Core42 and Data Dynamics Partner to Build the Governance Layer of G42's Sovereign AI Stack
When G42 describes Core42 as the company building "the digital backbone that powers AI-native societies," the language is deliberate. It is not selling cloud services. It is describing a national infrastructure project, one in which the UAE becomes a self-sufficient AI state, capable of deploying advanced intelligence across government and industry without routing sensitive data through systems it does not own or govern. The partnership Core42 announced with Data Dynamics on 30 April is a small but precise addition to that architecture, and understanding it requires reading it as ecosystem strategy rather than product news.
Data Dynamics, a New Jersey-headquartered platform founded in 2012, brings automated data classification, governance enforcement, and compliance management across on-premises, cloud, and hybrid environments. On its own, it is an enterprise data management play. Inside the Core42 orbit, it becomes something more specific: the capability that ensures the data feeding G42's AI infrastructure is classified, governed, and sovereign before it is ever used.
The sequencing is the point. G42 has spent the past several years assembling the compute layer, the model layer, and the cloud layer of its AI ecosystem. Core42 operates the G42 Intelligence Grid, which the company describes as a global factory for manufactured intelligence, converting compute into tokens at scale. What that grid requires to function with any reliability in regulated and government environments is data that arrives clean, classified, and auditable. The Data Dynamics partnership closes that gap, building governance directly into the operating layer rather than treating it as a downstream compliance exercise.
The integration with Core42's Sovereign Public Cloud Insight platform, which enforces both technical and policy controls over public cloud implementations for regulated data classifications, makes the sovereignty dimension concrete. Public sector institutions and regulated industries across the UAE are the organisations G42 is most directly building for, and they are also the ones with the most acute data classification obligations and the least tolerance for governance gaps. The addition of a disconnected private cloud deployment option extends the reach further: for organisations whose data cannot leave their own infrastructure under any circumstances, the solution still applies.
Talal M. Al Kaissi, Core42's chief executive, positioned the partnership in terms of foundation-building rather than feature-adding. AI readiness, he argued, begins with data that is categorised, trusted, and ready to serve, and the partnership is about integrating that readiness into the operating layer so data can be used with confidence. That framing reflects the G42 approach broadly: the goal is not to sell individual products into enterprise procurement cycles, but to make the entire stack coherent, from sovereign compute to classified data to deployed intelligence.
The choice of a US-headquartered partner for that data layer is worth noting. Data Dynamics brings capability built for Fortune 100 enterprises operating under demanding regulatory regimes, and Piyush Mehta, the company's chief executive, made clear that modern data protection requirements, including classification, access control, and continuous auditability, are now baseline expectations rather than optional enhancements. Absorbing that capability into a sovereignty-first architecture is precisely what Core42 is doing here: taking Western enterprise-grade data governance and deploying it under UAE sovereign infrastructure, rather than depending on the cloud environments in which that governance was originally designed to operate.
The broader ambition Mehta articulated, that the approach has the potential to inform global standards for sovereign data operations, is where G42's strategy and UAE national interest converge most clearly. The UAE has positioned itself repeatedly as a laboratory for AI governance models that other nations, particularly those in the Global South and across the Gulf, might adopt. A coherent, sovereign, end-to-end AI stack, covering compute, infrastructure, data classification, and governance, is the proof of concept that argument requires. The Core42-Data Dynamics partnership, unglamorous as its subject matter is, is one more component in that proof.