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AI-powered TB Screening Expansion Accelerates Africa Diagnostics Growth With Funding

AI-powered TB Screening Expansion Accelerates Africa Diagnostics Growth With Funding

Quick Reads
  • AI Diagnostics raised $5.2M to scale AI-powered TB screening across Africa and Asia.
  • Its Ostium digital stethoscope detects TB through lung sound analysis in real time.
  • The Steele Foundation for Hope led the round alongside iFSP Group and Global Innovation Fund.
  • The startup already holds SAHPRA approval and has screened over 1,000 patients in South Africa.
  • Clinical research is ongoing across 10+ countries in Africa and Asia.

AI-powered TB screening expansion is gaining momentum as South Africa’s AI Diagnostics secures $5.2 million to scale its affordable detection tools. The Cape Town-based startup is advancing early tuberculosis diagnosis by equipping frontline healthcare workers with AI-driven solutions designed for underserved and remote communities, strengthening efforts to combat one of Africa’s most persistent public health challenges.

Founded in 2020, the startup developed the Ostium digital stethoscope alongside its AI.TB model. Together, the tools enable early-stage TB detection without specialist equipment. Consequently, nurses and community health workers can now screen patients in remote areas.

The funding round was led by The Steele Foundation for Hope. Other participants include the iFSP Group, the Global Innovation Fund, and key early angel investors. Additionally, previous backers Africa Health Ventures and Savant contributed in earlier rounds.

The capital will support clinical research, continued AI model development, and operational scaling. AI Diagnostics plans to grow across Sub-Saharan Africa and emerging markets in Asia. Meanwhile, its AI-powered TB screening platform already holds regulatory approval from South Africa’s SAHPRA.

Joe Exner, CEO of The Steele Foundation for Hope, explained the investment rationale plainly. He noted that the team built novel hardware that delivers point-of-care accuracy previously unavailable in underserved communities. Furthermore, he emphasized that this puts real diagnostic capability into nurses’ hands, not just specialists.

According to CEO Braden van Breda, the AI model flags lung sound signals associated with TB in real time. This allows healthcare providers to immediately refer patients for diagnostic testing. As a result, early detection no longer depends on the availability of X-ray machines or specialist clinicians.

So far, AI Diagnostics has screened over 1,000 patients in South Africa. The company is also conducting clinical research across more than 10 countries in Africa and Asia. Notably, its expansion targets regions where healthcare infrastructure remains limited.

This raise also signals a broader trend. African tech startups raised $382 million in Q1 2026, up 35% compared to the same period last year. AI Diagnostics’ round therefore adds to a growing wave of capital flowing into African healthtech.

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