Axiveri

Axiveri

AI RESEARCH

AI that learns our ways in Africa.

An open ecosystem of speech, language and vision models for African languages. Speech that carries emotion and expression, recognition that understands how people really talk, all free to build on.

Founded by Emmanuel Ariyo

8

open models

4

open datasets

2,500+

model and dataset downloads in the last 30 days

17

followers on Hugging Face

The models

Four families, each published openly with weights, cards and examples.

Speech recognition

NaijaVox

Speech recognition that understands Yoruba, Hausa, Igbo, Nigerian Pidgin and Nigerian accented English, including people switching between them mid-sentence. Version 2.0 is Whisper fine-tuned with LoRA and trained with noise so it holds up in real rooms.

Whisper LoRACode-switchingNoise robust5 languages

NaijaVox 2.0: 691 downloads this month, plus a live demo

Text to speech and voice cloning

WazobiaVoice

Multilingual text to speech and zero-shot voice cloning in one model, extended to handle writing it was never designed for, like Yoruba tone marks. Alongside it, Renpiper is a small, fast Nigerian Pidgin voice with an ONNX build for modest hardware.

Voice cloningTone marksPidginONNX

Pidgin speech dataset: 1,438 downloads this month

Language models

Africlaude

Open language models tuned for African context, with AfriclaudeBench to measure how well any model actually understands it.

7B parametersOpen weightsAfriclaudeBench

Africlaude-7B: 24 downloads this month

Image generation

AfriVision

A FLUX LoRA trained on AfriVision-30K, captioned images of African people, places and culture, so generated images look like the continent as it really is.

FLUX LoRAAfriVision-30KOpen dataset

AfriVision-30K: 81 downloads this month

Open datasets

The data behind the models, cleaned and shared so others do not start from zero.

How we build

Open by default

Weights, data and model cards are public on Hugging Face under open licences.

Made for how Africa speaks

Tone marks, accents, code-switching and real recording conditions are part of the training, not an afterthought.

Measured honestly

Every release is evaluated, word error rates for recognition and listening tests for voices, and the numbers are published.

Built in public

Contributors, partners and supporters are welcome to build alongside us.

Support Axiveri

African AI research needs support. Every contribution goes directly toward model training, compute, and open-source development.

Support

Send crypto directly to fund model training and compute. Click any address to copy.

BTCBitcoin
ETHERC20
BNBBEP20
USDTBEP20
USDTTRC20
TRXTron

Partner

Integrate Africlaude or NaijaVox into your product, dataset, or research.

  • · Fine-tuning partnerships
  • · Dataset contributions
  • · API access & integration
  • · Co-authoring research
Reach out

Fund / Invest

Serious investment or grant inquiries for Axiveri's research and model development.

  • · Compute grants
  • · Research grants
  • · Strategic investment
  • · Institutional partnerships
Send inquiry