Precise image annotation enables accurate AI object recognition for health-monitoring and robotics applications.
Advances in AI applications for disease studies and drug development depend on accurate tissue and cell image annotation.
Quality clinical image annotation enables highly accurate AI diagnostics and eases the burden on medical professionals.
The combination of AI and robotics impacts many industries, including healthcare where robotic automation is increasing accuracy and improving patient outcomes.
CloudFactory data analysts quickly learn to perform complex 2-D and 3-D medical image segmentation and annotation to your quality standards.
Our managed workforce gives you the flexibility to adjust annotation requirements early and then scale quickly as imaging volumes increase.
CloudFactory has safeguards in place to comply with HIPAA security requirements and protect sensitive personal and health information.
From proof of concept to production, tap our proven people, processes, and technology to ramp up to your full potential.
Our healthcare industry training and proficiency in labeling medical images ensures you get quality data, fast.
The team is very responsive and shows initiative to learn our labelling process. We have appreciated the personal growth of the team members and their ability to be flexible with all the changes we have thrown at them as we expand our company and develop innovative products.
Amy-Wong Thai
Cytotechnologist
Trust CloudFactory to deliver high-quality data. We have more than a decade of experience and a client NPS consistently in the 60–70+ range.
Our data analysts have annotated millions of complex medical images, reducing the learning curve for meeting your quality standards.
To bring scientific advances to patients faster, we segment and annotate complex cell imagery for AI cell identification.
Get insight into how to choose the right workforce to accurately and cost-effectively annotate your healthcare AI datasets.
As a HIPAA-compliant business associate, CloudFactory is committed to protecting sensitive personal and health data.
