Best on the market For us as an ML first company, labeling quality has always been a top priority. So, while we were looking for potential annotation partners, SuperAnnotate stood out by being extremely supportive in setting up the pilot project in a speedy manner, so that we could assess labeling quality and velocity. Furthermore, they proactively onboarded us to their platform and are still very supportive as our projects are ongoing. Comparing to other companies we have worked with in the past, SA is the winner. Their platform offers an exceptional user experience that is well thought through, super easy to use, and also allows us to easily set up labeling and QA workflows such that our in-house QA team is seamlessly integrated into the process.

Convenient, easy to capture edges, cool workflow. SuperAnnotate is very adaptable. All the tools are very reliable and helps a project run smoothly. I love the frequent updates the comfortable shift to a new UI or feature immersion. Their smart segmentation work is awesome and reduces work for semantic-tier labeling more than 50% by my account.

We have Thank you Superannotate. Keep up the good work! been using their platform for… We have been using their platform for quite some time and I must take this opportunity to congratulate them for the kind of support they provide along with a fine platform that thrives to grow every single day.The support team maintains an availability around the clock as they have srategically place their offices in different time zones. Thank you Superannotate. Keep up the good work!

Easy to use and great costumer help SA is easy to use, works intuititively and the support is amazing. Have been using it for nearly a year now and the platform keeps on improving. Can definitely recommend!

One of the best integrated annotation workflows I've used I am a scientific researcher in the biomedical imaging community, and I can say first-hand that the SuperAnnotate platform addresses a significant pain point for computer vision researchers. Obtaining expert annotations is often one of the first steps for a medical imaging project. Previously, I had used different open-source or commercial tools, but I often had to cobble together more than one piece of software to get a complete annotation pipeline. This was the first platform I've liked that includes an integrated, streamlined workflow for easy-to-use annotation (with AI augmentation), quality control, as well as neural network training. The team is responsive to feedback to improve the platform, and there are new features that I have yet to try but I am very pleased with the service as is. Note: I have also left a similar review on G2.