Unlocking economic impact through open source AI
Explore how open source AI is fueling innovation and growth
AI is revolutionizing the way industries operate and paving the way for economic growth with the potential to increase global GDP by $10 trillion. By making our Llama models open source, Meta is investing in the future, leveraging the full potential of AI as an accessible tool for economic empowerment and job creation. With Llama, anyone with an innovative idea can build a tool or start a company, unlocking a new wave of entrepreneurship and innovation.
Llama is being used to solve challenges across industries – hear how three leaders are making the most out of open source AI.
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Llama Impact Grants
Llama Impact Grants are Meta’s global program supporting open source AI projects advancing social and economic impact.
US
Solo Tech
Solo Tech (US) uses Llama to offer offline, multilingual AI support for underserved rural communities with limited internet access. This includes insights for farmers, medical assistance for doctors and learning solutions in schools. The grant will help them to equip 50 rural centers with AI tools while empowering local professionals and advancing the development of physical AI solutions.
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US
E.E.R.S.
E.E.R.S. (US) is a Llama-powered chatbot developed by entertwine, Inc. that helps people navigate public services. For the chatbot’s initial phase, entertwine has collaborated with the Medi Community Resource Center - a nonprofit that works to connect communities to healthcare and social services - to create a solution that can be easily integrated with government databases. The grant will help them scale and pursue those integrations.UK
Doses AI
Doses AI (UK) leverages Llama in building an autonomous pharmacy system that transforms traditional medication dispensing and pharmacy operations, while maintaining pharmacist final check for patient safety. With Llama’s advanced vision and text processing system, their technology can process prescriptions, automate stock ordering, guide robotic retrieval systems to match prescriptions and detect potential errors in real time. The grant will help them accelerate the development of their LLM-powered robotic dispensing system.ITALY
TaccLab Research Group
The University of Padova’s (Italy) TaccLab research group is using Llama to transform antibiotic discovery and generate new antibiotic molecules with the help of large datasets of chemical and biological sequences. The grant will help them make AI-assisted drug discovery and material innovation more efficient, enabling the validation of new chemical compounds while speeding up research timelines and reducing costs.TURKEY
Counterfake
Counterfake (Turkey) provides an online brand protection solution. They use Llama models in their pipelines to catch counterfeiters, helping brands protect their reputation from fraudulent online products, and consumers protect themselves from falling victim to ecommerce scams. The grant will help them develop an API solution for counterfeit detection.SUB-SAHARAN AFRICA
FoondaMate
FoondaMate Sub-Saharan Africa) is a multilingual study tool. Four million resource-limited students across Africa use the chat interface on WhatsApp and Facebook Messenger for exam prep and schoolwork help; in addition, it’s offered in 10 languages and over 30 countries. The grant will help them reach even more in-need students around the world with accessible, AI-guided learning.BRAZIL
Nova Escola
Nova Escola (Brazil) is a non-profit organization that equips public school educators across Brazil with digital tools and resources. Their AlfaTutor tool uses Llama to help teachers craft personalized lesson plans suited to the unique needs of each student and is accessible even in regions with limited internet connectivity. The grant will support the development and large-scale implementation of the solution.MEXICO
BluEye
BluEye (Mexico) is building, in partnership with LEX University, a mobile app to improve hurricane preparedness and response. Using real-time data and Llama, BluEye provides personalized information, early warnings, interactive maps and educational resources that allow users to make informed decisions before, during and after a weather event, even in areas with limited connectivity.The grant will help them improve their offerings and expand their geographic reach.NEW ZEALAND
The University of Auckland
The University of Auckland (New Zealand) uses Llama to create accessible, multilingual tools that aid novice programmers and drive digital literacy. Driven by AI code generation, students receive immediate, transparent, and actionable feedback as they develop skills in code understanding and prompt engineering. With the grant, the University will explore novel feedback mechanisms, support additional programming languages and improve multilingual support.INDIA
Nayana
Nayana (India) has been developed by Cognitive Lab, an India-based research lab with an open-source-first approach. This project is a Multimodal Language Model that integrates Llama to automate complex document and image processing across multiple languages. The grant will support CognitiveLab in expanding Nayana’s language coverage and advancing its overall capabilities to serve low-resource regions more effectively.Inaugural Llama Impact Grant Winners
The inaugural Llama Impact Grants program was announced in September 2024 and sought to identify and support organizations demonstrating the transformative potential of Llama in sectors such as healthcare, agriculture, and education. Award winners received $500,000 USD and one runner up received $300,000 USD to support their projects with Llama.
