• Saudi-based Governata raised USD 4M in seed funding to scale its enterprise data governance and AI decision-making platform.
  The funding will support product development and regional expansion, strengthening compliant, AI-ready data infrastructure across Saudi Arabia and MENA.
• Launched in 2025, Governata helps institutions establish trusted data foundations for responsible adoption of enterprise AI, machine learning, and generative AI.

Governata

Saudi-based Governata raised USD 4 million in seed funding. The round saw participation from  Joa Capital, abtal.vc, Sanabil Accelerator by 500 Global, Sadu Capital, and Plus VC. It also saw participation from Hyperscope Ventures, A-Typical Ventures, and Plug and Play. 

Launched in 2025 by Khalid Almudayfir, Jehad Senan and Djamel Mohand, Governata is an enterprise data management and governance platform. It enables public and private institutions to build reliable, compliant, and AI-ready data foundations. Its AI-driven data management software seeks to reinforce data quality, governance, and classification, to ensure trustworthy, scalable, and effective AI adoption.

“By helping Saudi institutions build strong and intelligent data foundations, we’re unlocking the full potential of Generative AI and contributing to the next generation of AI-powered enterprises, guided by trust, compliance, and innovation,” said Co-Founder Djamel Mohand.

Data Management

Looking forward, with the funding, it aims to accelerate its expansion across Saudi Arabia and the Middle East. It also seeks to enable organizations to leverage data responsibly and effectively in the new era of AI-driven decision-making.

“This funding accelerates our mission to make the Kingdom a global leader in responsible, AI-ready data through tangible, scalable impact,” said Co-Founder Khalid Almudayfir

Additionally, it also aims to accelerate its product roadmap, further enhance its AI-driven decisioning capabilities, and support regional expansion. In its next phase, it intends to integrate advanced Machine Learning and Generative AI models into its architecture. This step aims to enable faster and more accurate enterprise decision-making while ensuring full data localization and protection.