Smart agriculture
Season forecasting, crop disease detection, irrigation optimization. Our models adapt to tropical climates and local crops.
AI for Africa · Local solutions
AI must be built here, for here — not imported.
Smart agriculture, assisted medical diagnosis, personalized education, inclusive fintech. We build AI solutions tailored to African realities, in French and local languages.
- ✓ Works offline
- ✓ French & local languages
- ✓ Maintained by African talent
Offlineon-device processing, deferred sync
MultilingualWolof, Bambara, Hausa, Swahili…
Lightweightbuilt for modest devices
Localco-built with field experts
Find your use case
Pick a sector — see what AI changes in practice, and how we deploy it.
- 01Crop disease detection
A single photo of the leaf is enough; the analysis runs on the phone.
- 02Season forecasting & irrigation
Models tuned to tropical climates and local crops.
- 03Yield optimization
Sensors and AI to decide what to plant, when, and how much to water.
An editorial selection of cases genuinely deployable across the continent — not a promise of measured results.
Where AI makes the difference
How AI addresses Africa's specific challenges
Concrete solutions, tailored to local infrastructure and needs.
Connected health
Assisted diagnosis, patient monitoring, telemedicine. AI helps offset the shortage of specialist doctors in rural areas.
Personalized education
AI tutors in French and local languages, automatic grading, adaptive learning paths. Quality education accessible to all, even without a permanent connection.
Inclusive fintech
Alternative credit scoring, fraud detection, conversational agents in local languages. AI opens access to financial services for the unbanked.
African language processing
Speech recognition and translation in Wolof, Bambara, Hausa, Swahili. Our models understand linguistic and cultural specifics.
Energy and infrastructure
Electricity demand forecasting, predictive grid maintenance, solar mini-grid optimization. AI makes infrastructure more resilient.
How we work
How AIAfrik builds solutions for Africa
- 1
Understanding the local context
We work with local experts to understand real needs, infrastructure constraints and cultural specifics.
- 2
Tailored development
Lightweight models that run on modest devices, tolerate intermittent connectivity, in French and local languages.
- 3
Deployment and training
We train local teams and provide ongoing support. Our solutions are built to be maintained by African talent.
Our principles
Sovereign, frugal, and useful AI.
Sovereignty
Intellectual property and execution stay African. Our tools are designed to be maintained locally.
Frugality
Lightweight models that run on modest devices and tolerate an intermittent connection.
Inclusion
French isn't enough: we integrate the languages people actually speak, written and spoken.
Co-building
Every project is built with field experts, NGOs, universities and the beneficiaries.
What you want to know
What you want to know about AI in Africa
Can AI work with a limited internet connection?
Yes, our models are designed to work offline or with reduced bandwidth. Data is processed locally on the device, and synchronization happens when a connection is available.
How do you ensure AI respects African cultures?
We work with anthropologists and local experts. Our models are trained on African data and tested by local users before deployment.
What are the costs for an African SME?
We offer models adapted to local budgets, starting from €1,000 for a basic solution. Funding and partnerships are available for high social-impact projects.
How do you train local talent in AI?
We run a free training program for African developers. Our solutions are open-source and documented in French and English. We hire locally.
Feasibility simulator
Which AI deployment fits your project?
4 questions to get a personalized recommendation: deployment type, estimated complexity, key challenges and a concrete first step.
Model comparator
Which open-source model for your project?
About twenty lightweight models genuinely usable on modest devices (< 2 GB RAM), filterable by task, RAM, language and sector. Natural complement to the feasibility simulator: it tells you which deployment type, this tool answers 'which specific model to use'.
