Enterprise AI · Language Technology

African
Languages Lab

African Languages Lab was doing world-class research that read like a research paper. We built the website, the positioning, and the always on presence that turns un-copyable data and peer reviewed proof into an enterprise story the whole world can actually buy into.

Sector

Enterprise language AI

Engagement

Website, strategy & full marketing execution

Region

Africa / Global

Year

Ongoing
01 - The Client
African Languages Lab (All Lab) is the leading African language AI research and deployment company. Its flagship, Mansa, is a production-grade multimodal model handling translation and speech across 30+ African languages, already integrated into enterprise localisation platforms like Phrase and Blackbird. Behind it sits All Voices, a proprietary data pipeline built by expert African linguists, and a body of peer-reviewed research published on arXiv with co-authors across UCLA, Georgia Tech, Cornell, and Columbia. The substance was extraordinary. The marketing had to make the world feel it.
02 - The Challenge
All Lab had the rarest problem in deep tech: work too good for its own marketing. The research was rigorous, the data moat was real, the enterprise integrations were live, but the story was buried under benchmarks and jargon only other researchers could read. Four audiences needed four different things from the same brand: enterprises needed reliability, partners needed credibility, funders needed vision, contributors needed a mission to join. And "African language AI" reads too easily as charity, when what All Lab actually sells is enterprise infrastructure. The work needed a home, a story, and a living presence that could keep pace with a lab shipping something new almost every week.

"The research was world-class. It just didn't sound like it yet."

03 - The Insight
In a world where anyone can rent a language model, the only unbeatable advantage is data no one else can get.
All Lab's moat isn't the size of its model. It's 19 billion tokens and over 12,000 hours of aligned speech, collected and validated by native-speaking African linguists through All Voices, data that cannot be scraped, bought, or copied by any lab on earth. So we stopped positioning All Lab as a mission-driven underdog and started positioning it as the owner of the one asset the AI giants cannot build for themselves. Inclusion isn't the charity. It's the infrastructure.
04 - The Approach
Diagnosis
We found the real position: not an African AI startup asking to be believed in, but the enterprise-grade owner of un-copyable data and peer-reviewed proof.
Architecture
We built the website and narrative system around that truth, leading with the moat and the benchmarks, reframing inclusion as infrastructure rather than cause.
Infrastructure
We run the always-on engine: social and digital presence that converts every research milestone, integration, and award into a steady drumbeat of proof.
05 - What We Built
  1. The digital home. A website that positions All Lab as enterprise language AI, not an NGO, leading with the data moat, live integrations, and research credibility, so the substance is the first thing a buyer feels.
  2. The positioning and narrative system. One clear story that holds four audiences at once, translating rigorous research into enterprise desirability, anchored in "built by Africans, to power global technology."
  3. Always-on marketing execution. We manage the social and digital presence end to end: turning arXiv papers, enterprise integrations like Phrase and Blackbird, awards, and expansions like 62 new languages on Common Crawl into a consistent, credible content engine.
06 - The Targets

30+

African languages in production

19B

Proprietary tokens, linguist-validated

12,628

Hours of aligned speech collected
METHODOLOGY
Every FifteenConsult engagement runs the same discipline: find the one true thing, build the system around it, then hand over the infrastructure to run it. Diagnosis → Architecture → Infrastructure.