Fully-managed Data Labeling

The easiest way to scale labeling volume
without compromising quality

HOW BOLT ENTERPRISE WORKS

Like your in-house annotation team, but better. Scale up while we handle the data labeling.

Enterprise pricing here

step 1
Start a POC or pilot project

Quickly evaluate if we're the right labeling partner for you. We'll set up and deliver a POC within 24 hours of receiving your data.

step 2
Evaluate Quality

View results on your Dashboard.  We'll jump on a call with you to review your project and finalise SLAs.

Step 3
Start and scale up your project

Your work is done here. A dedicated analyst will set up and scale your project and ensure our annotators deliver quality results.

Step 4
Monitor and review

Get real-time insights on project progress, analytics and annotator feedback.  Review quality and improve labeling quality with your dedicated analyst.

Bryce Wilson
Data Engineer at Black.ai

Consistent support

If there's one thing that makes SUPA stand out, it's their commitment to providing consistent support throughout the data labeling process. The team actively and efficiently engaged with us to ensure any ambiguity in the dataset was cleared up.

Jonas Olausson
Data Engineer at Black AI
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.

Sravan Bhagavatula
Director of CV at Greyscale AI
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.

Sparsh Shankar
Associate ML Engineer at Sprinklr
Really quick

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

Puneet Garg
Head of Data Science at Carousell
Good quality judgments

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.

Got a question?

What are the benefits of Enterprise?
Who will manage my project?
Who will label my data?
What quality measures are in place?
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