Sunbird African Language Technology (SALT)

Sunbird African Language Technology (SALT)

Uganda flag

Uganda

Education

Digital Inclusion & Language Technology

High replicability and adaptation

Implementing Organisation

Sunbird AI

Uganda, Uganda, Kampala

Philanthropic Organization

Implementing Point of Contact

Nimpamya Janat Namara

Communications and Engagement Lead

Contributor of the Impact Story

Carnegie India

Year of implementation

2025

Problem statement

Current Global AI systems have a systemic "language data gap" that effectively excludes millions of African language speakers from the global digital ecosystem. Because most foundational models are trained on dominant high-resource languages, a digital divide emerges that prevents equal access to critical information and life-saving resources. This linguistic barrier directly hinders the achievement of social development goals; it restricts access to quality educational materials, impedes healthcare equity, and limits access to legal justice for those who cannot communicate in English. Beyond public services, this exclusion prevents millions from participating in the digital economy, as essential commerce, financial services, and market information remain linguistically inaccessible. SALT (Sunbird African Language Technology) addresses this by building high-quality, open-source datasets and Natural Language Processing (NLP) tools specifically for African contexts. By making these languages digitally functional, we ensure that technological advancement fosters genuine inclusion - empowering underserved communities to access information, express their needs, and thrive in an increasingly connected world.

Submission Overview

Sunbird AI is a non-profit organization that builds open-source, practical AI systems to address social initiatives in Africa. We focus on the end-to-end development of AI tools, from localized data collection to the deployment of scalable applications. While we are widely recognized for our pioneering work in Language Technology—specifically creating high-quality datasets and translation models for underserved African languages to bridge the digital divide—our scope extends to a variety of data-driven sectors. Beyond NLP, we leverage AI for social impact in areas such as environmental monitoring and public policy, ensuring that the benefits of the fourth industrial revolution are accessible to marginalized communities.

AI Technology Used

Natural Language Processing
Speech Recognition

Key Outcomes

Efficiency & Productivity

Access & Reach

Inclusion & Equity

Accuracy & Quality Improvement

Knowledge & Skills Impact

Resource Efficiency

User Experience & Satisfaction

Sunbird AI has built open-source language technology infrastructure to bridge the digital divide for millions of underserved African language speakers by making AI systems accessible in their native languages. The SALT (Sunbird African Language Technology) platform has achieved significant scale with over 3,500 active users and 80,800 dataset downloads globally, demonstrating widespread adoption of locally-relevant AI tools. The infrastructure supports 31 African languages and has reduced local-language content production time by 33-66%, making information access and digital services economically viable for communities previously excluded from the digital economy. SALT's translation models and speech recognition tools have been downloaded over 2,400 times, enabling government agencies, NGOs, and businesses across East Africa to deliver critical services—from healthcare information to legal resources—in languages that communities actually speak, fostering genuine digital inclusion for populations historically marginalized by language barriers.

Impact Metrics

User adoption of SALT models, API, and web interface

Baseline Value

NA Number of Users

Post-Implementation

SALT AI solutions have more than 3,500 users Number of Users

Internal Monitoring·Oct 2020 - Dec 2025

Model downloads for Sunflower and SALT-Whisper models

Baseline Value

NA Number of downloads

Post-Implementation

Sunflower and SALT-Whisper models ore than 2,400 downloads Number of downloads

Internal Monitoring·Oct 2020 - Dec 2025

Global impact of the open-source SALT dataset

Baseline Value

NA Number of downloads

Post-Implementation

More than 80,800 downloads have been recorded Number of downloads

Internal Monitoring·Oct 2020 - Dec 2025

Time saved in local-language content production due to SALT

Baseline Value

NA Percent

Post-Implementation

A time reduction of 33 to 66 percent has been recorded Percent

Internal Monitoring·Oct 2020 - Dec 2025

Number of languages supported by the SALT Infrastructure

Baseline Value

NA Number

Post-Implementation

31 languages

Internal Monitoring·Oct 2025 - Dec 2025

Implementation Context

Scaled

Uganda, East Africa

Underserved speakers of indigenous languages (e.g., Luganda, Acholi, Ateso, Swahili), Government agencies, NGOs, and digital businesses that require local-language integration for service delivery

Key Partnerships

Ministry of ICT and National Guidance, Secretariat of Science, Technology and Innovation (STI), Uganda Bureau of Statistics (UBOS), National Information Technology Authority (NITA-U), SEMA, TRAC FM, Amara Hub, Cente Tech, Backup Uganda, Makerere AI Lab, and Infectious Diseases Institute (IDI)

Replicability & Adaptation

High

1. NLP/AI Engineers, Data Annotators, Native Language Linguists, and Community Engagement Leads 2. GPU Infrastructure, vLLM Inference Stack, Scalable Cloud Storage, API Gateway 3. Funding for localized data digitization and open-source infrastructure maintenance

* The data presented is self-reported by the respective organisations. Readers should consult the original sources for further details.