Meet VULAVULA
Resource-efficient by design, Vulavula powers transcription, translation, and language analysis across markets with limited compute and connectivity, making AI accessible where it’s needed most.
Our Products
VULAVULA SYnc
Process calls immediately after they end, enabling fast feedback loops without disrupting workflow.
VULAVULA LIVE
Transcribe conversations in real time as they happen, perfect for instant QA, compliance, and escalation monitoring.
VULAVULA API
The Vulavula API allows seamless integration into your businesses applications.
FEATURES
VULAVULA Transcribe
Transform local language audio into text seamlessly.
VULAVULA Translate
Accurately perform text-to-text translations between local African languages
What is Vulavula?
If you’re familiar with the concept of NLP, Vulavula is a ‘natural-language-processor-as-a-service’.
If you’re unfamiliar with the tech lingo, think of Vulavula as your business’ multi-lingual best friend. It does transcriptions (converting voice to text) for easy skimming through. It also translates the text (converting one African language into another) so you can quickly understand in your own language.
Vulavula is fast, accurate, and currently available for English, Afrikaans, isiZulu and Sesotho, with South Africa’s other official languages and a bunch of Sub-Saharan languages to come.
Who would find Vulavula useful?
Quite frankly, any business doing business in – or with – Africa.
Let’s say you have a customer service chatbot. Vulavula lets your 1.2 billion customers who don’t speak English or French at home chat to the bot in their home language, expressing themselves (and what they need from you) clearly and easily.
You can also send them your response in their home language – giving you A+ for customer service. Ditto with quotes, call centre transcriptions, focus groups, customer surveys, and other situations where your business needs to communicate with customers and vice versa.
How does Vulavula work technically?
In our founder’s own words: ‘Data quality is at the core of what we do, but we also leverage model refining techniques like ensemble, transfer, and active learning to bolster model performance. We do heavy error analysis and human-in-the-loop evaluations.’