Most AI systems today struggle to understand African languages, not because of the models, but because of limited and low-quality data.

FYTLocalization focuses on solving this problem by building structured and reliable language datasets for AI training.

We work on:
– Speech data collection
– Multi-speaker audio recording
– Transcription and data annotation
– African language coverage (Hausa, Yoruba, Igbo, and more)

Our approach combines controlled recording environments with contributor-based data collection, helping us produce cleaner and more consistent datasets compared to typical remote methods.

We support AI teams, researchers, and organizations that need high quality African language data for speech and NLP systems.

We are currently building and improving our data collection systems to make African language datasets more accessible, structured, and usable for real-world AI applications.

📩 For collaboration or dataset requests, feel free to reach out.

FYTLOCALIZATION

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FYTLOCALIZATION

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