Ango Hub

All-in-one data labeling platform for AI teams of all sizes

6 followers

All-in-one data labeling platform for AI teams of all sizes

6 followers

All-in-one platform for massive-scale automated and collaborative data labeling. Ango Hub combines the best of automation & collaboration into a plugin based architecture. Annotate and manage all of your unstructured data with AI assistance and custom plugins.

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Launch tags:Developer Tools•Artificial Intelligence•Data Science

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Ddosify

Great! I have used the Ango Hub platform several times for image annotations in my computer vision project. Thanks to the easy use of the platform, I quickly completed my annotation process. What are your future plans?

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5yr ago

Ango Hub

Maker

@fatih_baltaci We are really glad that Ango Hub made your job easier :) In the short term we are focusing on domain agnostic AI assistance tools to speed up the annotation process further. However, in the long run our aim is to create a marketplace where companies can create, share and sell custom plugins like pre-trained models, interactors, converters etc.

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5yr ago

Ango Hub

Maker

Hi everyone! Gökalp here, co-founder and CTO of Ango AI 👋 After working with ML in production for 4 years, I realized the biggest obstacle to shipping quality ML-based products in time and within budget was data labeling. There are great open source and commercial data labeling platforms out there, but each has its own set of drawbacks. Me and my co-founder and brother @gokhan_urul wanted to make the missing data labeling platform. So we founded Ango AI (https://ango.ai) and set out to make Ango Hub, now used to annotate millions of data points by and for dozens of customers. Ango Hub fills what we felt were the biggest gaps in the industry. Here are some of its key features: 🌟 Versatility: It’s versatile, supporting any data type you throw at it. It handles image, video, audio, text, PDF, and multi-page images, all with a common interface so annotators don’t need to retrain. Plus it has nearly twenty labeling tools, from the common bounding boxes and polygons all the way to label relations, rotated bounding boxes, tables, and more. 🌟 Scalability and collaboration: Scaling a labeling project means managing lots of people with different roles. This is why Ango Hub comes with features such as intra-labeler consensus, review workflows, centralized instructions, a real-time issue/feedback system, a sample label library for your annotators, and more. On Ango Hub, labelers, reviewers & project managers aren’t just isolated silos, they actively collaborate and engage with each other. 🌟 AI Assistance: Nowadays you cannot imagine a labeling company without AI assistance. However, our experiences and studies showed that too much support from AI Assistance may result in a tendency to over-rely, besides most of the AI Assistance tools are domain specific and costly to use. In Ango Hub we focused on cost effective, domain agnostic, easy to use interactive tools to support labelers with the right amount. 🌟 Plugins: Even though most of the labeling platforms can cover the basic needs of labeling projects, small customizations on the platform can drastically improve the whole labeling process. This is why we created plugins. With plugins you can connect your own models, formatters and interactors easily. 🌟 Security: It was built with security in mind from day one. While you can access Ango Hub from https://hub.ango.ai, import your assets securely, and start labeling immediately, we have plenty of options for when a complete lockdown of data is needed, including the possibility of installing Ango Hub directly on your own datacenter, on-premise, so that your data never leaves your server. Installation only lasts 15 minutes on average and is Kubernetes-based. 🔥We also found that existing on-premise data annotation platforms were only affordable to those who could dedicate massive budgets to labeling. With Ango Hub, we want to democratize and open up on-premise data annotation to midsize teams. It’s now installed and used in companies ranging from medium-sized startups all the way to national banks. Plus, everyone who signs up today gets a free plan that should be enough for small teams to get even medium-sized projects done. I can’t wait to hear your feedback and thoughts 🕺 On a final note, I'm super proud of the Ango team who worked really hard on this product and launch. Kudos 🙏

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5yr ago

Boltic

@gokhan_urul @gokalpurul Congrats! And all the very best. In my previous organization this was such a big problem. I have shared this with few of my ex-colleagues and friends who are managing tagging projects for multiple AI projects. This is simple and great! Good job!

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5yr ago

Ango Hub

Maker

@kapilgadhire Thank you, it was such a headache for my previous team as well :)

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5yr ago

Boltic

Congratulations @gokalpurul, @gokhan_urul and team. I remember working on a project which required labeling data in images, videos etc. This will not only solve sub-problems of such type but you have provided so many features on top of it that it will complete the end to end flows of the problem. I can see a good scope for Ango Hub, all the best.

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5yr ago

Ango Hub

Maker

@sanveer_osahan Thank you :) Especially in data centric AI the importance of training data is huge. As Ango our ultimate goal is to achieve full stack data labeling service which will provide an end to end solution as you said.

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5yr ago

Great UI and UX, which is highly important for labelers to label correctly and to make labeling process sustainable. I also loved the AI-assisted features. Nice work!

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5yr ago

Ango Hub

Maker

@selim_firat_yilmaz Thank you Selim, we appreciate you taking the time to check out Ango Hub :)

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5yr ago

Love the fact that it can be installed on-premises. Often when developing ML models people use images that can’t leave the server, so that was a nice touch and a differentiating feature.

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5yr ago

Ango Hub

Maker

@oguzaysk Thank you Oğuz. Building a data labeling platform is a massive responsibility, since you're handling massive amounts of data coming from customers, each with different security requirements. We found enabling on-premise to be a great way to allow everyone to label their data, no matter their needs.

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5yr ago

Congratulations Ango AI! You have a very productive team and platform for the AI industry. We had chance to experience this platform in one of our projects and we were very satisfied. I recommend that related people try this solution. I wish a continued success!

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5yr ago

Ango Hub

Maker

@yararman Thank you Yusuf, it was a pleasure working with you and the team. Appreciate the words!

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5yr ago

I worked at a data science company for almost 2 years and now I'm working for Atlassian as a software engineer. Working with data, it's really difficult to handle labels as a result it's difficult to train ML models, as well. For small and large businesses there SHOULD BE a platform to control both your labels and labelers. Developing a platform costs a lot, and you guys make it easy by providing Ango Hub, and also thinking every detail of it :) Great work!

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5yr ago

Ango Hub

Maker

@mehmet_ali_karakamis Thank you Mehmet! It's awesome to see that Ango Hub is actually solving real-world problems that teams have. We appreciate your support and great words :)

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5yr ago

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