Key Resources for Building AI

In this comprehensive guide, we break apart the process of building AI-powered enterprise products - and outline the tips, tricks, and trends for successful AI.

Should you build or buy your training data operations software? In this free guide, we dive into build vs. buy dilemma and explore the pros and cons of each approach.

Easily compare multiple vendors with a set of free worksheets and gain clarity on which training data platform is the best choice for your team.

"We are leveraging V7’s model-assisted labeling in our workflows, which helps us decrease the cost per image labeled and cuts in half the time to delivery."

"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."

“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."

“V7 sped up our labeling 9–10x. The appeal of using V7 is that it’s commercial off-the-shelf, very intuitive, and easy to use for non-technical people involved in our project."

"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"

"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."

“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.”

"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 needed a tool that could do annotating and data versioning because we distribute our tools to farms, and we need to make sure that they have the same version of data for the same models."

"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."