e& enterprise and Emergence AI Partner To Bring Data-Sovereign Agentic AI To Regulated Industries Across MENAT

A new partnership between e& enterprise, the digital transformation arm of global technology group e& and Emergence AI, a US-based agentic AI company focused on autonomous enterprise workflow automation, aims to accelerate the adoption of advanced, data-sovereign agentic AI across regulated industries in the MENAT region (Middle East, North Africa and Türkiye).

Announced on January 21, 2026, the collaboration brings together e& enterprise’s regional enterprise reach with Emergence’s autonomous AI platform, giving organisations access to next-generation AI systems while maintaining full control over their data, models and workflows.

The focus is clear: helping enterprises move beyond experimentation and toward AI that delivers real operational impact, not just flashy headlines.

Why Does Data Sovereignty Matter for Enterprise AI?

A central theme of the partnership is data sovereignty, which remains a critical requirement for industries such as finance, healthcare, telecommunications and government. According to the announcement, organisations using the Emergence platform through e& enterprise will be able to deploy AI in highly flexible environments, including cloud-agnostic setups, fully on-premises deployments and even air-gapped systems.

This approach is designed to ensure that enterprises retain complete ownership and control over sensitive data and proprietary processes while still benefiting from advanced automation and intelligence.

Amit Gupta, VP and Head of Data, AI and Fintech at e& enterprise, said the partnership reflects the changing needs of enterprise AI adoption: “This partnership marks a pivotal moment in the evolution of enterprise AI across the MENAT region,” Gupta said.

“Enterprises are moving quickly to operationalise AI, and they need solutions that deliver real impact – not just experimentation.”

He added that as AI becomes more agentic, governance becomes essential. According to Gupta, Emergence provides “built-in governance, observability and controls into every workflow” while ensuring data and model sovereignty, allowing organizations to deploy AI “safely, confidently, and at scale.”

What Makes Emergence’s Platform Different?

Emergence is a leading agentic AI research lab founded by experienced AI veterans. Its platform is built around what it calls Semantic Intelligence, designed to allow autonomous agents to reason, act and automate complex workflows across enterprise systems. The platform operates through a three-tier framework:

• The Foundation layer automates core data tasks such as discovery, mapping, unification and entity resolution.
• The Intelligence layer defines concepts, relationships and rules to deliver contextual understanding.
• The Transformation layer uses Emergence’s ACA engine (Agents Creating Agents) to build bespoke agents that automate workflows end-to-end.

The announcement highlights use cases including semiconductor yield analysis, pharmaceutical research and financial reporting, positioning the platform as suitable for complex, highly regulated environments where accuracy and governance are essential.

Satya Nitta, Co-founder and CEO of Emergence, said many organizations struggle because their data and processes remain fragmented.

“Every organisation we work with shares the same challenge: they want to scale AI, but their data and processes are too fragmented and still require constant human oversight,” Nitta said.

He explained that agentic automation allows enterprises to understand and use their data more effectively, “saving months of human effort” while delivering actionable insights. Partnering with e& enterprise, he said, will help bring these capabilities to organisations across MENAT, enabling them to reduce operational friction and strengthen governance.

Solving the “Last-Mile Problem” of Enterprise AI

One of the more practical goals of the partnership is addressing the “last-mile problem” in enterprise AI. While many AI tools exist, generic solutions often struggle to adapt to the unique integrations, processes and operational realities of large organisations.

By combining Emergence’s platform with e& enterprise’s regional presence and enterprise relationships, the partnership aims to offer forward-deployed AI solutions tailored to business-specific environments, rather than one-size-fits-all products.

A Growing Market for Agentic AI in the Region

The timing of the announcement aligns with accelerating AI investment across the Gulf and wider region. According to figures cited from P&S Intelligence, the GCC artificial intelligence market is estimated at USD 12.3 billion in 2025 and forecast to reach USD 26.0 billion by 2032, driven by enterprise demand for automation, process optimisation, predictive analytics and faster decision-making

According to research by International Data Corporation, 19% of organizations in the GCC have already moved from pilots to full-scale implementation of Agentic AI, with 74% planning adoption. This indicates a strong momentum for more autonomous AI systems in enterprise environments.

Building Toward Enterprise-Grade Agentic AI

Rather than positioning the partnership around hype or consumer-facing tools, the focus here is squarely on enterprise-grade infrastructure, governance and scalability. For organisations operating in regulated sectors, the promise of autonomous AI that can be deployed without compromising control over data or compliance obligations is likely to be a significant draw.

As agentic AI continues to evolve, partnerships like this suggest the next phase of adoption will be less about experimentation and more about embedding autonomous systems directly into the operational core of large organisations, especially in organizations where data sovereignty and regulatory compliance are non-negotiable.