Computer vision Platform

No limits with the first
Operating System (OS) for AI

Apart from other solutions that provide tools for data labeling and machine learning, Supervisely is built differently. Stay with us for 5 minutes and find why choosing Supervisely will secure your platform for years.

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Trusted by Fortune 500. Used by 80,000+ companies and researchers worldwide

What's wrong with most of AI software?

The paramount factor when choosing a labeling software

At some point every computer vision team comes to understanding that it's too hard, slow and immature to manage growing datasets manually, use basic open-source labeling tools and spend too much time on integration between multiple solutions since there is no standardization. It's time to choose a platform.

Now, many companies choose creating an in-house solution instead of switching to an enterprise software. Why? Well, it all runs down to a simple wish:

A company wants to be sure that their current and future tasks are solvable.

The main issue with most solutions on the market is that they build as products. It's a black box developing by some company you don't really have impact on. As soon as your requirements go beyond basic features offered and you want to customize your experience, add something that is not in line with the software owner development plans or won't benefit other customers, you're out of luck.

The curse of monolith

What's wrong with products:

๐Ÿ˜ž Too many feature requests to implement at once within a single development team
๐Ÿ˜ž Software gets overcomplicated with hard to use and understand tools
๐Ÿ˜ž As functionality grows, it becomes hard to develop and maintenance product software
๐Ÿ˜ž Community stays overboard with no ways to improve software with things they need
๐Ÿ˜ž You as a customer should rely on product owner, you cannot do any changes yourself
๐Ÿ˜ž Only general problems that fit most customer are addressed, good luck if you are not one of them

App engine

Break the curse: building a platform instead of a product

Since 2017 we felt this pain many times and learned from our customers what they want from the platform. That's why we come to understanding that no software can cover every task, from image classification to LiDAR tracking, from labeling to performance analysis, cannot adapt to new challenges fast enough and be customized in a way that every company can have a tailored solution for their very own case.

The idea is to provide a foundation for developing and running applications โ€” just like in OS, like Windows or MacOS. Here how it works:

App Engine

The magic behind applications

App store for AI

Open ecosystem is born

Now, with App Engine, we are not bound by those limitations anymore. Moreover, here in Supervisely we can focus on core functionality and keep developing the platform, while Supervisely grows with new machine learning tools, model integrations and other applications.

Library of 200+ apps, 200+ solved tasks

Simplicity of creating a Supervisely Apps has already led to development of hundreds of applications, ready to be run within a single click form your dashboard and get the job done.

Train and run various neural networks, add new models and productivity tools to labeling toolboxes, automate routine tasks โ€” like in a real AppStore, there should be an app for everything.

Neural networks

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Data transformation

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Import formats

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Reports

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Labeling enhancements

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Export formats

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Visualizations

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Synthetic data

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Custom UIs

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Product vs platform

What makes Supervisely different

Let's make a quick recap and summarize the key differences which make Supervisely an ultimate choice for every company, looking for a platform that will support their computer vision development for years to come.

Technical growth

Supervisely

Platform

๐Ÿ˜ƒ Due to the App Engine and advanced dev tools, it literally takes 1 minute to start contributing.
๐Ÿ˜ƒ 10000+ Apps that are ~99% ready are already there on the github, what is left is to add integration code (~1% of code base).
๐Ÿ˜ƒ Supervisely is not the only contributor: everyone can create and publish Supervisely Apps.

Other solutions

Products

๐Ÿ˜“ As codebase of a product grows it becomes harder and harder to add new functionality.
๐Ÿ˜“ Products become too complicated with too many options and tools to understand.

Customization

Supervisely

Platform

๐Ÿ˜ƒ Customization reduces to development of Supervisely App.
๐Ÿ˜ƒ Whenever our customer needs a new feature, we just create yet another Supervisely App โ€” itโ€™s common practice for Supervisely.

Other solutions

Products

๐Ÿ˜“ Itโ€™s nearly impossible to customize a product behaviour without affecting (usually in a negative way) the experience of other users.

