COVA provides a unique solution to this dilemma and allows data owners to take advantage of the commodification of data. COVA is partnering with several institutions such as hospitals and financial institutions, to open up a market of data previously locked up in data silos due to privacy concerns.COVA is the only data privacy project to support the entire scientific computing stack of python—including Numpy, Scipy, Scikit-learn, and Pandas on SGX. Data scientists can organically integrate their existing models with data on COVA and use tools familiar to them, including much of the Python ecosystem.This enables data owners to enforce privacy-preserving computation, create transparent, uncircumventable DRM, and define property rights for data, alongside many other applications that have not yet been conceived, all without the lofty impracticality of Fully Homomorphic Encryption (FHE) or Secure Multi Party Computation (MPC).