e& enterprise and Emergence bring data-sovereign agentic AI to regulated industries in MENAT
e& enterprise, the digital transformation arm of global technology group e&, has announced a strategic partnership with Emergence, a US-based agentic AI frontier company, to accelerate the deployment of next-generation artificial intelligence solutions across enterprises in the MENAT region, covering the Middle East, North Africa, and Türkiye.
The collaboration is designed to help organizations improve operational efficiency, generate faster and more accurate insights, strengthen governance frameworks, and boost productivity through the adoption of advanced autonomous AI agents. A key focus of the partnership is enabling secure, compliant AI deployment for regulated industries that require strict data control and sovereignty.
Under the agreement, e& enterprise becomes a key distribution and implementation partner for solutions built on the Emergence AI platform. Enterprise customers will benefit from flexible deployment options, including cloud-agnostic environments, fully on-premises installations, and air-gapped configurations. These offerings are supported by advisory and implementation services tailored to complex enterprise requirements, allowing organizations to retain full control over their data, models, and proprietary workflows.
Emergence is recognized as a leading agentic AI research and development company, founded by experienced AI practitioners. Its platform is designed to embed governance, observability, and operational controls directly into AI workflows, addressing growing enterprise concerns around data privacy, compliance, and scalable automation.
Amit Gupta, Vice President and Head of Data, AI and Fintech at e& enterprise, said the partnership represents a major step forward for enterprise AI adoption in the region. He noted that as organizations move beyond experimentation toward real-world AI implementation, governance and data sovereignty have become critical requirements. Gupta added that the collaboration introduces a new class of autonomous AI systems capable of automating complex processes while enforcing governance by design.
Satya Nitta, Co-founder and Chief Executive Officer of Emergence, said agentic automation enables enterprises to overcome fragmented data environments and reduce reliance on constant human oversight. He added that the Emergence platform allows organizations to rapidly extract actionable insights and deploy autonomous systems that deliver measurable value, while the partnership with e& enterprise extends this capability to enterprises across MENAT.
Emergence’s Semantic Intelligence platform supports automation through a three-tier framework encompassing Foundation, Intelligence, and Transformation layers. The Foundation layer automates data discovery, mapping, unification, and entity resolution. The Intelligence layer defines concepts, relationships, and rules to provide contextual understanding, while the Transformation layer uses Emergence’s Agents Creating Agents (ACA) engine to build tailored autonomous agents that automate complex workflows end to end. Use cases span industries such as semiconductors, pharmaceuticals, and financial services.
By combining Emergence’s agentic AI capabilities with e& enterprise’s regional footprint and enterprise relationships, the partnership aims to address the “last-mile problem” of AI deployment, enabling organizations to integrate AI into business-specific processes that generic solutions often fail to address.
The announcement comes amid rapid growth in AI investment across the region. According to P&S Intelligence, the GCC artificial intelligence market was valued at approximately US$12.3 billion in 2025 and is projected to reach US$26.0 billion by 2032. The growth is driven by enterprise demand for automation, process optimization, predictive analytics, and faster decision-making. In the GCC, 19 per cent of organizations have already moved from pilot projects to full-scale implementation of agentic AI, with a further 74 per cent planning adoption.
