Our technology
Dataset Processing
Collection, de-identification, labelling and curation of your own screens, images, documents and logs into training-ready datasets that stay on your site.
Good models come from good datasets. Agents gather raw material from your systems, strip or tokenise sensitive fields, propose labels and flag ambiguous samples for a human to resolve.
Every dataset version is tracked with its sources, labelling decisions and verifier results, so a model's behaviour can be traced back to the data it learned from.
Research on arXiv
- Datasheets for Datasets
- Confident Learning: Estimating Uncertainty in Dataset Labels
- Snorkel: Rapid Training Data Creation with Weak Supervision
Used in
See it on your own data
We start with an MVP on your screens, devices or tickets. Request an MVP and bring a real use case.
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