The AI Data Engine to

Solve any labeling task 10x faster for computer vision and generative AI.

Suchet Bargoti
Suchet Bargoti
CTO of Abyss Solutions
We label terabytes of data and from the operations perspective, the scale of the projects requires a reliable training data platform like V7 to succeed.
Read case study ->
Maleeha Nawaz
Maleeha Nawaz
Manager of Quality and Data Curation
After conducting an extensive research of annotation tools, we chose V7 as it fits our needs best due to its customizable workflows and automated QA.
Read case study ->
Raman Muthuswamy
Raman Muthuswamy
Director, Translational Research at Genmab
We use V7 to make our annotation and model training workflows more efficient. It's much easier to use than other software thanks to its intuitive UI.
Read case study ->

Label Faster with Generative AI

Fuel the speed and accuracy of your annotations with our enhanced AutoAnnotate feature. Rapid, precise, and built to scale.

Pixel-Perfect Labels in One Click

Create high-speed polygon masks that won’t compromise on quality. Fuel your labeling with our powerful Autolabel feature, enhanced object recognition, and adaptive learning.

Explore the Annotation Suite ->

All the Annotation Types Your Team Will Need

Easily annotate all Video, Image, and Text data. Choose from a variety of tools, such as polygons, brush, or bounding boxes. Solve any CV task from image classification to instance segmentation to object tracking and more.

Explore the Annotation Suite ->
Annotation types available on V7

Monitor Labeler and Model Performance

Track the time spent, see how many annotations are created per minute, check the total number of labeled images, monitor accuracy, and more. No matter if you have 10 or 1,000 labelers.

Explore the Annotation Suite ->
Performance analytics on V7

Collaborate in Real-Time

Annotate images in collaboration with other users and add multiple labels to a single video or image simultaneously. Communicate in real time to make sure your labels are accurate and all team members know what the ground truth looks like.

Explore the Annotation Suite ->

Gather Training Data in One Place

Help your machine learning team keep track of their most valuable assets. Ensure your team understands your labels and edge cases.

CLI and SDK for AI Training on V7

The CLI & SDK for AI Training Data

Perform actions on your assets via a CLI/SDK rather than through the UI. Create, manage, export, and import your datasets conveniently with a single command.

Explore Model Management ->
Data formats list available on V7

The CLI & SDK for AI Training Data

Upload your video data or ultra-high resolution images—browse and annotate them using one platform. V7 supports JPG, PNG, TIF, MP4, MOV, SVS, DICOM, NIfTI and more.

Explore Dataset Management ->
Version control option on V7

Version Control Datasets

Stay on top of your annotation versions. Reference each model to a dataset version as your datasets keep growing.

Explore Dataset Management ->
Search and filter features on V7

Visualize, Sort, and Filter Your Data

Instantly preview all images and videos thanks to a highly efficient Elixir architecture. Filter by upload time, labeler, tag, class, or progress.

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Build a Library of Models

Whether you’re bringing your own, or using our pre-trained models, add models to your data workflows to surface edge cases and automatically label data.

Combine Models, Humans, and Data in Bespoke Workflows

Quick, flexible, and fully customizable: whether you’re annotating manually or using models, build an efficient assembly line for your training data.

Explore Model Management ->
Workflow building on V7

Train Label-Assistant Models with AutoML

Turn your images or datasets into models on V7. At a click of a button.

Explore Model Management ->
Training models with AutoML on V7

Register Any External Model to Use within Your Pipelines

If you have a repository of your own models, you can easily upload them to the V7 platform’s storage and keep them in order.

Explore Model Management ->
Running models on V7

All Your Team’s Models in One Place, Ready to Use

Keep all your company models in one place. Deploy them for model-assisted labeling tasks or use them to train new AutoML models.

Explore Model Management ->

Leverage Humans in the Loop

Say goodbye to spreadsheets, data leaks and quality control issues. We allow you to automate your workflows while ensuring the right task is assigned to the right person.

Annotators list with a Hire more labelers button at the bottom on V7

Professional On-Demand Labelers Are a Few Clicks Away

We give you access to over 5000+ expert labelers, who know the platform inside and out. Better yet, they care about the precision, pace, and performance of your project just as much as you do.

Bring Humans into the Loop ->
Expect review on V7 platform

Domain Expert Annotators That Excel in Your Domain

Medical, scientific, agricultural, construction, or autonomous driving projects? You name it! We collaborate with experts from a variety of industries to ensure data accuracy and reliability.

Bring Humans into the Loop ->
Security standards on V7

Leading Security Standards

Working on sensitive data? V7 lets you assign tasks to specific labelers and make them only see the task at hand. Our platform is SOC2, HIPAA, and ISO27001 compliant.

Bring Humans into the Loop ->
Slack conversation of annotation projects team members

Fully Managed Projects

Cooperate with a dedicated V7 project manager. Design the most effective and efficient workflows and set your quality standards. The manager will see to it that all deliverables match your expectations.

Bring Humans into the Loop ->
the data engine

Manage Your AI Data in a Single MLOps Platform

Integrations

Connect to Anything

Send tasks to other ML-Ops platforms, host data privately in your enterprise cloud storage, and load datasets into your deep learning framework of choice. Unleash the potential of your project with a thriving ecosystem at your disposal.

AWS
Snowflake
Google Cloud Platform
Azure Blob Storage
REST
Keras
Pytorch
Webhook
HTTPS
Weights & Biases
TensorFlow
API

Built by ML Engineers, for ML Engineers

Discover how other AI-first companies solved knowledge tasks at scale with V7

Tools for every stack
Leverage the REST API, integrate with the Python library, or quickly apply mass actions via CLI
Prebuilt integrations
Load datasets into Pytorch, connect your cloud storage, and integrate MLOps tools
Data
Quality
Settings
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Industry-Specific Tools

Industries Building AI through V7

Find out whether your industry's image formats can be used to automate tasks through V7.

Gain Control of Your Training Data
15,000+ ML engineers can’t be wrong