A fully customizable AI infrastructure, deployed on cloud or your servers with everything you love about Supervisely, plus advanced security, control, and support.
Supervisely Enterprise Edition (EE) is built for companies that want to scale their AI infrastructure with Supervisely, available in both cloud and self-hosted installation.
Get total control of your data with advanced security features for more protection, governance and information privacy.
Supervisely EE is self-hosted, has no trackers, doesn’t need internet connection and can work inside your private network.
We use best tools and conventions, including encryption, system logging, data uploading verification and more.
Make sure only approved people have access to your data in Supervisely by setting up team roles and SSO.
Built with Docker, Supervisely deploys well in existing container systems like Kubernetes, or can be installed and updated with included
You might already have datasets in your cloud, users in your AD or models in your repository — it’s very easy to integrate all this with Supervisely and utilize it from day one.
Use LDAP, Microsoft Active Directory and Oauth2 SSO providers for improved security.
Work with existing data on AWS S3, Google Cloud or Azure — no need to re-upload data again.
Integrate Supervisely with your existing codebase or even build entire applications inside our UI.
We create a dedicated Slack workspace with an account manager that assists throughout the onboarding, installation and during the whole 30-days or more free trial. Schedule personalized training sessions with our experts and get Supervisely tailored specially for your use case.
We have the top specialists to understand your use case and suggest the best solution.
Try us in action with our expert guide — and if you will need more time, we will extend it.
If you will find that some features are missing it’s not a problem — we will help to customize it with Apps.
We're not talking about random features we have, and they don't — those things are temporary. Let's talk about key differences, what makes us conceptually better.
Built as OS for computer vision, Supervisely runs on Apps that're easily created or tailored to fit your needs. Custom labeling UIs, integrated neural networks or import and export in your internal format are just some examples of what can be done by our or your developers.
New functionality is added via Supervisely Apps — self-contained GUI extensions (server + frontend) that integrate existing solutions from GitHub (like neural networks) or extend the platform with task-tailored features, like custom labeling UIs. Apps can co-operate with other Apps, thus, a new App makes every other App on the platform more useful.
With Supervisely you don't have to choose between a general, well-tested set of tools to solve a common task like labeling and a custom tailored solution that you, and no one else has. Our team is not only committed to getting the job done, but also has the right tools for that.
Usually, it's just as it is. The best case scenario, existing functionality covers your today needs, but think, what happen, if new challenges will arise in front of you, outside of the software scope? Will they adapt it for you? Can you contribute in development?
Generally you get the software in its final form. Every new feature should go though the whole discussion, development and provisioning pipeline before you can get your hands on it, if that's an option at all. If you are very lucky, maybe, there are some kind of plugins, limited in possible functions by the software API — you won't build a custom video tagging toolbox on it.
A hard-coded product can offer you a great solution for 90% of your tasks. But what happen with the other 10%? Often, you need to hire an extra workforce to develop the missing link and deal with two, three or even more pieces of software, trying to make them work together.
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.
It helps to treat enterprise’s internal and often confidential data in a secured way. Together with a user-friendly interface, a clear documentation and a friendly and reactive support team it helps us to do Data Scientist work better and faster.”
We originally set out to look for tools that could help us with data annotation, and we discovered that Supervisely excels at that and much more. It has become an integral part of our workflow in annotation, model training, and evaluation.
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.
supervisely install-alland wait till everything is downloaded. Usually, it takes from minutes up to an hour.
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.Order workforce