---
title: "Google Accelerator Africa Class 10 Selects 15 AI Startups"
description: "Google for Startups Accelerator Africa named 15 AI-focused startups for its 10th cohort, picked from nearly 2,600 applicants across the continent."
canonical_url: "https://liners.com/news/google-for-startups-accelerator-africa-class-10-15-ai-startups"
markdown_url: "https://liners.com/news/google-for-startups-accelerator-africa-class-10-15-ai-startups.md"
type: "article"
language: "en"
published_at: "2026-04-25T14:14:58.742Z"
updated_at: "2026-04-25T14:14:58.969Z"
---

# Google Accelerator Africa Class 10 Selects 15 AI Startups

Google for Startups Accelerator Africa named 15 AI-focused startups for its 10th cohort, picked from nearly 2,600 applicants across the continent.

## Breadcrumbs

- [News](/news)
- [Google Accelerator Africa Class 10 Selects 15 AI Startups](/news/google-for-startups-accelerator-africa-class-10-15-ai-startups)

## Content

## In Short
Google for Startups Accelerator Africa has selected 15 AI-driven startups across Africa for its 10th cohort, chosen from nearly 2,600 applicants.

## What Happened: Google for Startups Accelerator Africa Class 10
Google said the Google for Startups Accelerator Africa Class 10 will support 15 startups using AI.

AI, short for artificial intelligence, is software that learns patterns from data to help automate tasks like scoring risk, spotting disease signals, or predicting demand.

Google said the cohort includes companies working across fintech, agritech, and health tech.

One of the selected startups is [Regxta](/regxta).

Google also highlighted that four of the 15 startups are from Nigeria, Bani, MasteryHive AI, Regxta, and Termii.

The accelerator is a hybrid programme, meaning it mixes remote sessions with in-person activities.

## Why It Matters
Getting into Google for Startups Accelerator Africa can help early-stage teams ship faster.

The programme typically provides technical support, product strategy help, and access to Google’s network.

For AI startups, that hands-on guidance matters because models often fail in production.

“Production” is when software runs in the real world for paying users, not in a demo.

The cohort makeup is also a signal of where founders are applying AI right now.

Fintech use cases often include fraud detection and credit scoring, which is estimating how likely a borrower is to repay.

Agritech and health tech use cases often focus on decision support, which is software that helps a human make a better call, like when to treat a crop or refer a patient.

## Sources and products

- [Google](https://blog.google/intl/en-africa/company-news/meet-the-15-startups-joining-the-google-for-startups-accelerator-africa-class-10)
- [Regxta](/regxta)

## Related pages

- [Startups & Ecosystem](/news)

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