Nigeria’s homegrown AI scene just recorded one of its most significant milestones yet. On Wednesday, June 11, Bluechip Technologies announced the acquisition of YarnGPT a text-to-speech AI model that speaks in Nigerian accents and local languages in front of a hall full of Africa’s tech leaders at the Bluechip Data and AI Summit 3.0 in Lagos.
The deal marks a rare moment in Nigeria’s AI ecosystem: a locally-built model going from hackathon entry to corporate acquisition in under three years.
YarnGPT is a text-to-speech AI model built to read written text aloud in a distinctly Nigerian voice. Unlike global TTS tools that default to American or British accents, YarnGPT generates speech in Nigerian-accented English and supports at least four Nigerian languages including Yoruba, Igbo, and Hausa.
The model features a range of culturally grounded voice personas, including Idera, Chinenye, and Osagie, and is built on a Nigerian-specific dataset called Naijaweb a corpus of over 230 million GPT-2 tokens drawn from Nairaland, one of Nigeria’s most active online communities. That foundation gives YarnGPT a natural command of Nigerian Pidgin, local slang, and the cultural cadences that global AI systems routinely miss.
The technology has practical applications across education, customer service, and entertainment anywhere that localised, natural-sounding voice output matters.
YarnGPT was created by Saheed Azeez, a University of Lagos graduate who first came to public attention when he competed in Bluechip’s inaugural Data and AI Hackathon in 2023, taking home the first runner-up prize. He used that momentum to build and publicly launch YarnGPT in January 2025.
The acquisition closes a loop that started in that hackathon room. For Bluechip, it is a vindication of its talent development model. For Azeez, it is a milestone that very few Nigerian AI founders have reached.
Kazeem Tewogbade, Co-founder and CEO of Bluechip Technologies, made the announcement on the main stage of the summit, drawing an enthusiastic response from the audience. He said the company intends to continue building and acquiring products that serve its customers and slot into its growing ecosystem which currently includes Bluechip Data Platform, Cribro, BluPrime, and CashComplete.
The acquisition was announced against the backdrop of a broader, urgent conversation: where does Africa fit in the global AI race?
Held at Eko Hotel & Suites in Victoria Island, the Bluechip Data and AI Summit 3.0 themed The Future, Now: AI-Driven Transformation for Africa brought together founders, investors, policymakers, and technologists to work through that question. The room was notably young, a demographic the speakers repeatedly pointed to as Africa’s greatest strategic asset.
Olumide Soyombo, Co-founder of Bluechip Technologies, put it plainly: “We are not going to build a trillion-dollar data centre in this market in the next couple of years, because the funding is focused on the US and developed markets. But we have something that they don’t have, and that something is in the room today.”
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The sentiment was echoed in the summit’s keynote, delivered by Rosanne Werner, Founder and CEO of XCelerate IQ, who cited projections of Africa’s AI market growing from $4.9 billion to $16.9 billion by 2030 and urged the continent to act with intention now, not wait.
Tewogbade also weighed in on the jobs debate that shadows AI adoption globally, taking an optimistic line: AI “will create jobs, and also give rise to other opportunities that would either create new types of jobs. At the end of the day it’s still going to be net positive in terms of employment.
The YarnGPT acquisition matters beyond its commercial value to Bluechip. It signals something the Nigerian tech ecosystem has needed to demonstrate: that a structured pathway exists from idea to acquisition for African AI builders not just foreign investment rounds or emigration to Silicon Valley.
The hackathon-to-acquisition arc is a template. Not every founder will follow it, but its existence changes the calculus for young engineers building locally relevant AI tools. The incentive structure just got a visible, concrete proof point.
It also reinforces a wider argument gaining ground among African tech thinkers: that the continent’s edge in AI is not in compute or capital, but in cultural specificity. Building models that speak Nigerian, that understand Pidgin, that carry the rhythm of local speech that is work the rest of the world cannot replicate by simply scaling up a global dataset.
For TechRegard’s readers tracking the evolution of Nigerian tech: this is one to keep an Eye on.
