Velents.ai Raises $1.5M, Debuts Groundbreaking Arabic-Speaking AI Employee

4 min
Velents ai raised $1,5 million and launched Agent sa, the first fully Arabic-speaking AI employee.
Founded by Gaber and Almuhaydib, the company shifted in 2023 to broader AI solutions.
Agent sa integrates with platforms like Slack and WhatsApp, managing tasks in fluent Arabic.
Velents developed a unique Arabic language model adhering to local data laws.
This AI innovation could transform workplace technology and redefine roles in the region.
Velents.ai, a young tech company making waves in enterprise AI, has just secured $1.5 million in funding and rolled out Agent.sa — what it’s calling the first fully Arabic-speaking AI employee. The idea? To create a digital colleague, not just a tool, that can join real teams and carry out everyday tasks in Arabic, with all its local dialects and quirks.
The funding round pulled in several heavyweight angels, including senior figures from Google, BCG, and other global firms. And believe it or not, Velents isn’t stopping there — the team’s already laying the groundwork for its next raise, pencilled in for early 2026.
Founded by Mohamed Gaber and Abdulaziz Almuhaydib, the company is an Egyptian-Saudi partnership that kicked off with smart recruitment tools before pivoting in 2023 toward broader AI business solutions. Since then, Velents has been serving clients across Egypt and Saudi Arabia — from private firms to ministries and universities — helping them digitise and, frankly, rethink how teams operate.
Now, their latest creation, Agent.sa, could shake up how companies in the region think about tech at work. This AI doesn’t just answer one or two questions — it manages calls, WhatsApp chats, data reporting, and quality control… and does it all in fluent Arabic. As Gaber put it, they’re not building another productivity widget; they’re delivering a digital employee designed to “work alongside” human colleagues.
What struck me most when I first read about it — and here at Arageek we’ve seen countless AI claims fly by — is how far they’ve gone with localisation. Agent.sa isn’t lost in translation; it *thinks* and responds in Arabic, tailored to each company’s tone and dialect. That’s spot on for businesses tired of dealing with systems that only half understand them.
Almuhaydib, Velents’ co-founder and COO, likes to call Agent.sa a “smart employee,” one that learns on the job and adapts in real time. I reckon that’s quite a bold claim — but if it holds true, it could save teams endless hours of manual follow-up. On the flip side, it does make one wonder what this means for entry-level support roles in the years ahead.
From what’s been shared publicly, Agent.sa can integrate with platforms like Slack, Teams, WhatsApp, and even Instagram. Within five minutes, companies can spin up their own custom agent — voice, tone, personality and all — trained on internal data and documents. And yes, it can be deployed across departments, from sales to operations, without, as one developer cheekily said, “a bit of a faff.”
Perhaps most importantly, Velents has built its own Arabic language model from the ground up — trained on millions of texts covering various dialects — while sticking to local data laws. In simple terms, Saudi clients’ data stays in Saudi, and Egyptian data stays in Egypt. It’s the kind of compliance detail that can make or break trust in this part of the world.
There’s something fascinating about watching AI evolve from a back-office tool into what companies might one day call a team member. Here at Arageek, we often talk about how startups in the MENA region bring tech down to earth — and Velents seems to be doing just that. It might still be early days, but seeing an Arabic-speaking AI employee step onto the digital stage does feel, well… a bit historic, doesn’t it?
And if you ask me, the timing is spot-on. The region’s appetite for automation is growing fast, and Velents has managed to reflect its cultural reality without losing the tech edge. I’m definately curious to see where Agent.sa heads next.
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