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AI infrastructure that works where the cloud does not

Crane AI Labs turns advanced AI into locally usable, institutionally deployable systems across languages, devices, compute environments and public services.

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.

Kayebwe, Uganda · Luganda · Airplane mode
Languages
Devices
Deployments
Facilities
Evaluations

Healthcare

Offline clinical decision support for frontline care environments.

Frontline health worker using clinical guidance in Luweero District

Education

Foundational literacy and numeracy tools for teachers and children in their own languages.

Primary school education and teacher materials in Uganda

Agriculture

Weather-informed, voice-first advisory for farmers and agents, on 2G or offline.

Financial Services & SMEs

Local-language voice and workflow infrastructure for SACCOs, lenders and small businesses.

Local-language financial workflows and small business records

Public Services

Language adaptation, evaluation and sovereign deployment for institutions at national scale.

Public service institutional AI deployment

Technology and deployment stack

We take advanced models beyond the laboratory and into the environments where they must actually work.

Built locally. Connected across countries.

Crane works through deployments, research, technical collaboration and institutional pathways shaped by the languages, infrastructure and priorities of each country.

South Korea

Research

In discussion with Korean institutions on research collaboration.

UAE

Model adaptation

MBZUAI interviewed us for a case study on our K2 Horizon work.

United States & Canada

Research & funding

Research funding from the Gates Foundation. We are a member of NVIDIA Inception, and our models build on Google’s open Gemma family. We also do research in Cohere Labs’ open-science community, where our Afri-Aya dataset won the Expedition Aya Gold Award.

Europe

Research connections

We train models on Italy’s Leonardo supercomputer at CINECA. Italy’s MIMIT named us the African anchor of the Italy–India–Kenya trilateral, and our Ugandan benchmark, UCCB, is in the UK AI Security Institute’s Inspect Evals.

India

Research collaboration

We adapt India’s VoicERA voice stack for African languages with EkStep Foundation and COSS. We spoke at the India AI Impact Summit, where 100 AI Diffusion Pathways launched with Crane as a founding partner, and two of our use cases are on MeitY’s Global AI Impact Commons.

Zambia

Deployment

In discussions with Zambian partners to deploy on-device AI in Nyanja.

Rwanda

Deployment

In discussions with Rwandan partners on deployment and pilot collaborations in Kinyarwanda voice and farm advice.

Ethiopia

Deployment

Farm advice in Amharic on Telegram for Hello Tractor’s farmers, drawing on crop calendars and weather forecasts.

Kenya

Deployment

Swahili weather updates for farmers by SMS over 2G, with Hello Tractor, and a Swahili voice pilot with MsingiAI.

Uganda

Deployment

EaseHealth, our offline clinical decision support, is deployed with frontline health workers in Luweero District.

Featured field evidence

Explore how Crane AI Labs partners with governments, enterprises and research organizations to solve complex AI challenges.

Deployed
EaseHealth
View Case Study
Prototype
K2-Shamba
View Case Study
Closed Beta
Crane Voice Studio
View Case Study

Built where the work happens.

Government, enterprise, research and implementation partners can work with Crane on language adaptation, evaluation, edge deployment and institutional integration.