About us

We're a small team building speech data for Africa

We design, collect, and deliver multilingual speech datasets so AI can serve African languages well—with integrity and scale.

Our story

Founded in 2002, Way With Words is a globally recognised audio-to-text services and solutions provider, specialising in transcription and captioning. Over the years, we've built a reputation for quality and reliability, working with clients across media, academia, and industry. Our experience in handling complex audio data and our commitment to 99%+ accurate data led us to the world of AI training data.

We started creating our own off-the-shelf datasets because we saw a gap: high-quality African speech data was hard to find, and what existed often didn't reflect the diversity and nuance of how people actually speak. We wanted to change that.

We believe inclusive AI starts with inclusive data. That means working with communities, respecting consent and privacy, and delivering datasets that are ready for real products, not just research.

We're a small team: linguists, engineers, and operations people who care about getting this right. When you work with us, you work with humans who'll answer your questions and tailor the pipeline to your needs.

Africa Next Voices and Way With Words
AI Expo Africa 2025
Beyond the data
World Read Aloud Day
World Read Aloud Day
World Read Aloud Day
World Read Aloud Day
World Read Aloud Day
World Read Aloud Day
World Read Aloud Day
World Read Aloud Day
World Read Aloud Day

What we stand for

Three principles that guide how we work.

Ethical by design

Consent, transparency, and governance are built into every step—not bolted on.

Community-first

We work with first-language speakers and local partners so data reflects real voices.

Production-ready

Structured metadata, QA, and packaging so you can ship, not clean.

How we work

We run a structured pipeline from planning and collection through QA, validation, and packaging. Every step is designed for compliance and scale. You can see the full workflow on our homepage, and explore our datasets and frameworks for the detail on what we deliver.

Meet the team

A small group of people who care about language, data, and getting it right.

Graham Morrissey

Operations

Dale Dunbar

Linguistics

Francois Smit

Technology

Want to work with us?

Get in touch