house research team.
To be the delivery partner regional enterprises call first when a transformation programme actually has to work.
Honest scoping, visible progress, no lock-in. If we cannot deliver something well, we say so before you pay for it.
That AI-native workflows will separate the companies that compound from the ones that stall — and that the window is now.
Values only mean something when they cost you something. These do.
If a timeline is six months, we do not say four to win the deal. Estimates come with the assumptions written down.
A working slice in production beats a perfect plan in a document. We deliver something usable early and iterate against real feedback.
We measure ourselves on whether your metric moved, not on whether we closed the tickets in the sprint.
You get the source, the architecture docs and the credentials. Nothing we build should be hostage to us staying engaged.
Someone built what you have for a reason. We understand it before we propose replacing any part of it.
Software nobody knows how to use is a failed project. Handover and training are part of scope, not an upsell.
Three engineers, one office in Hyderabad, and a queue of web application projects.
First ERPNext implementations for manufacturing and distribution clients.
Standardised on Flutter, shipping one codebase across iOS, Android and web.
Delivery presence added in Riyadh, Jeddah and Dubai to support regional clients on the ground.
Dedicated applied-AI team: LLM applications, RAG systems, forecasting and computer vision.
Every engagement now starts with the question of what should be automated or predicted, not just digitised.
A typical engagement pulls from four or five of these. You get the mix your problem needs, not a fixed pod.
ML engineers, data engineers and prompt/eval specialists.
Full-stack, mobile, backend and integration developers.
Product designers and UX researchers who prototype early.
Functional consultants for finance, inventory and manufacturing.
SEO, paid media and analytics specialists tied to pipeline.
Tell us the process that frustrates you most. We will tell you honestly whether we can fix it.