| --- |
| license: apache-2.0 |
| title: Axiveri |
| sdk: static |
| emoji: 🌍 |
| short_description: 'African AI Infrastructure — Building intelligent systems ' |
| --- |
| |
| <div align="center"> |
|
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| # AXIVERI |
| ### African AI Infrastructure |
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| *We build AI systems designed for the African context —* |
| *its infrastructure, its languages, its developer realities,* |
| *and its regulatory environment.* |
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| --- |
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| </div> |
|
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| ## The Problem |
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| Most AI models are trained on internet data dominated by Western contexts. |
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| They know what a dollar is. They do not know what kobo is. |
| They can write a Stripe integration. They cannot write a NIBSS NIP integration. |
| They understand GDPR. They have never heard of NDPR. |
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| 700,000 software developers in Nigeria alone. |
| A fintech sector processing billions of transactions annually. |
| Zero AI systems built specifically for them. |
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| This is not a gap we intend to complain about. |
| **It is a gap we are building to close.** |
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| --- |
|
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| ## What We Build |
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| Axiveri develops domain-specific AI model series for Africa — starting with language models and expanding into health, security, legal, and financial intelligence. |
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| Our first model series is **Africlaude**. |
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| Africlaude models are fine-tuned large language models trained on curated knowledge covering: |
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| - Nigerian fintech engineering (Paystack, Flutterwave, NIBSS, kobo/naira) |
| - CBN regulatory compliance and KYC frameworks |
| - AML, fraud detection, and transaction monitoring |
| - USSD architecture and Africa's Talking integration |
| - African language contexts — Pidgin English, Yoruba, Hausa, Igbo |
| - Security engineering for African infrastructure |
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| --- |
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| ## Africlaude — Coming Soon |
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| **Africlaude** is our flagship model series — a family of language models fine-tuned specifically for African developers, engineers, and professionals. |
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| **Africlaude 7B** is the first release. |
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| > Trained across 9 cycles on Tesla T4 GPU infrastructure. |
| > Evaluated on AfriclaudeBench v1.0 — a benchmark we designed |
| > specifically to measure AI competency in African fintech and developer domains. |
|
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| 📬 **Follow this organisation to be notified on release.** |
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| --- |
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| ## Our Approach |
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| We believe the next generation of AI for Africa will not come from importing models built elsewhere and hoping they work here. |
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| It will come from organisations embedded in the African context — who understand what it means to build for 2G networks, USSD sessions, agent banking, CBN regulatory frameworks, and a developer community growing faster than any on earth. |
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| We are building that infrastructure. |
| **Open. African. Rigorous.** |
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| --- |
|
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| ## Organisation Structure |
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| ``` |
| Axiveri |
| └── Africlaude (Model Series) |
| ├── Africlaude 7B — Language model for fintech & coding |
| ├── Africlaude 14B — In development |
| └── Africlaude-* — Domain-specific models (coming) |
| ``` |
|
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| ## Partnerships & Collaboration |
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| We are open to research collaborations, dataset partnerships, and integration agreements with: |
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| - African financial institutions and fintechs |
| - Healthcare providers and hospital networks |
| - Technology companies and developer platforms |
| - Academic institutions and research organisations |
| - Investors aligned with African technology infrastructure |
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| --- |
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| <div align="center"> |
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| **Founder:** Emmanuel Ariyo — Axiveri, Nigeria |
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|  |
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| (https://x.com/Africlaude) |
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| *Building the AI infrastructure Africa deserves.* |
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| </div> |
