DUBAI: UnifyApps has raised $50 million in Series B funding to expand development of its enterprise platform designed to osimplify the implementation of AI across corporate systems.
According to the company, the move comes at a critical time when it is looking to expand it’s Gulf teams – as the region experiences a boom in AI investment and development.
Unify Apps already leds projects for Abu Dhabi Department of Gov Enablement, Air Arabia, Digital Dubai Authority, Department of Digital Ajman, Department of Economy & Tourism, Smiles by E&
The round was led by WestBridge Capital with participation from ICONIQ and other investors, bringing the company’s total funding to $81 million.
The company also announced that enterprise software veteran and early investor Ragy Thomas will join UnifyApps as chairman and co-chief executive officer, working alongside co-founder and CEO Pavitar Singh.
“In the UAE and Saudi Arabia, governments are advancing landmark national plans such as UAE’s AI Strategy 2031 and Saudi Arabia’s National Strategy for Data & AI (NSDAI), which places AI, data governance and digital transformation at the heart of their future growth. Every software workflow and core business process, from finance to supply chain, HR to healthcare, will be reimagined with AI at its core,” Thomas said in a satement.
“UnifyApps is building the platform that will enable enterprises in the Gulf to fulfil those visions.”
UnifyApps’ platform is intended to address the challenge with scaling generative AI projects beyond small pilots. According to the company, difficulties are often due to the inability of large language models to access fragmented systems of record and internal knowledge sources, as well as an absence of integration with workplace systems where tasks are actually executed. As a result, the company says enterprises can accumulate multiple disconnected AI applications that require separate integrations, adding cost and complexity.
UnifyApps markets its software as an “Enterprise Operating System for AI,” positioned to unify data sources, business processes, and AI models.
