e& enterprise and Emergence Team Up to Drive AI Autonomy in MENAT Markets

Editorial Team

Last updated 22-01-2026

4 min

e& enterprise partners with Emergence to push “agentic AI” into regulated MENAT industries.

The focus is moving beyond pilots to autonomous systems “without losing control of data”.

Clients can deploy AI on‑premises, cloud‑agnostic or fully “air‑gapped” environments.

Emergence’s platform promises faster automation with built‑in governance and observability.

The deal reflects rising GCC AI spend and demand for compliance‑ready, real‑world tools.

A new partnership between e& enterprise and US-based AI firm Emergence is putting data-sovereign, agentic AI squarely on the agenda for regulated industries across the MENAT region. The idea is simple enough, even if the tech behind it isn’t: help large organisations move beyond AI pilots and actually put autonomous systems to work, without losing control of their data.

The collaboration brings together e& enterprise, the digital transformation arm of global technology group e&, and Emergence, a company better known in AI circles for its work on so-called “agentic” systems. These are AI agents that don’t just analyse data but can reason, take actions across multiple systems, and complete tasks end to end. For sectors like finance, healthcare or government, where compliance is a big deal and data can’t casually sit in the cloud, that’s pretty spot on.

Under the agreement, e& enterprise becomes a key regional partner for deploying Emergence’s platform. That means enterprise clients in the Middle East, North Africa and Türkiye can run these AI systems in cloud-agnostic setups, fully on-premises environments, or even air‑gapped systems cut off entirely from the internet. It’s not the most glamorous part of AI, but believe it or not, deployment options like these are often what makes or breaks adoption.

Amit Gupta, VP and Head of Data, AI and Fintech at e& enterprise, said the focus is now on real outcomes rather than endless experimentation. He pointed to data governance as a critical enabler as AI becomes more autonomous, noting that Emergence builds governance and observability directly into its workflows. The aim, he added, is to help enterprises automate complex processes at scale while keeping full sovereignty over data and models.

From Emergence’s side, co-founder and CEO Satya Nitta highlighted a familiar frustration: enterprises want AI at scale, but their data is scattered and still needs heavy human oversight. Agentic automation, he said, allows organisations to understand and use their data faster, cutting months of manual effort and turning insights into action more quickly. Partnering with e& enterprise opens the door to rolling this out across MENAT, with an emphasis on reducing friction and strengthening controls.

The tech itself is built on Emergence’s Semantic Intelligence platform, which works in three layers. First comes the foundational grunt work—discovering, mapping and unifying data. Then an intelligence layer defines concepts and relationships so systems actually understand what the data means. Finally, a transformation layer uses what Emergence calls its “Agents Creating Agents” engine to build custom AI agents that can run complex workflows, from semiconductor yield analysis to pharmaceutical research and financial reporting. It sounds clever, and I reckon it tackles the unglamorous “last‑mile” problem that generic AI tools often ignore.

Around Arageek, we’ve seen founders across the region get quietly chuffed to bits when AI finally saves time instead of creating more dashboards to babysit. But we’ve also seen how much of a faff it can be when data sovereignty isn’t designed in from day one. That said, I’m not a fan of AI hype that promises the moon and delivers a demo; partnerships like this suggest the conversation is maturing, well… slowly, but still.

The timing helps. AI investment across the GCC is accelerating fast, with the market estimated at $12.3 billion in 2025 and expected to more than double to $26 billion by 2032. Nearly one in five organisations in the GCC have already moved from pilots to full-scale agentic AI deployments, while around three-quarters are planning to follow. Those numbers explain why vendors are scrambling to offer enterprise‑ready solutions rather than shiny prototypes.

For regulated industries in MENAT, where control, compliance and context matter as much as raw intelligence, this partnership could be a meaningful step forward. Whether it truly cuts operational drag or just shifts complexity around will depend on execution, definately. But at least the focus is on making AI work in the real world, not just on stage at conferences.

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