Saudi’s Infobrim Secures $3.5M to Scale AI-Powered Business Intelligence Platform

Saudi’s Infobrim Secures $3.5M to Scale AI-Powered Business Intelligence Platform
Infobrim’s growth highlights the rising importance of AI-powered business intelligence in MENA, where enterprises are increasingly seeking predictive and real-time insights.

Infobrim, a Saudi-Arabian based AI startup, has secured its first angel funding round to scale its AI-powered business intelligence platform with $3.5 million. The company is targeted at modernizing enterprise analytics across the MENA region while also supporting Saudi’s 2030 vision of digital transformation agenda. 

The money summed up at the Riyadh-based business through an angel investment round. This round demonstrates early optimism among investors in Infobrim's technology and its potential to enhance enterprise data analytics solutions in the Middle East, which values the business at about $3.5 million.

According to Eng. Mohamed Obied, CEO and Co-Founder of Infobrim, highlighted that;

"We're not just building a BI tool; we're rethinking how decision intelligence should feel”. "Our goal is to make analytics intuitive, context-aware, and alive with meaning. Every dashboard should tell a story that helps decision-makers act faster and see further."

This will boost businesses that seek to integrate large volumes of enterprise data while developing real-time insights and predictive analytics. Infobrim creates an AI-native business intelligence "lakehouse" platform. Furthermore, this platform offers executive-level dashboards and forecasting tools to decision-makers through the integration of data storage, analytics tools, and artificial intelligence capabilities.

About Infobrim

Infobrim is a Saudi Arabian enterprise software startup that develops artificial intelligence powered business intelligence and decision-intelligence platforms for organizations. The company was founded in 2024 and is headquartered in Riyadh, Saudi Arabia.

Infobrim focuses on helping businesses transform large volumes of operational data into actionable insights. This approach allows organizations to analyze distributed data without the need for complex extraction or duplication processes.