
Capillary.io
Nailfold capillaroscopy improved with AI
After a successful MVP beta testing of a year and a complete redesign, we were finally able to launch a product with open registration, that anyone can try for free and subscribe to paid plans.
See blog post about the launch: https://capillary.io/posts/capillary-release/
A group of users began to test an MVP version of Capillary.io, ready to use with main features, but missing a good design and with some UX problems to be fixed.
Continued working on missing features such as automated reporting and trying new algorithms for capillary measurement.
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I talked to my cofounder Borja and we decided to start the project, first we would create an proof of concept to see if it was possible to achieve good results finding capillaries in images automatically with AI.
Borja had the original idea and knowledge about nailfold capillaroscopy, and I had the technical skills to make it possible.
Learn about our story at: https://capillary.io/about/
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About
We want to make capillaroscopy more objective, efficient and well used. Our AI powered platform enables doctors to collaborate and save time.

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