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Ubuntu Model Studio
Fine-tune, evaluate and deploy models on African language and market data without leaving your own cloud.
Researchers. Engineers. Linguists. Builders.
Applied AI, built in Africa,for the next billion people
An African engineering company with a passion for solving problems that actually matter.
AllowAIAfrica
0.1About
Founded in 2019 to close the distance between African data and African decisions.
We are an independent, self-funded engineering company working across 18 markets. Our teams sit inside banks, telcos, ministries and agritech operators — building models on the data they already hold, in the languages their customers actually speak.
- Independent
- Self-funded since day one
- Local
- Teams in 6 African cities
- Applied
- Shipped, not published
Our mission
Make world-class artificial intelligence ordinary infrastructure on this continent — owned locally, governed locally, and useful on day one.
Our Solutions
Four ways to put machine learningto work in an African market
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Data and Infrastructure
Ingestion, lineage and governance built for institutions that cannot move data off-shore. Everything runs in-region, with consent and audit trails attached to every record.
Programs
Software alone does not move a continent. Alongside the platform we run three long-horizon programs that put ownership in local hands.
Capacity is the product.We build people too.
Talent Fellowship
A twelve-month paid residency for engineers and researchers, embedded on live client deployments from week three. Graduates stay in-market.
Startup Studio
We co-build with founders solving unglamorous problems — logistics routing, clinic triage, smallholder credit — providing models, infrastructure and first customers.
Public Sector AI
Advisory and delivery for ministries and regulators: procurement standards, model assurance and systems that survive a change of government.
Impact
The numbers we areheld accountable to
Reported annually and audited by an independent third party.
- Markets with active deployments
- 0Markets with active deployments
- Engineers trained through our programs
- 0+Engineers trained through our programs
- Production uptime across managed models
- 0%Production uptime across managed models
- Median cost reduction after year one
- 0%Median cost reduction after year one
- African cities with permanent teams
- 0African cities with permanent teams
- Languages supported in speech and text
- 0Languages supported in speech and text
Company
About our companyand leadership team
Founded in 2019. Self-funded. Working with Fortune Global 500 operators and national institutions across 18 African markets — with every model trained, hosted and governed in-region.
Chair & Co-Founder
Amara Okonkwo
Twenty years in telecoms infrastructure across West Africa.
CEO & Co-Founder
Dr. Thabo Mensah
Machine learning researcher; previously led applied ML at a pan-African bank.
Partners
We build enterprise AIfor African institutions
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Allow AI Africa rebuilt our fraud stack on data we already held. False positives fell by a third in the first quarter, and every model runs inside our own region — which is what finally got it past our regulator.
- Sahara Bank
- Kilimanjaro Telecom
- Zambezi Energy
- Atlas Logistics
- Baobab Health
- Nile Agritech
Case Studies
Success stories:applied AI in African markets
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FAQs
We are an African applied-AI engineering company. We build and operate machine learning systems for institutions on the continent — banks, telcos, utilities, agritech operators and government — with all data and models kept in-region.
Ready to put AI to workin your market?
- Phone
- +254 20 000 0000
- hello@allowai.africa
- Offices
- Nairobi, KenyaLagos, Nigeria
AllowAIAfrica
Applied AI, built in Africa, for the next billion people.
Offices
- Nairobi, Kenya
- Lagos, Nigeria
Contact
© 2026 Allow AI Africa. All rights reserved.
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