Data stored on local or privacy protected storage, training happens locally or in a privacy protected setting such as TEE or FHE.

Gradient matching valuator provides faster and cheaper data quality control for data contribution to any niche, long-tail datasets than existing methods.

Convenient data contribution to any datasets in return for incentives from multiple sources post data valuation.

Friendly user interface for both new and veteran AI builders, integrated with top solutions for fine-tuning, compute, data cleaning, model integrations, etc.