Zama develops open-source solutions utilizing Fully Homomorphic Encryption (FHE) to enable secure processing of encrypted data for blockchain and AI applications. This technology allows data scientists to run models on sensitive information without exposing the underlying data, ensuring privacy while maintaining functionality.
Funding
$82.3M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
PA+2Founders
Product
Problem
Blockchain and AI applications often require processing sensitive data, creating a need for solutions that can analyze information without exposing the underlying data itself. Traditional methods of data processing can compromise privacy, hindering the adoption of these technologies in sectors handling confidential information.
Solution
Zama provides open-source cryptographic tools based on Fully Homomorphic Encryption (FHE) that enable developers to build privacy-preserving applications. Their solutions allow computations to be performed directly on encrypted data, ensuring that sensitive information remains protected throughout the processing lifecycle. By utilizing FHE, Zama's technology allows data scientists and developers to leverage the power of AI and blockchain without compromising data confidentiality. The Concrete framework allows developers to write Python code that is converted into an homomorphic equivalent.
Target Audience
Zama's primary audience includes blockchain developers, AI practitioners, and data scientists seeking to build privacy-preserving applications in sectors such as finance, healthcare, and identity management.
Features
- Concrete Framework: Enables data scientists to build models that run on encrypted data using Python.
- Low-Level FHE Operators: Allows cryptographers to manipulate FHE operators directly using Concrete’s low-level library.
- Concrete ML: Simplifies the implementation of machine learning use cases with familiar models.
- FHEVM Coprocessor: Facilitates the integration of FHE into blockchain applications.
- Libraries: TFHE-rs, Concrete, Concrete ML, and FHEVM.