About Us
Motherland.ai
Who we are?
Motherland AI is dedicated to transforming the African business landscape with targeted AI solutions designed with local languages and culture in mind.
Our Mission:
To harness the power of AI and tailor its potential for African markets, making technology accessible and impactful for businesses across the continent.
Our Vision:
To create a future where AI-driven solutions empower every African business to thrive, innovate, and serve their communities effectively.
Our Targeted Impact:
We're building technology that understands African languages, cultures, and business contexts to deliver truly localized AI solutions.
World-Class Team Building
Africa's AI Future
Our team combines deep expertise in AI/ML, intimate knowledge of African markets, and a proven track record of building successful technology companies.
Ademola Arigbabuwo
CEO & Founder
Born in the heart of Lagos, Nigeria, Ademola is a passionate builder positioned at the frontier of African innovation. With an unwavering commitment to uplifting communities wherever he goes, he brings a unique blend of technical excellence and business acumen to Motherland AI.
As a seasoned software engineer, Ademola has architected large-scale technologies for Fortune 100 companies and overseen transformative technological projects that have impacted millions. His dual expertise—holding degrees in both Economics and Data Science—provides him with profound insights into business dynamics and the intricate workings of global markets.
This combination of technical mastery and economic understanding positions him uniquely to build the next generation of state-of-the-art artificial intelligence frameworks specifically designed for Africa. Ademola envisions a future where African innovation leads the global AI revolution, and he's dedicated to making that vision a reality.
Adetoyeshe Arigbabuwo
CTO & Co-founder
Adetoyeshe is a seasoned technologist with a passion for building scalable AI systems. He has led engineering teams at leading tech firms and has a strong background in machine learning and software architecture.