This morning, my mum woke me up and asked me to go pick a particular leaf.
She called it “Ẹ̀fọ́ Yánrìn.”
I was like… “Which leaf is that?” 😭
She had to show me.
Then she started telling me about the nutrients, health benefits, and different ways the leaf is traditionally used.
And I was just there thinking:
“Wait… THIS leaf??” 😭😂
That moment honestly got me thinking.
There is SO much indigenous knowledge sitting inside our parents and grandparents that we are slowly losing.
They know the names of leaves and plants in our local languages. They know which ones are vegetables, what they contain, how they're traditionally used, and the cultural knowledge surrounding them.
Meanwhile, some of us don't even recognize the plants growing around us.
And Ẹ̀fọ́ Yánrìn is just ONE example.
There are so many other leaves and plants we haven't even heard of.
Some we've probably walked past hundreds of times without knowing their names, nutritional value, cultural significance, or what our ancestors knew about them.
And that's the scary part.
If the people carrying this knowledge don't pass it down or document it, what happens when they're no longer here?
THE KNOWLEDGE DISAPPEARS WITH THEM.
And with it, we could lose knowledge about natural resources that have been part of our food, culture, environment, and traditional practices for generations.
That's why me and one of my guys are starting to work on a project around this.
We're starting with the DATASET before the MODEL.
The long-term idea is to build an AI system where you can simply snap a picture of a leaf and get information such as:
🌿 Local/cultural names — Yoruba, Igbo, Hausa, etc.
🔬 Botanical/scientific name
🧪 Known chemical compounds & nutritional composition
🍲 Food/culinary uses
🌍 Cultural significance & traditional uses
📚 Documented scientific research & evidence
⚠️ Safety information — including what is and isn't scientifically established
The goal isn't to replace traditional knowledge.
And we definitely don't want an AI model making random medical claims.
The goal is to DOCUMENT, ORGANIZE, PRESERVE, and make this knowledge accessible.
Because think about it…
We have plants growing all around us that our ancestors knew how to identify and use.
But we're becoming increasingly disconnected from them.
What happens 30, 50, or 100 years from now if nobody remembers these names anymore?
What if our children grow up surrounded by plants that their grandparents could identify instantly, but they have absolutely no idea what they are?
What if we lose knowledge about something potentially valuable simply because nobody documented it?
THIS IS WHY I THINK WE NEED TO START NOW. 🌿
We're starting in Nigeria, but the bigger vision is to eventually document indigenous plant knowledge across Africa.
And we're starting with the DATASET before the MODEL.
We're looking for:
🔬 Botanists
🌿 Ethnobotanists
🧑🏾🌾 Farmers
📚 Researchers
👵🏾 Traditional knowledge holders
💻 Developers
📊 Data scientists
📸 Photographers
🌍 Anyone passionate about preserving African indigenous knowledge
If you have knowledge about plants and leaves in your community, we'd love to hear from you.
If you're a researcher who can help us structure and validate the data, we'd love to collaborate.
If you're a developer, data scientist, botanist, photographer, or simply someone who believes this knowledge shouldn't disappear, let's work together.
This isn't just about building another AI model.
It's about preserving something we already have.
BEFORE WE FORGET IT.
Let's preserve what we still have. 🌍🌿
If you're interested in contributing or collaborating, reply to this post or DM me.
Most people think AI is about prompting.
It isn't.
The real competitive advantage is building systems.
• Collect quality data.
• Fine-tune models for your use case.
• Build reliable evaluation pipelines.
• Optimize inference for speed and cost.
• Deploy, monitor, and iterate continuously.
Models are becoming commodities.
Infrastructure, data, and execution are what create lasting value.
The next generation of AI companies won't win because they have the biggest model.
They'll win because they solve real problems better than everyone else.
#AI #MachineLearning #LLM #MLOps #ArtificialIntelligence #Tech
Just created the official LinkedIn company page for Axiveri 🚀
Axiveri is focused on building open-weight AI systems for African languages and real local use cases.
We’re already shipping:
• NaijaVox – multilingual ASR for Nigerian languages
• Africlaude – models tuned for African developers & fintech
• Open datasets for the community
The goal is simple: AI that actually understands us.
Follow the page for updates, model releases, and research.
Link in comments 👇
Building in public continues.
Nobody sees the 40+ debug cycles, the dependency patching hell, or the training runs Ememzyvisuals bounced between clouds because one kept dying on him.
Yoruba tone alone nearly made him shelve this whole release.
Shipped it anyway 🔥
WazobiaVoice is out 🔥
5 Nigerian languages, one model. 13 voice personas + full voice cloning from a 5s clip.
Quality:
• English, Igbo, Hausa: strong
• Pidgin: strong
• Yoruba: still lagging, VITS fix in progress
Nigeria's TTS just got real.
NaijaVox-2.0 is out 🔥
Whisper-large-v3 + LoRA (r=64) fine-tuned on 25k+ Nigerian samples with SpecAugment & noise.
Big improvements:
• Pidgin: 14.7% WER
• Yoruba: 22.3% WER
• Igbo: 30.5% WER
Nigeria’s ASR just got stronger.
https://t.co/4U3BPdHRVt
🎊🎊
The Builders Series was more than an event, it was a gathering of people passionate about growth, purpose, and building something meaningful.
Here are a few highlights from the day. Thank you for being part of the journey.✨
#BuildersSeries#BuildWithPurpose
NaijaVox-2.0 is out 🔥
Whisper-large-v3 + LoRA (r=64) fine-tuned on 25k+ Nigerian samples with SpecAugment & noise.
Big improvements:
• Pidgin: 14.7% WER
• Yoruba: 22.3% WER
• Igbo: 30.5% WER
Nigeria’s ASR just got stronger.
https://t.co/4U3BPdHRVt
🎊🎊
Meet our Community Partners for Builder Series Lagos!
We’re excited to have @Axiveri and @Africlaude join us as we bring together builders, innovators, and entrepreneurs for an unforgettable experience.
📍 Lagos, Nigeria
🗓 July 2026
Register with the Link in Bio!!
#Techevent
@boardyai A big magic school for super smart computers. Most schools only teach them American and European words. At Axiveri, we teach the computers to understand Pidgin and how real Nigerian people talk. So they can help kids learn and people do important things. That's what we build.
NaijaVox-V1 is here 🔥
Open-weight speech model fine-tuned for Nigerian languages:
• Pidgin: 16.8% WER (Strong!)
• Nigerian English, Yoruba, Hausa, Igbo support
Built to make voice AI actually work for Naija people.
Try it: https://t.co/V8pFbeKEtG
NaijaVox-V1 just dropped.
Our open speech model fine-tuned for Nigerian Pidgin, English, Yoruba, Hausa & Igbo.
Real voice AI for Naija people is finally moving.
See the full drop below 👇
NaijaVox-V1 is here 🔥
Open-weight speech model fine-tuned for Nigerian languages:
• Pidgin: 16.8% WER (Strong!)
• Nigerian English, Yoruba, Hausa, Igbo support
Built to make voice AI actually work for Naija people.
Try it: https://t.co/V8pFbeKEtG