AIATELLA Raises €2M Seed Funding For AI Cardiovascular Imaging

The funding round was led by Nordic Science Investments, with backing from Specialist VC, Harjavalta Ventures, Business Finland, and angel investors.

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Founded by biomedical engineer Jack Parker, AIATELLA is building AI tools to make vascular imaging faster and more scalable—aiming to prevent 100 million strokes globally.

Funds will be used for clinical trials, regulatory approvals, and to grow its team and technology, including a portable ultrasound screening device.

“When I was in medical education in the UK, my mentor told me that you can save thousands of lives in the operating room, but if you want to save millions, that happens in society,” said Jack Parker, CEO and Co-Founder of AIATELLA.

“Our technology helps medical professionals analyse imaging much more efficiently, and at an earlier stage, so patients can get help before it’s too late.”

Heart disease is still the world’s top killer, but experts say up to 80% of related deaths—like strokes and heart attacks—can be prevented with early diagnosis and treatment.

AIATELLA is addressing this gap with tech that speeds up the current slow, manual imaging process done by radiologists—something that strains already overburdened healthcare systems.

At the heart of their solution is Automated Image Measurement (AIM), an AI platform that quickly analyzes MRI, CT, and ultrasound scans to spot artery issues—like narrowing or blockages—in just minutes.

“AIATELLA’s solutions have the potential to streamline our workflow by automating measurements in cardiovascular imaging, saving clinicians significant time per scan,” said Anna Beattie, Consultant Cardiothoracic Radiologist and Radiology Research and AI Lead at Newcastle Hospitals NHS Foundation Trust. “The scalability of this technology means we can provide standardised expert-level measurements regardless of the degree of expertise of the reporter.”

About AIATELLA

AIATELLA aims to transform radiology by automating the slow, manual work of analyzing medical images. By making the process faster and more accurate, doctors can focus more on patients and provide better, personalized care to prevent diseases.