New
Voice-First Agentic AI for African Dialects
Build speech models and voice agents in African languages and dialects. Deploy on the tools people already use, from apps to contact centres to offline systems.
Built for the languages and infrastructure the global stack ignores.
We built a voice AI stack for the African linguistic and infrastructure reality: low-resource languages, code-switching as default, bandwidth constraints, and populations who access voice services through feature phones, and not just smartphones.
Code-switching native
Our models are trained on naturally mixed speech, English-Pidgin, Yoruba-English, the way people actually talk.
Infrastructure ready
Cloud API, on-premise, or feature-phone-accessible. Works where cloud-only platforms fail.
Agentic by design
Not just transcription. Build voice agents that listen, reason, and respond in the caller’s language.
One platform for African voices.
With products built for how we speak.
Our products runs on our core ASR and TTS stack. Use them directly, or build your own on our API.
VoiceMaker
VoiceMaker turns text into natural speech in Yoruba, Igbo, Hausa, and Pidgin, and transcribes multilingual audio with code-switching support. Built on our in-house speech models, optimised for the dialects and accents global providers miss
- Transcribe multilingual audio with code-switching support
- Generate voiceovers in 5+ Nigerian dialects
- Clone voices with consent-based workflows
- Analyse call recordings for QA and compliance
VoiceAgents
Voice-first AI agents that handle customer calls in African languages. Built for telcos, banks, and high-volume support.
- Natural conversation in local dialects
- Handoff to human agents when needed
- Integrates with your existing contact centre stack
VoiceMiner
Voice-first business intelligence for African traders. Tell VoiceMiner what you sold; it handles the receipts, stock, and debts.
Natural language recording of all transactions
- Built for retail, market trading, and everyday services
- Query your business data using plain speech
VoiceBridge
Collect voice data from populations who don’t use smartphones. An IVR-based system that lets users contribute speech over feature phones, no internet required. The rail that makes our other products possible, and available to researchers and NGOs building their own African language datasets.
- Dedicated phone numbers per project
- Works on major mobile networks across Africa
- Structured data output, ready for ML pipelines
- Built for researchers, NGOs, and public sector surveys
The EqualyzAI Ecosystem
Our integrated ecosystem advances Africa’s voice AI capabilities across three core verticals: Data, Models, and Products — creating a seamless pipeline from collection to deployment.
Ethical Pan-African Dataset Collection
At the heart of our work lies a commitment to ethical, respectful, and community-driven data practices.
Community-Led & Consent-Driven
Partner with local everyday speakers and cultural custodians, ensuring informed consent every step of the way.
Fair Benefit Sharing
Privacy & Anonymization
Authentic & Inclusive Representation
Power your AI and research with Equalyz Crowd – Africa’s most inclusive and hyperlocal data collection platform
Nuanced Small Language Models, Tailored for Peak Precision
Compact and Efficient
Affordable and Scalable
Adaptable for Specific Domains
Agentic AI solutions that solve everyday problems for Africa’s indigenous language speakers
Recognitions
Global Top Outstanding AI Project 2025
Our AI-powered learning assistant, uLearn, was selected as an Outstanding Project in the IRCAI Global Top 100 AI Innovations of 2025. uLearn helps to expand access to interactive STEM education through multilingual and voice-enabled learning for students in communities across Nigeria.
Global Grand Challenge in 2023 funded by the Gates Foundation
For our work in AI for education delivery, leveraging video diffusion and LLMs to generate curriculum-based and nuanced STEM learning videos for rural students, which are personalized based on learners’ context, spoken language, and learning progress.
Featured by MIT Tech Review for Advancing African AI
Recognised by MIT Technology Review for pioneering efforts in creating synthetic datasets that represent African fashion and culture. At a time when most AI systems are trained on Western data, our work addresses this imbalance—ensuring African communities are visible in the global AI landscape.
They Trust Us
Ethical Pan-African Dataset Collection
View Our Datasets
Community-Led & Consent-Driven
Partner with local everyday speakers and cultural custodians, ensuring informed consent every step of the way.
Fair Benefit
Sharing
Privacy & Anonymization
Authentic & Inclusive Representation
Nuanced Small Language Models, Tailored for Peak Precision
View Our Models
Compact and Efficient
Affordable and Scalable
Adaptable for Specific Domains
Agentic AI solutions that solve everyday problems for Africa’s indigenous language speakers
View Our Products
Equalyzcrowd
Text. Audio. Image. Video. Whatever type of data you need, our Crowd platform allows for the collection and enrichment of your datasets for AI training. Engage a diverse range of contributors across any location and seamlessly manage your data needs.
uLearn
Our LLM-powered interactive learning platform allows users to generate personalized lesson notes, create flashcards, and watch learning videos in local dialects.
Nanoplanner
Finchat
LLM-enabled financial advisory and decision-making chatbot to provide financial information in local languages and ensure small business owners and low-income earners are in control of their financial wellbeing.
Recognitions
Global Grand Challenge in 2023 funded by the Gates Foundation
for our work in AI for education delivery, leveraging video diffusion and LLMs to generate curriculum-based and nuanced STEM learning videos for rural students, which are personalized based on learners’ context, spoken language, and learning progress.