YarnGPT Acquisition Signals Growth in Nigerian Voice AI

In Short

• YarnGPT is a Nigerian text-to-speech system that can speak in local accents and major languages like Yoruba, Hausa, and Igbo.
• Bluechip Technologies has acquired YarnGPT, according to remarks made at a Lagos data and AI summit.
• The deal terms were not disclosed.

What Happened

YarnGPT was acquired by Bluechip Technologies in June 2026. YarnGPT is a text-to-speech model, which means software that turns written text into spoken audio, like an automated voiceover.

The product was built by Saheed Azeez. It was designed to sound closer to how Nigerians speak, rather than using generic voice models trained mainly on American or British accents.

Nairametrics reports that YarnGPT can translate English and other foreign languages into Nigerian-accented speech. It can also generate speech in at least four indigenous languages, including Hausa, Igbo, and Yoruba. The report adds that it can dub videos and convert written articles into audio, similar to turning news into a quick podcast.

Bluechip announced the acquisition on stage at its third Data and AI Summit at Eko Hotel and Suites in Lagos. Bluechip co-founder Kazeem Tewogbade said the company had been working on an internal tool for local dialect voice conversion, and chose to buy YarnGPT instead of building from scratch.

Why It Matters

This is a visible example of local M&A, which means one African company buying another, in Nigeria’s AI ecosystem. Many early AI teams in the region usually get pulled into foreign accelerators or hired by global firms before local buyers show up.

It also points to demand for African-language and accent AI in everyday use cases. These include media voiceovers, accessibility tools for reading content aloud, customer support voice systems, and localisation for training and education content.

The wider trend is Nigerian founders moving from using AI tools to building core AI products. Nairametrics also highlighted other founders, including the team behind Intron Voice AI, which focuses on converting clinicians’ speech into structured medical records for African hospitals.