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Making the whole gut visible, without the tube.

CapSync pairs a swallowable smart capsule with AI diagnostics, so clinicians can find bleeding, inflammation and tumours earlier, and review a study in minutes instead of hours.

75%

of the GI tract's length is small bowel, the part conventional scopes struggle to reach

12h to 30m

our target for clinician review time per capsule study, with AI flagging what matters

NOK 24M

in funded capsule endoscopy research led or co-led by our founding team

Born in the lab, built for the clinic.

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CapSync grew out of years of research at NTNU in Norway, where our founder leads international programmes dedicated to making wireless capsule endoscopy clinic-ready. We saw that the missing piece wasn't a better camera alone. It was a capsule, an AI engine and a clinical workflow designed together from day one.

Today we're building that system, starting with regions where GI disease is common and access to specialist care is still growing.

World-class science meets proven commercial execution.

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Prof. Dr. Kiran Raja

Co-founder,
Science and Technology

Professor of Computer Science at NTNU with more than two decades in machine learning, medical imaging and biometrics. He leads CapsTrain and co-leads CapsNetwork, two government-funded programmes in capsule endoscopy, and powers CapSync's AI engine.

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Dipika Menon

Co-founder,
Business and Growth

Operator-turned-entrepreneur who has led commercial execution at Sequoia and YC-backed startups across AI and deeptech in India and the US, and has co-founded venture-backed companies before.

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Dr. Vikash Bundela

Clinical Advisor

A gastroenterologist trained at AIIMS New Delhi (MD) and PGIMER Chandigarh (DM Gastroenterology), with deep hands-on expertise in diagnostic and therapeutic endoscopy. He brings frontline clinical insight to CapSync.

One system, three parts.

Smart Capsule

A swallowable camera that images the GI tract over a 6 to 8 hour journey, with no sedation and no hospital recovery.

AI Diagnostics Engine

Models trained on GI data that detect bleeding, inflammation and polyps, and flag high-risk regions for the clinician.

Clinical Dashboard

Automated reports, EMR and PACS integration, and privacy-preserving cloud processing that fits existing hospital workflows.

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