AI

DevisionX and NtegralOne Unite to Revolutionise Egypt’s AI Landscape

Malaz Madani
Malaz Madani

3 min

DevisionX and NtegralOne partner to provide AI solutions for key sectors in Egypt.

Their "Intelligence Box" combines AI software and hardware to integrate on-premise systems.

Most applications will focus on computer vision, offering turnkey solutions for businesses.

The partnership aims to overcome AI adoption barriers, ensuring data privacy compliance.

Successful implementation depends on Egypt's industry readiness, with education showing keen interest.

When two Egyptian tech firms decide to join forces, it usually means something interesting is brewing in the region’s startup scene. That’s exactly the case with DevisionX, a company known for its AI software, and NtegralOne, which specialises in AI-focused hardware. The two have just announced a strategic partnership aimed at delivering end-to-end artificial intelligence solutions for several key sectors in Egypt.

The move feels spot on for the state of play here. Many organisations—whether in government, banking, telecoms, healthcare or education—are keen to adopt AI but often get tangled in issues around hardware compatibility and the headaches of deployment. I’ve spoken with founders over the years who admitted that rolling out AI internally can be “a bit of a faff,” especially when data isn’t allowed to leave the premises. And that’s precisely what this partnership is trying to solve: integrated, on-premise systems that meet strict requirements for data privacy and security.

At the heart of the collaboration is something they’re calling an “Intelligence Box”—essentially, plug-and-play packages that marry DevisionX’s computer vision and multimodal AI software with NtegralOne’s performance-optimised hardware. These boxes will reportedly handle most of the heavy lifting locally, giving companies control over sensitive data while still enjoying the benefits of advanced analytics. Mahmoud AbdelAziz, the CEO of DevisionX, was quoted highlighting how the collaboration “eliminates traditional barriers to AI” in Egypt.

From what’s been shared, around 80% of the forthcoming applications will centre on computer vision through DevisionX’s platform Tuba, while the rest lean into Retrieval-Augmented Generation (RAG), a model that blends AI analysis with access to external information. Mohamed Kelany, co-founder and CTO of NtegralOne, underlined how the set-up is meant to be turnkey: ready-to-deploy systems instead of piecemeal solutions that require months of tinkering.

If you’ve ever watched small teams in MENA trying to integrate AI while juggling compliance rules and legacy infrastructure, you’ll understand why this feels like a breath of fresh air. DevisionX’s clients now get hardware that’s tested and prepped for AI workloads, while NtegralOne’s customers suddenly have access to stuffed AI software toolkits—transforming machines into, well… full-fledged AI systems.

On the flip side, I reckon the real challenge will be less about the tech itself and more about how willing traditional industries in Egypt are to embrace it. Oil and gas players, for example, don’t always move quickly when asked to shift their internal systems. That said, the education sector—with universities building AI labs—might be more eager to adopt comprehensive packages like these.

At Arageek, we often talk about how the MENA region needs more collaborations like this—where one firm’s strength fills the other’s gap. I personally remember visiting a university in Cairo last year, where the dean mentioned how students were hungry to experiment with cutting-edge AI but lacked reliable hardware. Seeing partnerships like this one could be the missing piece in that puzzle.

So yes, it’s not just another corporate announcement. It’s a sign that Egypt’s AI market is maturing, with local players ensuring that AI isn’t just imported but adapted for regional needs. And if things go as planned, the days of organisations struggling with AI rollouts might be numbered. Or at least, considerably shorter than they’ve been before—because let’s be honest, startups (and big institutions alike) are definately tired of “AI promises” that never quite materialise.

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