Model training for Labeled Data

Labeled data provides context which is often on a need-to-know basis.

Stained Glass preserves privacy by transforming and sharing labeled files with only data that needed is needed for AI Model training.

Use and protect ML at any stage

Risk and Compliance teams define the rules and workflows for fraud and AML detection without the need for engineers

Access more data

Risk and Compliance teams define the rules and workflows for fraud and AML detection without the need for engineers

Versatile and Lightweight

Risk and Compliance teams define the rules and workflows for fraud and AML detection without the need for engineers

Enrich your partnerships and training data using transformed labeled data

Kyocera Communications aims to perform visual AI inspections of their supplier’s manufacturing parts. However, suppliers cannot provide labeled images as they contain sensitive proprietary information. To solve this issue, Kyocera is utilizing Stained Glass to transform images and protect supplier privacy.

Protopia AI helps Kyocera build trust with suppliers and share data for AI model training to tap into new business opportunities while improving product quality, and preserving partner privacy.