Create datasets that work

in the real world

Properly curated Machine learning datasets can be the difference between a ML system that works in the real world and one that stays in the lab.

Dataset Curation Flow
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Data curation edge cases

Create robust, trustworth AI systems

Complex AI systems need to be trained for unusual but possible situations in order to be robust.

Make sure that your ML systems can handle the most sticky situations by including important edge-cases in your datasets.

Data curation clean datasets

Only train your models on clean data

Gargage-in garbage out. Raw datasets can have a large number of bad samples, due to bad lighting, occlusion, blurred vision etc.

Make sure your ML models are trained only on clean and relevant data samples.

Ready for


Built from the ground-up to support enterprise workloads. High volume? Sensitive data? We can handle it all.

Data Security


All stakeholders including labelers and reviewers sign NDAs to ensure IP security.

Secure storage

Store your data with us, third party storage services or directly stream from your own AWS S3 accounts.


Rapid Scaling

Large team of labelers highly experienced with various types of annotations to enable rapid scaling.


Highly controlled work environments to make sure your data is totally secure.

Custom SLAs

Quality benchmarks

Picky about errors in your dataset? We can ensure an agreed-upon level of quality.

On premises data

Have strict requirements to keep your data in-house? We can setup remote-access to ensure compliance.