Industry-leading ML teams are choosing Ango Hub over Supervisely
Built from the ground-up for collaboration
Collaboration is a key north star for our product team. Ango Hub was built from the ground-up to support an unlimited number of users, working concurrently on an unlimited number of assets. Plus, it supports a real-time issue system, review workflows, and detailed performance tracking.
AI tools to enhance people, not replace them
When it comes to labeling, it’s important not to remove the human from the loop. This is why Ango Hub’s AI assistance tools, instead of replacing, complement human labelers and allow them to do their best work, in a fraction of the time.
With Ango Hub, privacy has never been a second thought. You can label on our cloud solution without us ever seeing anything. And if you need, you can install Ango Hub on your own air-gapped datacenter, so that your data never leaves your server.
Fully compliant for the healthcare industry
Labeling medical data ia becoming increasingly more important. This is why Ango Hub was built together with medical professionals, to ensure the best experience there is. Full support for all DICOM types, keyboard shorcuts you know, and more.
Why should you choose Ango Hub?
The all-in-one platform for labeling data at scale.
Strong AI Assistance tools that complement labelers
Track everything you want to know about your labelers' performance.
Ango Hub is accurate to the millionth of a pixel.
Ask labelers questions, then ask more conditionally.
Supports All Formats
DICOM, JPG, PNG, TIFF, WAV, MP3, MP4: Ango Hub supports them all.
Ango Hub was developed with security and privacy in mind.
20+ Labeling Tools
Whatever your project, Hub has a tool for your use case.
Something you need is not on Hub? Extend it with plugins.
Install Hub onto your own datacenter, for maximum security.
Convert your labels
Convert your existing labels to JSON and instantly import them into Ango Hub. We can help you with this.
Import your assets
Importing assets to Hub takes only a second. Drag and drop a JSON with a list of URLs and Hub takes care of the rest.
Start using Ango Hub
You’re now ready to use Ango Hub to continue your labeling project, with unlimited collaborators, assets, and labels.
“We found working with the Ango team professional, progressive, and scalable. We appreciate how the Ango team proactively seeks feedback and holds themselves accountable. Their QA team is careful, quick, and responsive, and their high-quality work has led to impactful and timely results.”
Saman NouranianDirector of AI Research at WEIR Motion Metrics
"We are glad to have found Ango AI as a partner for handling our data. The culture that they have developed is based on responsibility, proactiveness and professionalism and we have seen this through all the interactions with their team. We’re excited to deliver a lot more to our clients, by working with Ango AI. Highly recommend!"
Cristi PoganCo-Founder of Polymore
"We appreciate working with the Ango team. They are proactive in terms of seeking feedback and holding themselves accountable. We feel the professional companionship of Ango with their enthusiasm, practicality, and attention to detail that supports our business."
Yağız DemirsoySenior Product Engineering Manager at Hepsiburada
"Since starting to work with Ango AI, being able to take advantage of their labeling service within a secure network allowed us to get better results, faster."
Ango Service: Fully-Managed Labeling Workforce for Any Industry
Labeling data in-house is costly and complex. Let Ango Service take care of it for you.
Tap into Ango AI’s pool of expert annotators in the medical, banking, automotive, and other sectors to label your data quickly and at high quality.
Ango Hub is the versatile data annotation platform for projects of any size.
Yes, Ango Hub is built to allow you and your team to perform annotation tasks of any type and size. In the Cloud and On-Prem plans, there are no limits to how many people and assets you can have in your labeling projects.
Yes, we provide a fully-managed data labeling service with an immediately scalable workforce, for projects of any size and difficulty. Check out our Ango Service page for more information.
Yes, our Ango Hub On-Prem package is what you’re looking for. We set up Ango Hub on your server in less than 15 minutes (we use Kubernetes) and you can start labeling immediately with your own team. If you need to scale, upon request, our fully-managed labeling workforce can connect to your server via VPN and help you to label your data.
We support text, audio, image, video, multi-page images, and native PDF annotation.
Check out our Ango Hub page for a complete list of our labeling tools, but shortly, everything your team may need, from the usual points and polygons to more esoteric rotated bounding boxes, tables, and more.
Yes. We have a free plan with which you can try out the platform for yourself. Simply go to hub.angoai.basework.studio/dev and sign up now, no credit card required. Limited to five users, 2000 lifetime assets, and 10k lifetime annotations.
No. Users of our Ango Hub On-Prem plan can tap into Ango Hub’s ever growing fully-managed labeling workforce. If you ever need to scale your team quickly, or if you want to switch to outsourcing your data labeling tasks, contact us and our annotators will connect to your platform via VPN, and become part of your labeling team.
Yes. Built into Ango Hub are consensus and review features helping to make sure the quality of your labels stays high. You can have up to 30 people annotating the same asset: Ango Hub will calculate the consensus between them and tell you whether or not the labels agree. Plus, you can have a reviewer double checking the result.
Users of our Free and Cloud plans have two options: they can import the data to Ango Hub (therefore to our cloud servers) or they can directly annotate data they store on a cloud storage service (e.g. S3, R2, GCP.) In this second case, your data does not get uploaded to our servers and it remains stored in your cloud storage of choice.
Users of our On-Prem package can choose to label data directly from their server, or to import data they are storing on a cloud storage service. In both cases we have no access to the data.