Are you a startup using Llama to build bold, transformative solutions for Nigeria?
Apply now to the Llama Impact Accelerator Program, focused on advancing impactful AI innovation in:
Agriculture (Livestock Innovation)
Security & Safety (Smart Cities, Environmental Safety, etc.)
Healthcare (Biogenetics, Diagnostics, Health Access)
Wild Card (for standout solutions beyond the core focus areas)
This accelerator offers 6 weeks of hands-on training, mentorship, and development support, led by experts. The program culminates in a Demo Day, where selected startups will pitch for a chance to receive up to $25,000 in equity-free funding.
After Demo Day, participants receive 6 months of tailored post-program support to help grow their solutions and gain access to other potential funding opportunities from Meta.
Eligible Criteria
Startups that are building scalable AI-powered solutions that address real-world challenges in the focus areas of each country. Applicants must be based in the country they are applying to.
Startups from these African can apply:
The program is currently open to participants from Nigeria, Kenya, South Africa, and Senegal. Each country has its own thematic focus areas aligned with local development priorities.
What are the focus areas of the program?
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 of Llama Impact Accelerator
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
Startups founders will also receive:
– Expert mentorship
– Technical training on Llama
– Exposure to policy stakeholders and potential partners
– Opportunities to showcase at Demo Day event
Deadline for application: 27th of June, 2025
Where to Apply: Join Llama Impact Accelerator
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