FIELD DEMONSTRATION
No internet. No cloud.
Lubaale Lovisa, a farmer in Kayebwe, speaks to AI in Luganda on a low-cost Android phone in airplane mode.
Languages
Devices
Deployments
Facilities
Evaluations
Technology and deployment stack
We take advanced models beyond the laboratory and into the environments where they must actually work.
Frontier models
We adapt open model families for African languages, local domains and constrained operating environments.
Local adaptation
We build speech recognition, text-to-speech and multimodal interaction layers that connect people to digital systems in the languages they use.
Safety and evaluation
We test performance, cultural context, domain boundaries, harmful outputs and real-world failure modes before systems move into deployment.
Edge or cloud deployment
We engineer systems across the whole chain — climate intelligence, cloud and sovereign compute, edge nodes, and affordable phones running offline — rather than assuming permanent connectivity at any layer.
Institutional workflows
We embed AI into workflows, procurement, governance, training and evidence generation so pilots can become durable capability.
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Built where the work happens.
Government, enterprise, research and implementation partners can work with Crane on language adaptation, evaluation, edge deployment and institutional integration.