NORAM
Dana-Farber Cancer Institute
Dana-Farber Cancer Institute proposed a new open source AI platform to computationally match patients with cancer to clinical trials. They plan to use Llama to summarize and comprehend unstructured clinical notes and unstructured clinical trial eligibility criteria, enabling rapid identification of appropriate trial options for individual patients.
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APAC
Wadhwani AI
Wadhwani AI’s AI-enabled reading assessment is designed to enhance English fluency and comprehension skills in public schools in Gujarat, India. This module will utilize Llama to generate level-appropriate paragraphs for students, allowing them to focus on and gain mastery of words that they find challenging while creating content that’s culturally relevant, safe and aligned with curriculum standards
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EMEA
Digital Green
Digital Green’s Farmer Chat project aims to develop a multilingual AI chatbot that provides customized, on-demand agricultural advisory services to small-scale farmers in Sub-Saharan Africa. Llama will be fine-tuned on a vast repository of agricultural data to adapt the model to the specific needs and contexts of different regions. Llama’s conversational capabilities will then be used to provide comprehensive and practical responses in a variety of languages, including Hindi, Swahili and Kikuyu.
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EMEA
Jacaranda Health
Runner-up Jacaranda Health aims to expand its digital health tool called PROMPTS that uses SMS behavioral nudges and an AI-enabled clinical help desk to empower new and expecting mothers across Kenya, Ghana and Eswatini to seek and connect with the right care at the right time. The ultimate goal is to make PROMPTS the go-to resource for personalized maternal and newborn health support across Sub-Saharan Africa.
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Llama Impact Innovation Award winners
The Llama Impact Innovation Awards were launched to identify and support organizations based in Africa, the Middle East, Turkey, Asia Pacific, and Latin America that were already using Llama to address local issues related to education, public services, economic development, and more. Award winners received up to $35,000 USD, matched with in-kind ad credits, to support their work with Llama.
Winner spotlight
AiSee
AiSee is an affordable wearable assistive device that helps people with visual impairment “see” the objects around them. The Llama 405B model serves as the backbone of the system, providing accurate and comprehensive information, while the 8B model, optimized for mobile devices, handles user interactions and generates intermediate responses.
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Other Llama Impact Innovation Award winners
APAC
AIM Intelligence/Llama-suho
AIM Intelligence’s Llama-Suho project addresses AI safety and security challenges in the Korean context, focusing on culturally sensitive topics, nuanced societal issues and hate speech. It leverages and fine-tunes Llama with Korean-specific data to enhance AI safety measures for the Korean language and cultural contexts. The project aims to contribute to the global discourse on ethical AI deployment and set new standards for culturally aware AI safety measures.APAC
SACH
Factly Media and Research’s SACH (Search Application for Claims & Hoaxes) is an AI chatbot designed to combat misinformation and enhance online trust and safety. SACH provides instant fact-checking capabilities and contextual insights for web content, including images and text. SACH’s multilingual capabilities ensure users can access fact-checking resources in their preferred language. Llama’s conversational abilities let users engage in natural language dialogues, ask follow-up questions and explore topics in-depth.APAC
Netsafe
Netsafe used Dagster as a foundation to design a robust data pipeline Netsafe to help classify, redact and aggregate data in order to assist with harm remediation. Netsafe uses Llama to analyze reports of online harm, redact sensitive information from reports in order to protect user privacy, and automate tasks like data aggregation, summarization and categorization, freeing up staff to focus on high-priority cases.LATAM
aLex
Hiperderecho’s aLex (Augmented Legal Experience) uses Llama to democratize access to and understanding of the Peruvian legal system. The team automated 60,000 PDFs of judgments available on the Constitutional Court portal from 1996 to 2024 in order to render the text searchable. Llama was used to classify, index and make the text searchable for queries. Llama also creates summaries in both formal, legal language and informal synopses to help both those in legal professions as well as the public better understand the legal system.LATAM
NoHarm Summary Discharge
Instituto de Inteligência Artificial na Saúde’s NoHarm Summary Discharge project automates and enhances patient discharge summaries, improving accuracy, completeness and efficiency. By streamlining the discharge process, the project reduces administrative burdens on healthcare providers, minimizes errors, and ensures comprehensive post-hospital care instructions for patients. This contributes to better patient outcomes, reduced healthcare costs, and improved economic efficiency in the healthcare sector.EMEA
BiMediX2
Mohamed bin Zayed University of Artificial Intelligence’s BiMediX2 is a bilingual biomedical expert system that provides virtual medical advice and diagnostic support in both English and Arabic. Built with Llama, it can understand and respond to medical queries, including those related to medical images and enables verbal user interaction by integrating pre-trained speech-to-text and text-to-speech models like Meta's Seamless-M4T to their system.EMEA
HelpMum
HelpMum has developed an innovative chatbot service that delivers accurate and timely information on vaccination and immunization. Leveraging Llama’s advanced language processing capabilities, HelpMum created Vax-Llamamodel — an AI-driven, open-source model designed to provide reliable vaccination information. This open source model can be integrated into HelpMum’s chatbot service and adopted/used by healthcare organizations worldwide.EMEA
Twiga
Tanzania AI Community’s chatbot Twiga provides teachers with a virtual assistant for generating exams, lesson notes and course materials tailored to the Tanzanian curriculum via WhatsApp. Twiga uses Llama to generate contextualized educational content in order to address the shortage of quality resources and high workload of teachers in Tanzania. It uses Llama 3 70B in its RAG pipeline to generate high-quality educational exercises and Llama 3 7B for smaller tasks like efficient query pre-processing and data extraction.EMEA
phosoAI
Flow Informatics’ phosoAI project aims to address food insecurity in Malawi by enhancing a WhatsApp-based chatbot that provides real-time information on food prices, availability and agricultural practices to the public, particularly in rural and urban areas. The chatbot uses Llama to provide real-time information to users in Chichewa. It also allows for voice commands to improve accessibility in low-literacy areas.Building community around AI
Meta is creating opportunities for developers, startups, and AI leaders to come together, research, and build a community. Learn about our global programs and events, including hackathons, regional accelerators and training sessions.
