Enabling medical research and AI through high quality data labelling
David Golan
Co-Founder, Viz.ai
Viz derived great value from Labelata's work. It allowed us to jumpstart a project much faster than we would have otherwise and probably shaved 1-2 months off our delivery timeline which is significant. Not only was the speed and quality of the segmentations impressive, we particularly liked the ease of communication with the Labelata team.
Ender Konukoglu
Professor of Biomedical Image Computing at ETH-Zurich
To advance cutting-edge research in the field of medical image analysis, very specific data sets are required that demand significant expertise to generate. Labelata was able to provide this service and delivered datasets curated to our needs. The proactive and flexible mindset of Labelata facilitated the process greatly. In our collaboration, we were very happy with the results both in terms of how fast they were produced and their quality
Jonas Widmer
Head of Spine Biomechanics, Balgrist University Hospital & CTO at Moving Spine AG
The quality of Labelata's segmentations has been very good and its team has been excellent at adapting to different patient pathologies and image qualities. In particular, the streamlined process and timely execution of Labelata's 24 hour segmentation service gives me confidence to integrate Labelata into clinical applications and help scale up and commercialise our research
Benjamin Odry
​
Chief AI Officer,
Covera Health
Labelata's Musculoskeletal experts very clearly understood our labelling needs and we were able to use their expertise for the benefit of our projects.