Subsalt was founded to make it faster, safer, and easier to share and use regulated data
We have more data to inform our decisions than we've ever had, and that data has the potential to power a better, fairer, and more efficient society. But with this emergent power comes new responsibilities to protect sensitive information about users, customers, patients, and citizens. These new responsibilities are increasingly formalized in modern data protection laws that increase the penalties for organizations that don't take these responsibilities seriously.
We're motivated by the potential of technology to balance the value of a more data-informed society with the imperative to protect sensitive data. We aspire to empower organizations to move fast without moving recklessly or putting sensitive information at risk. And the best way to balance these opportunities and risks is to provide a way for organizations to anonymize their sensitive data at scale and to the requisite legal standard.
Subsalt's Query Engine for Regulated Data uses state of the art machine learning and generative AI to create anonymized versions of enterprise data that carry strong protections against re-identification and preserve data utility across analytical tasks like model training, analytics, and research.
Data produced by Subsalt can be shared and accessed without legal, risk, and compliance reviews, unlocking the value in sensitive data.
