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Data labelling for machine learning.
We label and validate your data so your machines can keep on learning.
A fully-managed data labelling service.
- Real talk. We label your data so you can focus on training your machine learning models.
- Get updates from a dedicated project manager who will be there with you from set up to export. #nosweat
- We teach and assess every labeller so your training data stays accurate.
- Edge cases in your dataset? Our multi-flow quality control system helps us iterate your project in real time.
- Learn more about our security and privacy practices here.
High quality, consistently.
We've designed our quality control (QC) workflows to handle even the most ambiguous edge cases.
Qualified labellers
Every labeller is required to pass strict and timed assessments before qualifying for any project.
Ground truth and QC
One of the ways we track quality is through ground truth or 'golden' datasets. We also have an elite group of labellers who QC with a fine-tooth comb.
Active feedback loop
Labelling guidelines change a few times throughout the lifecycle of a project – we get that. Your feedback goes straight to our labellers.
Real-time visibility
Coming soon: Track your project and view annotations in real-time to monitor quality from your own device.
The Supahands workflow.
Now you'll never need to build your own annotation tool (use ours!) or manage a labelling workforce to get accurate training data.
We price according to scale, quality and turnaround.
For computer vision and natural language processing projects.
Dedicated Account Manager
Enterprise-grade quality
Technical customisation
Technical support
Volume-based rates
ML-assisted labelling
Analytics Dashboard BETA
Got a question?
Will I be able to monitor the labelling being done?
How do you QC work done by your labellers?
How do you prevent ground truth tasks from being too predictable?
Is my data secure with you?
Can we add or edit labels to fit our requirements?
"The team at Supahands 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
What our clients say.
We're proud of what we do and how we do it. 💪
Nitin Anjaneya, Senior Associate,
Machine Learning Services at Sprinklr
Sentiment tagging
(Malay, Bahasa Indonesia, Tagalog)
Volume: 300,000 sentences per language
Project kickoff date: 29 Oct 2019
First batch delivered: 7 Nov 2019
(We're fast.) 26,474 tags for Malay
40,000 tags for Indonesian
Ready to scale your data labelling?