Accelerating Open-Source Innovation Across Sub-Saharan Africa
Meta, in collaboration with national innovation agencies across Africa, has launched a Sub-Saharan Africa initiative to accelerate the development of impactful, open-source AI solutions through Llama. The program includes in-country AI accelerator tracks in Nigeria, Kenya, Senegal, and South Africa. Applications close June 27th, 2025.
Llama Impact Grants for startups and researchers
In partnership with Data Science Africa, Meta has opened applications for the Llama Impact Grant for startups and researchers based in Africa. This initiative will support innovative projects that harness the power of Llama to develop unique solutions in health, education, agriculture and more.
Vietnam Innovation Challenge 2025
A joint initiative between the Vietnam National Innovation Center and Meta, this annual challenge calls for innovative ideas and solutions to support Vietnam’s long-term digital transformation goal.Past programs
MENA
Llama Design Drive
Held across MENA, this competition is focused on leveraging Llama to develop projects for AI Agents that can address key social and economic development challenges across the region.
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UK
Llama Impact Hackathon
Hosted by Cerebral Valley in partnership with Meta, this hackathon invited developers in London, England to use Llama to provide innovative solutions to address critical challenges in healthcare, clean energy, and social mobility.
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INDIA
Llama Hackathon
Hosted by Reskill in partnership with Meta, this hackathon invited developers in Bengaluru, India to use Llama to address real-world challenges, such as healthcare, education, and access to public services.
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UNITED STATES
Llama Hackathon
Hosted by Reskill in partnership with Meta, this hackathon invited developers in Bengaluru, India to use Llama to address real-world challenges, such as healthcare, education, and access to public services.
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EUROPE
AI Startup Program
In partnership with Hugging Face, Meta invited start-ups using open-source models to this program, intended to to stimulate the European entrepreneurial ecosystem and shape the continent’s next wave of innovation.
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ASIA PACIFIC
APAC AI Accelerator
This inaugural accelerator program featured competitions in 13 markets — Japan, Korea, Indonesia, Thailand, Vietnam, Singapore, Sri Lanka, Pakistan, Taiwan, Australia, New Zealand, Nepal and Bangladesh – and invited developers to demonstrate the use of Llama to address local community challenges.
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SINGAPORE
Llama Incubator in Singapore
In partnership with Singaporean industry and government partners, Meta launched this program to help startups scale faster and enterprises be smarter by using responsible open source AI.
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LATAM
First Llama Hackathon in Latam
Hosted by CENTRO in partnership with Meta, this hackathon invited developers in Mexico City, Mexico to develop innovative prototypes with socio-economic impact across various areas such as education, entrepreneurship, environmental issues, health and public projects.
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UAE
2024 Llama Design Drive
In partnership with industry leaders, including Emirates Airlines, Dubai Holding, the Roads and Transport Authority, and Chalhoub Group, Meta invited 25 startups to leverage Llama to create 19 proof-of-concepts for corporate adoption.
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Transforming business with open source AI
Dive into these examples of how organizations are implementing Meta’s open source AI models and discover the real-world impact they are making.Zauron Labs
WriteSea
AT&T
Accenture
Fynopsis
STARTUP
Zauron Labs
Zauron Labs’s Guardian AI uses Llama to double-check radiological imaging exams and reports to find errors, minimizing delays in treatment and improving healthcare outcomes.
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