Use cases

Our solutions empowers data driven teams across industries to unlock valuable insights from sensitive data while preserving data and building trust.

More collaborative healthcare

Challenges

Multiple hospitals and institutions have patient data which belong to different cohorts. Data and AI teams find it difficult to bring together this distributed data and unlock insights. The primary pressure - patient privacy.

Solutions

Using Fluid’s privacy-preserving solutions, data-driven teams can learn from these silos of patient data in each of these institutions - without moving or exposing any sensitive data.

Results

  • More accurate intelligence

  • Shorter negotiation and business cycles

Private data sharing in finance

Challenges

Banks and service providers use machine learning and AI to fight fraud and other deviations. But providing access to sensitive transaction data for building such intelligent systems is a difficult, time-consuming and risky process.

Solutions

With Fluid, data teams in these enterprises can share data in a private sandbox environment while preserving complete privacy. They can also govern access and compliances easily and reliably.

Results

  • Access to more data with much less governance overheads

  • Faster and more accurate intelligence