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Cyprus-based MammoCheck Wins Top Honour At NBG Business Seeds Competition

by News Editor

Cyprus-based medical technology startup MammoCheck has won first place at the 16th NBG Business Seeds Innovation and Technology Competition, emerging as the overall winner from 344 entries submitted from Greece, Cyprus and other countries.

The annual competition, organised by the National Bank of Greece, announced the results during an awards ceremony in Athens. MammoCheck received the competition’s top distinction along with a €20,000 cash prize.

Founded in 2024 as a spin-out from Frederick University, MammoCheck is developing an artificial intelligence-powered Software as a Medical Device (SaMD) platform designed to support breast cancer screening. The solution combines a smartphone application with low-cost thermal cameras to provide an adjunctive screening tool powered by AI.

The company says its technology aims to address a significant gap in breast cancer screening, with hundreds of millions of women worldwide lacking regular access to mammography, including many women under the age of 45 who are not covered by most national screening programmes.

“We are honoured to receive first place among 344 entries from Greece, Cyprus and abroad. This recognition reflects the dedication of our team, our clinical partners and the women who inspire our work every day,”

said Alexandra Dimitriadou, co-founder and CEO of MammoCheck.

MammoCheck is currently conducting a clinical trial across multiple hospital sites as it advances toward FDA 510(k) clearance in the United States and CE marking under the European Union’s Medical Device Regulation (MDR).

The latest award marks another milestone for Cyprus’ growing health technology ecosystem, highlighting the increasing international visibility of locally developed medical innovations.

Mirendil Signs $100 Million Google Cloud Deal To Advance Self-Improving AI

by News Editor

AI startup Mirendil has signed a multi-year agreement worth more than $100 million with Google Cloud to secure computing infrastructure for its self-improving AI research.

The partnership reflects growing competition among AI companies to lock in access to high-performance computing, while cloud providers race to attract promising startups developing next-generation AI models.

Backing The Next Stage Of AI Research

Mirendil plans to use Google’s Tensor Processing Units (TPUs), Nvidia GPUs and managed training infrastructure to develop AI systems capable of improving their own performance over time.

Known as recursive self-improvement, the concept focuses on building AI that can refine its knowledge and capabilities with minimal human intervention. The technology is attracting growing interest across the industry, with several startups and leading AI labs exploring similar approaches.

According to co-founder and Chief Executive Behnam Neyshabur, the long-term goal is to develop AI that can automate scientific research and accelerate discoveries in fields such as medicine, biology and materials science.

Compute Capacity Becomes A Strategic Asset

Training increasingly advanced AI models requires enormous computing resources, making long-term infrastructure agreements a critical competitive advantage.

Mirendil said Google’s combination of TPUs and GPUs allows workloads to be matched with the most suitable hardware, improving efficiency while reducing costs for customers.

For Google Cloud, the agreement strengthens its position in the race to provide infrastructure for frontier AI developers, while giving the company exposure to one of the industry’s emerging approaches to next-generation artificial intelligence.

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