Deadline: 27 June 2025
Are you a startup using open-source AI to solve real-world challenges in Nigeria, Kenya, Senegal, or South Africa? If yes, then this call is for you!
Through expert mentorship, technical training, and post-accelerator growth opportunities, the program is unlocking Africa’s next generation of AI innovation.
Focus Areas
- Focus areas vary by country but generally include sectors such as Healthcare, Agriculture, Education, Public Safety, and more. A Wild Card category is also available to accommodate exceptional ideas outside the listed sectors.
Benefits
- The winning teams from the Demo Day may be eligible for equity-free funding of up to $25,000 to support the development and deployment of their solutions.
- First prize: $25,000
- Second prize: $15,000
- Third prize: $10,000
- Access to workshops and hands-on technical training
- Mentorship from industry experts and AI leaders
- Continued post-program guidance and visibility
- Winners of the SSA Llama Impact Accelerator program will be invited to pitch for additional funding of up to $100,000 through the Africa, Middle East, and Turkey (AMET) Llama Summit, and are eligible to apply for the Global Llama Impact Grant and additional funding opportunities
Duration
- The Llama Impact Accelerator Program is an 8-month innovation and capacity-building initiative designed to support startups building impactful solutions using Llama to develop relevant solutions to pressing challenges in the program countries. The program includes a 6-week intensive accelerator and 6 months of post-program support.
Eligibility Criteria
- Startups based in Nigeria, Kenya, Senegal, or South Africa that are building impactful solutions using Llama that;
- Have a working prototype or MVP, including early-stage products that clearly demonstrate technical potential
- Are available to fully participate in the 6-week accelerator (including in-person sessions)
- Have a solution that is aligned with the country-specific focus areas
Selection Process
- Applications are reviewed based on the relevance of the proposed solution, technical feasibility, team capacity, alignment with program focus areas, and potential for impact.
For more information, visit Meta.