Infobrim Secures Angel Funding at $3.5 Million Valuation
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Infobrim Secures Angel Funding at $3.5 Million Valuation

The Riyadh-based startup will use the capital to accelerate the development of its AI-native BI platform.

3/16/2026
Chaimae Elfathi
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Riyadh-based AI startup Infobrim has successfully closed its inaugural angel funding round, achieving a valuation of $3.5 million. Founded in 2024 by Mohamed Obied and Sherif Sayed, the company is poised to scale its advanced business intelligence platform. This strategic investment marks a significant milestone for the young company, which aims to redefine enterprise analytics in the region.


Strategic Funding for AI-Powered Analytics

The capital, secured from undisclosed angel investors, is earmarked for accelerating the growth of Infobrim's AI-powered solutions. This infusion of funds will directly support further product development and the expansion of its SaaS analytics platform. The company intends to enhance its software to deliver governed, board-level reporting tools for enterprise clients.

Co-founder and CEO Mohamed Obied emphasized a vision to reshape how organizations interact with their data. He stated the goal is to make analytics intuitive, context-aware, and capable of translating complex information into meaningful stories. This approach is designed to empower executives to make faster, more informed decisions with greater strategic foresight.

Innovating Business Intelligence with a Modern Architecture

At its core, Infobrim's platform is an AI-native business intelligence lakehouse built upon a modern data stack architecture. This advanced structure allows it to connect directly with various enterprise data sources for seamless integration. The system then performs sophisticated analysis to enable real-time AI analytics for its users.

The platform delivers its insights through a suite of interactive tools, including real-time dashboards and predictive signals. These features are specifically designed to support the next generation of business intelligence for executive leadership teams. By deploying analytics on dedicated servers, Infobrim ensures both performance and robust data governance for its clients.

Addressing a Key Market Need

Infobrim aims to address a persistent gap in the enterprise analytics software market. The company combines the rigorous governance and scalability required by large organizations with the agility expected from modern tech startups. This unique blend positions the platform to solve a long-standing challenge for decision-makers seeking flexible yet reliable data solutions.

According to Business Development Director and Co-founder Dr. Sherif Sayed, the funding reflects strong investor confidence. He noted that the market is actively seeking data solutions that effectively merge insight, agility, and governance. This milestone validates Infobrim's vision and its timely entry into the evolving analytics landscape.

Fueling Saudi Arabia's Vision 2030

This announcement arrives amidst a surge in AI startup funding across the Middle East and North Africa. Infobrim's success aligns with the ambitious goals of Saudi Arabia's Vision 2030, which heavily promotes digital transformation. The Kingdom's expanding tech ecosystem is fostering a fertile ground for innovative companies like Infobrim to thrive.

The growing demand for modern data stack solutions and real-time analytics is driving investment across multiple sectors. Infobrim's progress contributes significantly to the burgeoning startup scene in Riyadh and the wider region. Its development underscores the increasing momentum of venture capital activity within the Kingdom's technology initiatives.


With its new funding and a clear strategic vision, Infobrim is well-positioned to make a substantial impact on the enterprise analytics sector. The company's innovative approach to business intelligence is set to empower organizations across the MENA region. This successful angel round not only fuels its growth but also highlights the dynamic potential of Saudi Arabia's technology landscape.