Built where the work happens.
01
OUR MISSION
To make advanced AI locally usable, institutionally deployable and governable across Africa and the Global South.
02
OUR BELIEF
The next era of AI will not be defined only by who builds the largest models. It will also be defined by who can adapt, evaluate and operate them responsibly in the environments where most people live and work.
03
OUR ORIGIN
Crane was founded by Ugandan engineers and built from deployment environments outward.
The future we are
Each statement links to something Crane has actually built, tested or published.
Language does not determine access to advanced intelligence
Ganda-Gemma · Swahili-Gemma · Bridge · Crane Nemo ASR
Reliable broadband is not a prerequisite for AI
EaseHealth in Luweero · Kayetbwe demonstration
Institutions control where systems run and where data goes
African teams adapt and operate frontier models
Custom tokenisers · Open model releases · Capacity building in deployments · Luganda processed on CINECA
Field knowledge from Africa improves global AI research
UK AI Safety Institute Inspect Evals · WildJailbreak Africa · Afri-Aya · PCK and ELL benchmarks · Luganda Medical Speech Corpus
Every deployment leaves behind local technical and institutional capacity
Training and capacity transfer in the deployment process
LEADERSHIP
Our team
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Bakunga Bronson
Co-Founder & CTO
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Caleb Lwanga
AI Engineer
Catherine Tukamushaba
Programme Manager & Product Lead
Gimei Alex
Machine Learning Engineer
Glory Sibomana
Senior AI Researcher
JohnRoy Nangeso
Senior Software Engineer
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Kato Steven Mubiru
Co-Founder & CEO
Lamerck Kavuma
Senior Data & Operations Lead
Roland Ganafa
In-Country Operations Lead
Technical Leadership
Crane's technical work is organised by domain, under the CTO.
Health Systems
Bakunga Bronson
Voice and Speech
Caleb Lwanga
Data and Evaluation
Lamerck Kavuma
Field and Product
Catherine Tukamushaba
Partners, Programmes & Recognition
Work with us
Start a conversation
Tell us about your project and we'll connect you with the right team.
Review criteria
We review deployment and partnership requests based on problem fit, product maturity, evidence requirements and operating environment.
Do not submit patient data, confidential records or sensitive personal information through this form.
Trust, Safety & Governance
Crane works in domains where model capability is only one part of trust.
On Device
Low-connectivity or privacy-sensitive workflows within the device's compute and power limits.
Edge Computing
Facility or local-network deployment requiring shared compute and local control.
Cloud Infrastructure
Scalable services where connectivity, jurisdiction and data controls permit.
Sovereign Deployments
Institution-controlled infrastructure with defined residency, access and governance.
Hybrid Operations
Local continuity with cloud or sovereign services for selected workloads.
Discovery and context assessment
→
language and model evaluation
→
deployment architecture
→
safety and institutional review
→
pilot
→
evidence and iteration
→
scale, licensing and support.
Technical architecture note
Security overview
Product fact sheet
Procurement/RFP information
Partner briefing
Investor overview
Data & Jurisdiction
Guaranteed sovereignty, on-premise cloud infrastructure, and localized data boundary custody.
Model Evaluation
Rigorous stress-testing of outputs with domain and cultural context benchmarks.
Human Oversight
AI assists and accelerates, but decision authority always resides with qualified local professionals.
