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Vambo AI and Cassava Technologies to Build African-Trained AI Models - Ecofin Agency

Published 17 hours ago2 minute read

Vambo AI, an African language AI platform, has announced a partnership with Cassava Technologies, a pan-African technology company, to co-develop African-trained large language models (LLMs) tailored to the continent’s diverse languages, cultures, and social contexts.

The collaboration, announced June 13, marks a major milestone in Africa’s AI journey, signaling a shift from being a consumer of global technologies to a producer and shaper of next-generation AI. By combining Vambo AI’s deep expertise in language technology with Cassava’s advanced compute infrastructure, the partnership aims to deliver AI systems that address real African needs across sectors, including education, health, fintech, and government services.

This is more than a partnership—it’s a continental milestone,” said Chido Dzinotyiwei, CEO and Co-founder of Vambo AI. “We are not just participating in the AI future; we are defining it.”

The initiative is set to produce Africa-centric LLMs capable of understanding and responding to users in local languages and dialects, while being grounded in the continent’s unique socio-economic and cultural realities. This move comes at a time when global concerns around linguistic representation and AI fairness have intensified, with many major models showing limited accuracy and bias when engaging with African data and voices.

Moreover, the lack of AI infrastructure on the continent—such as locally based data centers and computing power—has further stifled innovation and limited Africa’s ability to control its digital future. This partnership counters that trend by ensuring that African-trained LLMs are built and hosted on African soil, leveraging Cassava Technologies’ infrastructure to maintain data sovereignty and technological independence.

The first wave of African-trained language models is expected to be released soon, promising to reshape how Africans interact with digital systems and bridge longstanding gaps in access, inclusion, and innovation.

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