What new revenue opportunities can you unlock with increased data access for AI?
Fintech Customer Story
A financial services firm wanted to access some datasets on an enterprise customer to develop a new fintech product but was not being given access to those datasets in raw form due to the sensitive nature of the information in them.
Stained Glass Transform enabled them to get Randomized Re‑Representations of those datasets from the enterprise customer instead of the plain-text datasets, which enabled them to train their models with these transformed datasets.
This resulted in the financial firm being able to develop a new fintech product by way of using data they would not have been able to use otherwise without maintaining confidentiality using Stained Glass Transform.
Secure your agentic AI workflows with private tool calling using Stained Glass. Protect sensitive data in tool schemas, arguments, and outputs with end-to-end privacy.
How Stained Glass helps financial institutions and and AI builders run AI with sensitive data without exposure while improving GPU utilization and cost.