Egypt Healthtech Rology Secures New Funding to Scale AI Teleradiology Across MEA

The funding accelerates Rology’s expansion of AI-enabled teleradiology across MEA, enhancing diagnostic capacity through faster case distribution, automated triage and remote reporting for high-volume CT, X-ray and MRI workloads.

Egypt-based healthtech company Rology has secured new growth funding to expand its AI-driven teleradiology platform across the Middle East and Africa, strengthening digital diagnostic capacity in regions facing radiologist shortages and high imaging workloads.

The company, which provides an on-demand teleradiology marketplace supported by AI-assisted workflow automation, is scaling operations to reduce turnaround times for CT, X-ray and MRI reporting in hospitals and diagnostic centers.

Rology’s leadership highlighted that the investment supports the expansion of its smart case-distribution engine and AI-enabled reporting tools that match imaging studies to radiologists based on expertise, availability and urgency.

Amr Guira, Co-founder and CEO, Rology, noted, “This round enables us to accelerate access to high-quality radiology reporting by expanding our AI-supported marketplace to more hospitals and imaging centers across MEA.”

The company’s platform integrates automated triage, productivity analytics, quality-assurance scoring and workflow optimization to help clinicians manage rising imaging volumes. Rology also supports facilities operating without full-time radiologists, offering remote reporting with embedded AI decision support.

Investors participating in the new funding round emphasized that Rology’s hybrid model of AI-enabled workflows and human expertise strengthens diagnostic resilience across emerging markets.

The company is expanding partnerships with hospitals, digital health networks and imaging providers in Saudi Arabia, Kenya, the UAE and North Africa.

The funding further supports Rology’s roadmap to enhance AI modules for prioritization, report structuring and quality validation, enabling faster diagnostic throughput in resource-limited settings.

Stay tuned for more such updates on Digital Health News