DevisionX and NtegralOne Unite to Revolutionise Egypt’s AI Landscape

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 regionâs startup scene. Thatâs 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 organisationsâwhether in government, banking, telecoms, healthcare or educationâare keen to adopt AI but often get tangled in issues around hardware compatibility and the headaches of deployment. Iâve spoken with founders over the years who admitted that rolling out AI internally can be âa bit of a faff,â especially when data isnât allowed to leave the premises. And thatâs 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 theyâre calling an âIntelligence Boxââessentially, plug-and-play packages that marry DevisionXâs computer vision and multimodal AI software with NtegralOneâs 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 âeliminates traditional barriers to AIâ in Egypt.
From whatâs been shared, around 80% of the forthcoming applications will centre on computer vision through DevisionXâs 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 youâve ever watched small teams in MENA trying to integrate AI while juggling compliance rules and legacy infrastructure, youâll understand why this feels like a breath of fresh air. DevisionXâs clients now get hardware thatâs tested and prepped for AI workloads, while NtegralOneâs customers suddenly have access to stuffed AI software toolkitsâtransforming 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, donât always move quickly when asked to shift their internal systems. That said, the education sectorâwith universities building AI labsâmight be more eager to adopt comprehensive packages like these.
At Arageek, we often talk about how the MENA region needs more collaborations like thisâwhere one firmâs strength fills the otherâs 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, itâs not just another corporate announcement. Itâs a sign that Egyptâs AI market is maturing, with local players ensuring that AI isnât 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 theyâve been beforeâbecause letâs be honest, startups (and big institutions alike) are definately tired of âAI promisesâ that never quite materialise.
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