Rwazi raises Series A to expand artificial intelligence market intelligence tools

African-founded Rwazi secures Series A funding to scale its artificial intelligence solutions for real-time, data-driven market insights.

Rwazi, an African-founded artificial intelligence startup specializing in market intelligence, has secured a Series A funding round to accelerate the development of its technology. The company focuses on delivering zero-party data—direct consumer insights such as purchase details, price points, purchase locations, timing, and motivations—to multinational brands seeking to grow sales and break into new markets. Rwazi’s simulation engine and its artificial intelligence assistant enable businesses to monitor dynamic changes, make informed decisions, and predict outcomes with greater accuracy and immediacy.

Launched in 2018 out of Mauritius, Rwazi has developed both mobile and web platforms that allow users across various regions to provide granular feedback on their consumption habits. This approach not only captures online interactions but also gathers insights from offline consumer activities, resulting in highly detailed and actionable datasets. Over time, the company has evolved beyond its African origins and now serves a growing roster of clients worldwide, acting as a bridge between brands and the insights needed for tailored product strategies and marketing campaigns.

The Series A capital infusion will primarily be used to enhance Rwazi’s artificial intelligence copilot features, expand simulation capabilities, and bolster its global data infrastructure. According to co-founder and CEO Joseph Rutakangwa, the aim is to shift decision-making from intuition-driven judgments to data-driven actions powered by real-time artificial intelligence support. Rutakangwa underscores that success today requires early insights and the ability to react quickly—necessities that Rwazi’s technology is designed to deliver. This funding marks a new phase for the company as it seeks to redefine the standards for business intelligence, actionable recommendations, and market adaptability in a fast-evolving commercial landscape.

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