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.

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.
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.

