Pricing PLANS

Pricing that works with you as you scale

Power-up your ML team with the fastest growing training data platform.

Yearly
Monthly
Education
$0
forever
Monthly usage
1,200 Annotation Hours
OR
120,000 Automated Annotations
50,000 files
Open Source Data
Free, forever:
Image & Video Annotation
AutoML Model Training
Unlimited Workers
Apply
V7 for Startups
Zero to Launch
| 1-10 employees
Monthly usage
2,500 Annotation Hours
OR
250,000 Automated Annotations
250,000 files
Private data
Everything in Education, plus:
60+ Second & 4K Video
Ultra-High Resolution Images
Email Technical Support
Free Trial
Business
Scaling Usage
Monthly usage
10,000 Annotation Hours
OR
1,000,000 Automated Annotations
3 Million files
Private data
Everything in Startup, plus:
Native Medical Imaging Support
Private AWS, GCP, Azure Integrations
Daily Data Backups
Dedicated Customer Success
Integration Engineering Support
Contact us
Pro
High Volume
Monthly usage
42,000+ Annotation Hours
OR
4.2M+ Automated Annotations
5 Million+ files
Private data
Everything in Team, plus:
SSO
Enforced 2FA
Security Reports
Contact us
Billing cycle
Yearly
Monthly
Education
$0
forever
Apply
V7 for Startups
Zero to AI
/year
Companies <10 Employees
Request a Demo
Business
Automated Pipelines
Request a Demo
Pro
Production Scale
Request a Demo
Data Ownership
Open source
Private data
Private data
Private data
Features
Image & Video Annotation
Unlimited Labelers
AutoML Model Training
Email Technical Support
60+ Second & 4K Video
Ultra-High Resolution Images
Integrate any Model
Native Medical Imaging Support (DICOM)
Private AWS, GCP, Azure Integrations
Daily Data Backups
Dedicated Customer Success Manager
Integration Engineering Support
Private Data Center Storage
SSO
Enforced 2FA
Security Reports
Data Managed
Annotation Hours
OR
Automated Annotations
1,200 hours
OR
120,000 tasks
2,500 hours
OR
250,000 tasks
10,000 hours
OR
1,000,000 tasks
42,000+ hours
OR
4.2M+ tasks
Files Managed
50,000 files
250,000 files
3 Million files
5M+ files
V7 was chosen as a data engine by
Paige AI
Simens Healthineers
Bayer
Insitro
Tractable
GE Healthcare
Cytiva
Paige AI
Simens Healthineers
Bayer
Insitro

Hear it from our customers

"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. "

"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."

"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."

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.

“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.”

"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."

"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."

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.

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

"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."

"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."

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.

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

"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."

Platform comparison

Compare V7 with regular labeling tools

Save months on development

Build VS Buy

How switching to a dedicated platform can double your ML team's output

Talk to Sales
Average internally built solution
$12,000+ in cloud fees
$300k+ in development costs
$120k in maintenance
No dedicated support team
No MLOps integrations
No integrated outsourcing system
Critical dependency on 2-3 employees who built the tool’s codebase
Using V7
99.9% Uptime
5 new features per month
20min average for tech support
50+ upcoming features on our roadmap
Labelers available in a few clicks
Customer Success for Labeling
Built in Elixir for ultra-scalable performance
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Gain control of your training data
15,000+ ML engineers can’t be wrong