- Application
- Blockchain
- Cloud
- Confidential AI
- Confidential Computing
- Cybersecurity
- Encryption
- Enterprise
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Who is Zama?
Zama is a private cryptography company that develops open source and commercial fully homomorphic encryption technology for confidential computing, allowing applications to process encrypted data without decrypting it.
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- Fully homomorphic encryption libraries and tooling
- Confidential AI and encrypted machine learning workflows
- Blockchain and smart contract privacy infrastructure
- Open source cryptographic frameworks for developers
- Enterprise deployment support for privacy-preserving computation
More About
Zama operates in cryptography software, with a focus on fully homomorphic encryption, or FHE, for enterprise and developer use cases that require computation on protected data. Its software is used where organizations need to reduce plaintext exposure across data processing pipelines, including cloud environments, collaborative analytics, and privacy-sensitive application architectures. In enterprise settings, this positions the company within confidential computing and privacy-enhancing technologies, alongside methods such as secure enclaves and secure multiparty computation, though its emphasis is on computation directly over encrypted data.
The organization is associated with FHE compilers, cryptographic libraries, and tooling intended to help developers integrate encrypted computation into applications without working only at the raw cryptographic primitive level. Its work is also tied to blockchain privacy, where encrypted smart contract execution and confidential onchain applications are relevant solution areas. In AI-related settings, Zama is known for applying FHE to inference and machine learning workflows where model inputs, outputs, or both need to remain encrypted during processing.
From an architecture standpoint, Zama is commonly linked with modern homomorphic encryption schemes, compiler-based optimization for encrypted circuits, and software frameworks designed to make FHE more usable in production systems. These offerings matter in environments where regulatory, contractual, or internal data handling requirements limit where cleartext data can be exposed. Compared with broader encryption software categories, FHE addresses a narrower but technically distinct requirement: preserving confidentiality during computation itself, not only at rest or in transit.
In directory terms, the company fits most directly in applied cryptography and privacy-preserving computing software, with active solution areas spanning confidential computing, encrypted AI, and blockchain privacy infrastructure. Its product and technology focus centers on FHE frameworks, developer tooling, and enterprise use of privacy-preserving computation rather than general cybersecurity platforms.
Our description of Zama. Updated September 2026.
