On a mission to make building AI fun since 2017.
Our roots go back to 2013, when we started a consulting business in recently emerged computer vision field. Starting in the days when Tensorflow and PyTorch weren't a thing yet, we've built quite a number of end-to-end solution for our clients from all around the world, from the US to Japan.
Supervisely was born from our internal tools that helped us to automate and speed up machine learning R&D. In 2017 we’ve changed our primary focus from services to product. Supervisely was released in August 2017 and now we have more than 50,000 community users and Fortune 500 customers.
We understand from personal experience, that when companies build AI products they face a lot of science and infrastructure problems. The thing is they don’t know how to do this stuff right in advance. So, they spend a lot of time and money while reinventing the wheel.
Enterprises have tons of unlabeled data, domain expertise and huge potential to use AI in their business. What they lack, is the right solution to get from raw data to AI. With data labeling becoming more and more complex, AI-driven data labeling in conjunction with synthetic data is the future of automated data annotation.
The future, we're bringing to you.
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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 trial➔
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.
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