Vambo AI

Today we are releasing the Fikira Dataset by - a synthetic reasoning dataset for 10 African languages 🌍

Version 1.0. Open source. Built to be improved by the community.

አማርኛ (Amharic) • ChiShona • Hausa • Igbo • Ikinyarwanda • IsiXhosa • IsiZulu • Kiswahili • Tunisian Arabic • Yorùbá

400+ million speakers represented.

Why synthetic? Quality reasoning datasets for African languages are scarce. Human annotation by native speakers is expensive, time-intensive and difficult to scale across 10 languages.

We had a choice: wait years for perfect data or release something now that researchers can build with. We chose pragmatism.

This version 1.0 is a bootstrapping tool, not a gold standard. The dataset contains LLM-generated reasoning examples. We are transparent about its limitations: synthetic data may not capture authentic cultural reasoning patterns and carries potential biases from source models.

We are releasing this to give researchers something to build on immediately, establish a foundation the community can validate and improve and work toward version 2.0 with human validation and community contributions.

At Vambo AI, we exist to advance language inclusion in artificial intelligence. We believe progress requires both pragmatism and transparency.

Download it. Test it. Help us make it better.

🔗 huggingface.co/datasets/vamboai/fikira
📧 [email protected]

Built in South Africa 🇿🇦. For the world.

🌍 Africa’s AI Revolution Starts HERE! 🚀
Join us for Vambo AI Developer Day - July 12, 2025

Africa is not just consuming AI - we’re building it. 🔥
At , we are unleashing the power of Afrocentric Gen AI and YOU are invited to lead the charge.

💡 What’s waiting for you?
✨ Engage with our team on our open source series - cutting-edge, African-trained open-source language models
🤝 Real talk and real connections with top AI innovators from across the continent
🌍 Community-driven conversations around AI in education, fintech, health, governance and beyond

📅 Date: July 12, 2025
📍 Venue: Jenga Leo, West Park Towers, Nairobi
🎟️ LIMITED spots! Secure yours now → https://lu.ma/wzoffu9r

Let’s build the future in African languages, for African lives.
Don’t just watch the revolution—be the code behind it. 💪🏾



📌 PS: Check out our 🔥 event poster and share the vibe — tag your dev squad! 👇🏾

Partnership Announcement 🚨

We’ve teamed up with to build African-trained AI models that speak our languages and understand our world. 🌍🤝

This isn’t just a partnership - it’s a continental milestone.

From health to education, fintech to governance, we’re shaping AI for Africa, by Africa.
And this is only the beginning. 🚀

Our team represented by our CEO, , and our language lead, Sisipho, attended the P4G Summit in Vietnam 🇻🇳 to pitch, exhibit and showcase our multilingual tools to foster inclusion 🌏

🚀 Episode 8 Alert: Vambo AI in Africa Podcast 🎙️

Our CEO, sat down with Phiwa Nkambule — technology entrepreneur and founder of FinanceGPT Labs — to talk about building AI for financial inclusion, pioneering Large Quantitative Models ( ), and leading innovation from Southern Africa to the world.

🔥 Highlights from this podcast from Vambo AI | Multilingual Intelligence:
- Building AI in frontier markets
- Generative AI meets finance
- Data, inclusion, and the future of tech in Africa
- Real advice for aspiring AI entrepreneurs

💡 A powerful conversation with one of Africa’s boldest pioneers in tech.
📺 Watch now: https://youtu.be/lREZh-APrpw?si=iQU6rvv3GEvr1nOz

Next episode with Phiwa

🚨New Episode is live!
How is technology shaping the future of healthcare in Africa? 🌍💻

In Episode 7 of the Vambo AI in Africa podcast, Linah Kitala sits down with Mukiri Mwirigi, COO at Neural Labs Africa, to dive into:
✅AI & machine learning in diagnostic healthcare
✅ Technology & decentralization in healthtech
✅Challenges & opportunities in building for Africa
✅Advice for aspiring health-tech innovators

Don’t miss this powerful convo on tech for good in healthcare!
🎧Watch now on YouTube:https://youtu.be/rhKH3Dj2vzwhttps://youtu.be/dXlkTy7PZbw?feature=shared