Elly Savatia was sitting in a cinema watching Avatar when the idea came to him. On screen, actors in sensor-studded suits were having their every movement translated in real time into digital characters. The thought that struck him had nothing to do with science fiction. It was about sign language — and a market nobody was properly serving.
That insight became Signvrse, a Nairobi-based tech company developing AI-powered sign language translation tools, and one of the more quietly compelling startups to emerge from Kenya’s growing technology sector.
The product sits at the intersection of motion capture and machine learning. Inside their Nairobi studio, deaf interpreters sign into a rig of OptiTrack cameras while the system records not just broad gestures but the subtle facial expressions that carry so much of sign language’s meaning. That data trains an AI model capable of generating realistic Kenyan Sign Language animations from text — without requiring a human interpreter each time. The commercial proposition is a scalable, licensable catalogue that broadcasters, app developers, healthcare providers, and public institutions can plug directly into their existing platforms.
The timing is significant. Across East Africa, disability inclusion is increasingly on the corporate agenda — not merely as a social obligation, but as a business case. Kenya Airways is already in discussions to integrate Signvrse’s technology into its passenger experience, beginning with real-time in-flight safety briefings.
Linda Okolo, the airline’s Diversity and Disability Inclusion Champion, frames it in unambiguous terms: “Inclusivity is not only a social imperative, it’s an economic one. There’s money on the table that we’ve been leaving by leaving persons with disabilities.”
For Signvrse, the opportunity is considerable. Existing sign language tools — typically relying on stilted, cartoonish avatars — have seen low uptake from the deaf community precisely because they fail to replicate the natural flow of human signing. A more faithful, AI-generated alternative, built specifically around Kenyan Sign Language, would be the first of its kind in the region.
The business case, in other words, is as strong as the social one. And in Kenya’s tech ecosystem, that combination tends to attract attention.