• UnifyApps raises USD 50M in Series B funding led by WestBridge Capital, with ICONIQ and others joining the round.
• The UAE-based startup plans to expand its Gulf and European teams, deepen integrations, and develop pre-built enterprise AI applications.
• UnifyApps’ AI-native platform unifies enterprise data and workflows, helping companies scale GenAI pilots into production-ready business solutions.

UnifyApps

UAE’s UnifyApp raised a USD 50 million Series B funding round. The round was led by WestBridge Capital with participation from ICONIQ and others. 

Enterprises have invested heavily in GenAI pilots, but most struggle to scale. Current LLMs cannot access siloed data or trigger real workflows. Each AI tool requires separate integrations, creating costly inefficiencies and stalled progress. 

Nearly 95% of enterprise AI projects fail. UnifyApps aims to tackle this with an LLM-agnostic platform that unifies data, systems, and workflows through a low-code, AI-native framework—turning isolated pilots into scalable, production-ready solutions.

Enterprise Operating System

Up next, with this new funding, it aims to expand its team and European presence. It also aims to accelerate platform development. Additionally, it seeks to deepen integrations across enterprise technologies while building a catalogue of pre-built applications. 

‘This new funding will allow us to expand our Gulf-based team, deepen partnerships, and deliver pre-built applications tailored for the region, helping enterprises across the UAE and Saudi Arabia realise their ambitions of becoming fully AI-native economies,” said Pavitar Singh, Co-CEO of UnifyApps.

Founded in 2023 by Pavitar Singh and Ravi Thomas along with a team of co-founders, UnifyApps is an Enterprise Operating System for AI. It seeks to empower organizations to transform into AI-native enterprises. Its horizontal platform connects systems of record, knowledge, and activity. It enables enterprises to find data and think with AI models, and act within business workflows. Thus, it seeks to turn stalled GenAI pilots into scalable, production-grade solutions.