Data Access

43% of enterprises collected data goes unused. How much of your data can you access?

Stained Glass helps teams access more real data to enrich their Machine Learning models while protecting sensitive information.

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

What new revenue opportunities can you unlock if you used ML with your real data?

Hitachi, sought to label and train machine learning models using a car manufacturer’s data. However, the car manufacturer declined to share their sensitive manufacturing floor data, which created a challenge for Hitachi’s ML process that requires labeled data.