Switching from Playment? Try V7

"V7 did everything that we wanted—it enabled us to label videos in the way we needed, the turnaround time for new features was really fast, and the reviewing and sorting process was much better."

David Bell

CEO & Co-Founder of Remedy Robotics

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

Ryan Watson

Segmentation Manager at Intelligent Ultrasound

What I appreciate the most about V7 is flexible UI and API, responsive support, and active development of new features and bug fixes.

Benno Weber

Data Engineer at Swarm Analytics

"We needed a tool that lets us keep the data in one place, annotate, and version it. Having found V7, we decided not to build the internal solution. "

Mo Khodadadi

Founder & CEO of Satis AI

Managing our data from one place is particularly important for us. Previously, our data was stored in many different formats and in different places. Having a single source makes our data more robust and also greatly reduces the development time for new algorithms, as the learning curve for developers is small.

Francesca Donadoni

Data Scientist at CattleEye

"Annotation systems are playing catch up trying to project where research and cutting-edge development would be and how to make it configurable. Luckily, solutions like V7 came up, which are maturing in the industry, helping companies like ours to scale up and stay ahead with our R&D"

Suchet Bargoti

CTO, Abyss Solutions

"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 met our needs."

Raymond Tunstill

PhD Researcher, CTO of FruitCast

"The API is very straightforward to use, so we can easily get data into our local computer system. Annotations are formatted in JSON, which is easier to parse. V7 also offers a lot of pre-trained networks that we can utilize."

David Soong

Director, Translational Data Science at Genmab

"V7 is really easy to use. It looks good and feels good. The other great thing is the customer support - bugs are fixed, email support is very fast, and feature requests are delivered as promised."

Ryan McMillan

Lead Data Engineer at CattleEye

"I like the auto-segmentation feature. To me, that’s a nice AI feature that V7 took beyond the gimmick feature - it’s mature enough to be useful."

Suchet Bargoti

CTO, Abyss Solutions

"We use V7 to make our workflow for deep learning training and annotation streamlined and efficient. From the pathologist’s point of view, V7 turned out to be much easier to learn and use than other software - I can easily understand what I’m doing."

Raman Muthuswamy

Director, Translational Research at Genmab

"Visibility on metrics and annotators' work in V7 is very helpful to us, and it's something we didn’t have in our internal solution. The option to check past annotations and review the work is also valuable, along with V7’s ability to interactively define the workflows and the flexibility in task assignment."

Andrew Achkar

Technical Director at Miovison

"From the operations perspective—unless we did drastic developments, the scale of the projects requires something like V7 to be functional to make projects happen."

Suchet Bargoti

CTO, Abyss Solutions

V7 is super sleek, intuitive, and easy to use. Within a couple of minutes, you're off to the races and can annotate quickly. The team is highly responsive and helpful.

Simon Rufer

Graduate Research Assistant at MIT

V7 is helping us manage a complicated, intricate, pixel-perfect labeling exercise. Their model-assisted labeling is the best around.

Nathan Schuett

CEO & Co-Founder at PRENAV

Having accurately annotated datasets was crucial to catch the typical features of malignant melanoma. V7 lets us visualize the balance of this data across populations.

Rafael Garcia

Professor