From scaling our AI models, to using AI tools at work

At the heart of our business, we’ve got our core AI models and then the customer engagement platforms that sit on top of those models. We’re making the models themselves available to other organizations and innovators to plug into their own solutions because we understand that the technology has use cases far and beyond what we’re focusing on — for example, generating audio books or language learning. So we have the API that’s open to empower others, and then the SaaS platform.

Outside of that — and this one of several ways the relationship with Google for Startups was helpful — there’s our own relationship with other people’s AI tools when it comes to running a business. For example, how I use Gemini. I have a minimum of five Gems that I use regularly for different processes — like one I call ‘Mothusi’ (which means assistant in Setswana), which is basically my personal assistant. We also use coding assistants, which has sped things up and improved our code reviews.

AI is moving fast so we try to make upskilling our teams an ongoing thing. We have this thing called Speaky Wednesday where someone in the team will give a presentation or share something relevant to the business, such as new tools to keep on weaving AI into the fabric of how we work.

And what’s next? More languages. We’ve identified over 20 languages spoken across Sub-Saharan African by over half a billion people…. So watch this space.

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