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.
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.
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.
What our clients say.
We're proud of what we do and how we do it. 💪