Task
Available RAM
Language
Sector
20 models match
| Model | Task | Size | Min RAM | Supported languages | Typical use case | |
|---|---|---|---|---|---|---|
| Whisper tiny | 🎤 Voice | 39 MB | 512 MB | 99 langues / 99 languages | Offline speech transcription: meetings, field notes, dictation | View → |
| Whisper base | 🎤 Voice | 74 MB | 512 MB | 99 langues / 99 languages | Higher accuracy, multi-speaker, varied accents | View → |
| MMS-TTS (Meta) | 🎤 Voice | 100 MB | 512 MB | Hausa, Yoruba, Swahili, Amharic… | Text-to-speech in African languages without internet | View → |
| AfriBERTa | 📝 Text | 110 MB | 512 MB | Yoruba, Hausa, Amharic, Shona, Igbo… | Text classification and sentiment analysis in African languages | View → |
| MasakhaNER | 📝 Text | 110 MB | 512 MB | Amharic, Hausa, Igbo, Yoruba, Swahili… | Named entity extraction: places, people, organizations | View → |
| YOLOv5 nano | 👁 Vision | 4 MB | 512 MB | — | Real-time object detection on modest devices | View → |
| MobileNetV3 | 👁 Vision | 5 MB | 512 MB | — | Lightweight image classification, visual diagnosis | View → |
| PlantDisease CNN | 👁 Vision | 50 MB | 512 MB | — | Crop disease diagnosis from photos, works offline | View → |
| EfficientDet-Lite0 | 👁 Vision | 4 MB | 512 MB | — | Ultra-light detection, Edge AI on entry-level devices | View → |
| ResNet-50 | 👁 Vision | 98 MB | 512 MB | — | General-purpose visual classification: crops, pathologies, infrastructure | View → |
| Qwen2-0.5B | 📝 Text | 390 MB | 512 MB | ZH + EN | Text generation, lightweight QA, mobile reasoning | View → |
| SunbirdAI ASR | 🎤 Voice | 200 MB | 512 MB | Luganda, Swahili, Kinyarwanda | Speech recognition for East Africa | View → |
| TinyLlama-1.1B | 📝 Text | 637 MB | 1 GB | EN (partiel multilangue) | Conversational agent, summarization, instruction following | View → |
| SmolLM2-360M | 📝 Text | 720 MB | 1 GB | EN | Text summarization, classification, lightweight on-device assistant | View → |
| Phi-1.5 (Q4_K_M) | 📝 Text | 832 MB | 1 GB | EN | Advanced reasoning, coding, on-device QA | View → |
| mGPT | 📝 Text | 800 MB | 1 GB | 61 langues (FR, AR, langues slaves…) | Multilingual text generation including French | View → |
| AfroXLMR-base | 📝 Text | 900 MB | 1.5 GB | 17 langues africaines | African NLP: classification, QA, information extraction | View → |
| BLOOM-560M | 📝 Text | 1100 MB | 1.5 GB | FR + EN + 46 langues | Generation in French and African languages (Wolof, Bambara…) | View → |
| NLLB-200-distilled-600M | 📝 Text | 1200 MB | 1.5 GB | 200 langues dont 50+ africaines | Translation to/from Fulani, Bambara, Lingala, Dioula… | View → |
| Gemma-2B (Q4_K_M) | 📝 Text | 1340 MB | 2 GB | EN (multilingue partiel) | Advanced comprehension, long summarization, on-device AI agents | View → |
Whisper tiny🎤 Voice
Offline speech transcription: meetings, field notes, dictation
99 langues / 99 languages
View →MMS-TTS (Meta)🎤 Voice
Text-to-speech in African languages without internet
Hausa, Yoruba, Swahili, Amharic…
View →AfriBERTa📝 Text
Text classification and sentiment analysis in African languages
Yoruba, Hausa, Amharic, Shona, Igbo…
View →MasakhaNER📝 Text
Named entity extraction: places, people, organizations
Amharic, Hausa, Igbo, Yoruba, Swahili…
View →TinyLlama-1.1B📝 Text
Conversational agent, summarization, instruction following
EN (partiel multilangue)
View →AfroXLMR-base📝 Text
African NLP: classification, QA, information extraction
17 langues africaines
View →BLOOM-560M📝 Text
Generation in French and African languages (Wolof, Bambara…)
FR + EN + 46 langues
View →NLLB-200-distilled-600M📝 Text
Translation to/from Fulani, Bambara, Lingala, Dioula…
200 langues dont 50+ africaines
View →Gemma-2B (Q4_K_M)📝 Text
Advanced comprehension, long summarization, on-device AI agents
EN (multilingue partiel)
View →Sizes are for quantized variants (GGUF Q4 / int8) — always verify on the official model page. All work offline.
Contact
Let's build African AI together
Have a project? Want to learn more? Get in touch with our team.
Response within 48h · Free quote