About

Built from both sides
of healthcare.

Too many solutions are built far from the environments they are meant to support. We started xyva to help bridge that gap, bringing clinical understanding into strategy, design, implementation, and deployment from the beginning.

Our Story

From the operating theatre to clinical AI.

I trained in neurosurgery and worked across hospitals in the US, Europe and Scandinavia before moving into healthcare AI.

Working across both clinical environments and healthcare technology, I kept seeing the same pattern repeatedly: products with enormous technical potential struggling once they reached real-world healthcare settings.

Not because the technology itself was weak, but because healthcare is complex. Clinical workflows are fragile. Trust matters. Small amounts of friction become meaningful when systems are already overloaded.

Too often, technology is designed far from the realities it is meant to support.

xyva was built around bridging that gap by bringing clinical understanding into healthcare technology from the beginning, not as an afterthought.

Dr. V. Klungtvedt
Dr. V. Klungtvedt
Founder · MD, Neurosurgery

Clinical experience across US, European and Scandinavian health systems.

Selected Publications

Journal of Neuro-Oncology · 2025

Circulating levels of glutamate predict brain disease in patients with advanced lung and breast cancer: a prospective study

World Neurosurgery · 2025

Radiotherapy for WHO grade 1 and 2 Intracranial Meningiomas: A Retrospective Analysis of Efficacy

Neuro-Oncology · 2022

The impact of neutrophils-to-lymphocytes ratio on survival in patients affected by brain metastases and treated with Gamma Knife Radiosurgery

Neuro-Oncology · 2022

Glutamate excitotoxicity in brain metastases from lung, breast, and melanoma treated with stereotactic radiosurgery

How We Work

Two principles. Every engagement.

Patient outcomes first.

Every recommendation we make traces back to one question: does this actually help patients? Not in theory. In the ward, the clinic, the real world.

Grounded in both worlds.

The gap between clinical reality and AI development is wide. We've worked on both sides of it. That's not a credential, it's the whole point.

Have a complex challenge?
We should talk.

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