Annotate 
Curate
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Train
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Evaluate
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Deploy Best in-class labeling tools to create high-quality training data, in any computer vision modality across image, video, medical imagery, or geospatial data.
Best-in-class toolset, accelerated by state-of-the-art models for pixel-accurate labeling.
The most complex datasets in your browser, with no conversion or compromises. Enhanced with AI-assisted annotation tools.
Dedicated suites for:
Annotate hours-long videos without cutting into images, with best object tracking models.
Comprehensive scenes from LiDAR or RADAR sensors with photo and video context.
Detection 
Segmentation 
Tracking 
KeypointsBuilt-in Smart Tools based on SAM2, ClickSEG, and others to create perfect labels in one click.
Easily integrate your models with SDK or interactive AppEngine.
Annotate thousands of images or videos in seconds using built-in cutting-edge models.
Unify multiple teams and organize both local and cloud data for AI with advanced search and visualization.
Explore data management
Any Data SourcesConnect local or remote cloud storages like AWS, GCS and Azure, with no data duplication.
Secure Access with RolesUse OpenID, LDAP and MFA together with built-in access roles, teams and monitoring.
Popular and Custom FormatsHuge collection of popular import formats and migration tools — easy to add custom.
Use natural language and apply advanced filter, visualize and inspect data with tools such as embeddings plots.
Get deep insights with heatmaps, class co-occurrence and balances to identify issues with your datasets.
Complete infrastructure to train state-of-the-art neural networks, evaluate model performance, find issues in training data and deploy production ready AI.
Explore model solutions
Training InfrastructureTrain state of the art or custom models on your datasets in a few clicks.
Test & Improve your ModelsTools to experiment, manage and compare model versions with easy metrics.
Active Learning WorkflowsPerform human-in-the-loop to improve models iteratively with out-of-the-box framework.
Get automated model performance reports and compare different checkpoints to get the best results.
Accelerate the annotation process with pre-trained or custom fine-tuned models in Supervisely.
Supervisely Enterprise Edition (EE) is designed for companies aiming to scale their AI infrastructure, offering both cloud and self-hosted deployment options.
Enterprise EditionOur team of computer vision experts will address your current challenges while planning for scalable solutions down the line.
Hosted on your servers or in a cloud, including container systems like Kubernetes or AWS EKS.
Use LDAP, Microsoft Active Directory and OAuth2 SSO providers, as well as built-in roles.
Work with existing data on AWS S3, Google Cloud or Azure: no need to re-upload data again.
Use our powerful API, SDK, and AppEngine to integrate Supervisely into your workflow and create custom interfaces.
A very high product quality BMW Group uses Supervisely to annotate manufacturing images from production lines in their world-wide plants for enhancing quality inspections using deep learning. Supervisely is integrated into the BMW Group AI Platform in order to empower computer vision based AI use cases.
Immensely grateful for their pivotal role in our work Working with Supervisely has significantly enhanced our capability to develop AI models for lung CT scans. What sets Supervisely apart is its exceptional support team who are really responsive and adapt to our unique needs with a range of apps and helper files.
Supervisely excels at that and much more We've been exceedingly impressed with the customer support, addition of new features, and the flexibility of the publicly available SDK/API. The Supervisely team has also been fast to respond to support questions, and has shown a lot of openness when given feedback on potential improvements.
Helps us to do data scientist work better and faster We use Supervisely since 2019. The key advantage of this tool is that Supervisely provides a complete data treatment pipeline. An important advantage is that a Supervisely instance can be deployed autonomously on a Client infrastructure, and distributed on different servers.
Extremely satisfied with Supervisely and would highly recommend it The review tools have been invaluable in ensuring the quality and accuracy. The Python SDK has also been incredibly helpful in automating and streamlining our workflow. The support team on Slack has been extremely helpful and responsive. Overall, we have been extremely satisfied with Supervisely and would highly recommend it to anyone in need of a reliable and efficient annotation solution.
Very satisfied with the platform and the incredibly responsive team We’ve been working together with Supervisely since 2020, and we have helped each other to grow rapidly and significantly. Supervisely’s team has been incredibly fast and agile in taking on board our requirements and implementing useful, up-to-date computer vision functionalities. In addition, we appreciate the openness and scalability of their ecosystem combined with the Python SDK and API. So far, we have been very satisfied with the platform and the incredibly responsive team.
Supervisely excels at that and much more We've been exceedingly impressed with the customer support, addition of new features, and the flexibility of the publicly available SDK/API. The Supervisely team has also been fast to respond to support questions, and has shown a lot of openness when given feedback on potential improvements.
Speak with people who are on the same page with you. An actual data scientist will:
Get accurate training data on scale with expert annotators, ML-assisted tools, dedicated project manager and the leading labeling platform.
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