The experience with V7 has been fantastic. Very customized level of support. You feel like they really care about your outcome and objectives.

The configurability and extensive API interface of V7 has enabled us to quickly create, customise, deploy and make changes to our labelling processes all through automated communications with our own backend tooling.

"We chose V7 because we wanted to build new types of workflows. We had our own system, but we wanted it to accomplish additional tasks, like create other annotation types, re-annotations, annotations on videos—activities that would be a lot of effort in development."

"We label terabytes of data per platform across thousands of platforms. From the operations perspective—unless we did drastic developments, the scale of the projects requires a tool like V7 to succeed"

"V7 is really easy to use and has great customer support—bugs are fixed, email support is very fast, and feature requests are delivered as promised."

"We use V7 for digital pathology image annotation - it streamlines the process so that we can get the data in the easy-to-parse format for ML purposes."

"We conducted an extensive research of annotation tools and ultimately chose V7 as it fits our needs best due to its customizable workflows, simple setup, consensus stages, and the ability to monitor annotator performance and project progress."

"The S3 integration for external storage was a must-have to protect the privileged clinical data. Based on our research, V7 was the only labeling platform that offered that along with browser access and DICOM functionality."

“Thanks to V7, the image annotation is 30% faster, and considering the whole process - transferring files and QA - we more than doubled the number of images we can label in the same span of time.”