Solving Data’s Last Mile Problem

Go from unlabeled data to trusted data with a single, easy-to-use data labeling platform for quality insights.

Data Labeling's Last Mile Problem = Trust

More than 97% of data engineers we've spoken to do not consume labeled datasets until they can measure, verify, and trust the quality of the labeling. This process today is manual, time consuming, and resource intensive.

Real-time output visibility

Have full control to improve your project quality in real-time with visibility on important annotation metrics like label distribution and labeling performance.

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Feedback loop

Our platform and professional annotators surface hidden insights in your data – like edge cases and label noise. No more hidden surprises when training your model.

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Intuitive QA tools

Not everyone enjoys the QA process, and we get it. We build powerful tools to help you review your labeled data with ease so you can trust your data.

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Clients trust us with their data

“The best interface for self-service labeling. Everything from uploading data to seeing it labeled in real time was really cool. This is just way simpler to use compared to Amazon Sagemaker and LabelBox. I was also very impressed with how the platform delivered exactly what we needed in terms of label quality. [SUPABOLT] gives you peace of mind knowing you will get exactly what you need upon hitting the start button.”

Jonas Olausson
Data Engineer at Black AI

“The annotators were really quick. I would upload and 5 minutes later - 10 images done. I checked 5 minutes later - 100 images done.”

Sparsh Shankar
Associate Machine Learning Engineer at Sprinklr

“What surprised me is the amount of insight I could gather with smaller batches of data - not only did I discover more edge cases, I could also quickly change up my instructions and launch a revised batch within hours. I was also able to view the labels as they were being generated, which gave me quick feedback about the label quality, rather than waiting for the whole batch. This replaced my standard manual QA process using external tools like Voxel's Fiftyone, as the labels were clear and easy to parse through in real-time.”

Sravan Bhagavatula
Director of Computer Vision at Greyscale AI

"The team at [Supa] has been very professional & easy to work with since we started our collaboration in 2019. They've provided us with good quality judgments to train, tune, and validate our Search & Recommendations models."

Puneet Garg
Head of Data Science and Data Engineering at Carousell

SUPABOLT, more than just annotated data

Get insights to turn label noise into consistent, trusted, and usable data.

Set up with ease

No code project set up. Upload your data, set up labels and instructions – and you're good to go. Get a data labeling project started in under 10 minutes!

Eyes on your data

Collaborate with your team and our annotators to surface labeling insights. Discover edge cases and labeling noise through our feedback loop and QA tools.


Trained expert annotators

Our annotators are hand-picked and trained to annotate well and give you feedback to iterate on instructions.

Supported annotation types

We support bounding box and polygon annotations, as well as image classification projects.

Pay as you go, no minimum fees

Start a project without a credit card. Only pay when you've used up your $50 free credit on us. View our fees here.

Dedicated support

If you're stuck at any point in the journey, we're here to help – especially with labeling instructions.

Powerful QA tools

Visualise your labels, calculate precision scores and get a breakdown on mislabeled annotations.

Insights driven workflow

Receive continuous feedback on your project so that you can make  adjustments to improve quality.

Need extra support? Chat with our Enterprise team.

If you’re looking for a dedicated project manager who will design and tailor a data labeling project for you, speak to our Enterprise experts.