Google Accelerator Africa Class 10 has selected 15 AI-first startups, including Senegal’s Maad, for a three-month hybrid program focused on scale and funding.
Google Accelerator Africa Class 10 has selected 15 African AI-focused startups for a three-month hybrid accelerator. The cohort includes startups from Nigeria, Kenya, South Africa, Angola, Uganda, Senegal, and Côte d’Ivoire.
Google Accelerator Africa Class 10 is a three-month program for seed to Series A startups building AI-first products. AI-first means the core product uses artificial intelligence, which is software that learns patterns from data, to make decisions or automate work.
Google said the program has supported 106 startups from 17 African countries since 2018. For Class 10, it received nearly 2,600 applications.
The selected startups will get mentorship, technical workshops, and resources focused on AI and cloud technologies. Cloud technologies are rented computing and storage over the internet, like leasing servers instead of buying them.
The cohort includes four startups from Nigeria, Bani, MasteryHive AI, Regxta, and Termii. Kenya has four startups, Coamana, Duck, ReportsAI, and VunaPay. South Africa has two, Looptaxi and Vambo.
Other selected startups include ANDA Africa (Angola), Emaishapay (Uganda), Maad (Senegal), and Meditect (Côte d’Ivoire).
For founders, the Google Accelerator Africa program can shorten the path to stronger product engineering, especially around deploying AI responsibly and reliably. It also gives teams structured access to mentors who have scaled similar systems.
For investors and operators, the cohort is a useful signal of where AI adoption is concentrating. This class spans fintech infrastructure, mobility, agri-focused payments, and business software, which are sectors already seeing demand for automation, risk checks, and faster reporting.
For startups like Maad, participation can help with execution ahead of follow-on funding. It also adds credibility when selling to larger enterprises that often want proof of technical readiness and strong support networks.
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