Variability

Supervisely

Platform

๐Ÿ˜ƒ Itโ€™s okay to have a dozen of different ways to accomplish the same task - itโ€™s just a dozen of extra apps.

Other solutions

Products

๐Ÿ˜“ Usually, there is one โ€œright wayโ€ to solve a task - users are forced to accept it.

Scope of tasks

Supervisely

Platform

๐Ÿ˜ƒ Every task in computer vision will be eventually addressed.

Other solutions

Products

๐Ÿ˜“ Either most common or very specific tasks are addressed, but not both.

SUPERVISELY FOR ENTERPRISES

On-premise edition built for your business

A fully customizable AI infrastructure, deployed on cloud or your servers with everything you love about Supervisely, plus advanced security, control, and support.

Start 30 days free trialโž”
  • Maximum security: hosted behind firewall on your servers with advanced governance and privacy settings
  • Effortless integrations: single sign-on with LDAP or OpenID, cloud storage in AWS or Azure and powerful API & SDK
  • Priority support: dedicated slack chat, guided onboarding and personalized training sessions with experts
supervisely install
> downloading pre-requirements...
> pulling docker images...
> installing software...
> Done! Supervisely is running on port :80

supervisely update
> checking for updates...
> Your version is up to date!
Supervisely slack logo
#support
Team Manager 17:33
Hello @supervisely! Is there a way to create a project via API?
Supervisely 17:35
Sure thing, check out this docs!

Hereโ€™s why our customers trust us

Engie customer testimonial
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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 enterpriseโ€™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.

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Dmitriy Slutskiy
PhD Research Engineer
BMW customer testimonial

BMW Group is using the Supervise.ly solution to create automated verifications for ensuring a very high product quality across the whole production chain in vehicle and vehicle component manufacturing.

BMW Group uses Supervise.ly to annotate manufacturing images from production lines in their world-wide plants for enhancing quality inspections using deep learning. The Supervise.ly tooling also supports the process for continuously updating AI models using semi-automated labeling.

Supervise.ly is integrated into the BMW Group AI Platform in order to empower computer vision based AI use cases.

Surgar customer testimonial
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Weโ€™ve been working together with Supervisely since 2020, and we have helped each other to grow rapidly and significantly.

Superviselyโ€™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.

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Julien Peyras
Director of Data Science Department
UCD customer testimonial
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Working with Supervise.ly has significantly enhanced our capability to develop AI models for lung CT scans. What sets Supervise.ly apart is its exceptional support team who are really responsive and adapt to our unique needs with a range of apps and helper files.

Their team has developed updates driven by our specific user feedback, making Supervise.ly a critical component of our research ecosystem in generating the specific labels we need to provide AI-driven solutions. We are immensely grateful for their pivotal role in our work.

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Katie Noonan
AI Research Engineer
Resson customer testimonial
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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.

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Travis Prosser
Engineering Specialist
Toadi customer testimonial
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We have been using Supervisely for a few years now to help label and organize our data for AI training. The interface is user-friendly and the tools are intuitive to use, which has made the annotation process much more efficient for our team. We run Supervisely locally, which allows us to stay in control of our data. We also use Supervisely for annotation reviews, and 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. In addition, the support team on Slack has been extremely helpful and responsive. The ability to collaborate with my colleagues on the same project has also been a huge time-saver.

Overall, we have been extremely satisfied with Supervisely and would highly recommend it to anyone in need of a reliable and efficient annotation solution.

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Mike Slembrouck
CTO

7

years

Supervisely provides first-rate experience since 2017, longer than most of computer vision platforms over there.

80,000+

users

Join community of thousands computer vision enthusiasts and companies of every size that use Supervisely every day.

1,000,000,000+

labels

Our online version has over a 220 million of images and over a billion of labels created by our great community.

Trusted by Fortune 500. Used by 80,000+ companies and researchers worldwide

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