Zama

Zama is an AI powered platform that is pioneering fully homomorphic encryption, enabling developers to build privacy-preserving applications that process encrypted data without ever decrypting it.

4.5
Updated 01/12/2026
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What is Zama?

  • Founders: Rand Hindi (CEO) and Pascal Paillier (CTO).
  • Launch/Funding: Established in France; secured $73 million in Series A funding in 2024.

Use Cases:

  • Machine Learning while preserving Privacy on Encrypted Data
  • Confidential DeFi and blockchain transactions
  • Secure sharing of data between organizations
  • Analytics that comply with the regulations of regulated industries

Technology:

  • Fully Homomorphic Encryption (aka FHE) makes computation on encrypted data possible.
  • Open-source libraries, Concrete ML and TFHE-rs
  • FHEVM, which can make smart contracts encrypted on EVM-based blockchain possible

Zama is an AI-powered finance platform that secure computation on encrypted data through fully homomorphic encryption (FHE). Developers are able to do analytics and training, and they can make transactional requests as consumers, all while preserving the original data. Zama is born for privacy-first applications in AI or blockchain; there is no tradeoff in utility for secrets. The organization is providing developers the ability to integrate certification encryption into existing workflows in the field with a dedicated development team, open-source libraries, and tools. Zama has applications in multiple sectors, including health care, finance, and DeFi, and it represents an important step into confidential computing. We welcome the notion of compliance, data sovereignty, and future-proof security for a privacy-focused digital world.

Key Features

Zama key features are

  • End-to-end encryption: data is protected in use and during the computation process.
  • Quantum-resistant cryptographic design for long-term trust
  • Developer-friendly SDKs and APIs for easy integration
  • Confidential AI and blockchain through the FHEVM
  • Open-source research and development libraries
  • Infrastructure that can scale and persist for real-world encrypted workloads
  • Compliance-ready design framework for finance and healthcare use cases.

Pricing

  • Token-based fees
  • Usage-dependent cost
  • Enterprise custom pricing
  • Developer-friendly access

Disclaimer: For the latest and most accurate pricing information, please visit the official Zama website.

 Who Is using?

A wide range of users and organizations are using Zama

  • Blockchain developers
  • Web3 startups
  • DeFi platforms
  • AI data teams
  • Cryptography researchers

Alternatives 

Some Zama alternatives are

  • Aztec Network
  • Oasis Network
  • Secret Network
  • Mina Protocol
  • Enigma

Conclusion

Zama transforms the landscape of data privacy by combining cutting-edge encryption with usability in the real world and making it usable. Zama's fully homomorphic encryption technology allows for computation on encrypted data, ensuring privacy throughout the whole process. Built on a solid open-source foundation, Zama is developer-friendly and easy to integrate into current AI and blockchain ecosystems, allowing organizations to build the future of confidential applications. Finally, Zama bridges the gap between privacy and real-time performance, establishing a new standard for secure and compliant computing.

 

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Frequently Asked Questions

FHE is a cryptographic technique that allows data to remain encrypted even while computations are performed on it, ensuring total confidentiality.

Developers, researchers, and enterprises working with sensitive data who need privacy-preserving computation—especially in AI, finance, and blockchain applications.

Yes, Zama’s libraries are free and open-source for research and non-commercial projects. Commercial use requires a licensing agreement.

Yes, through its FHEVM framework, Zama enables encrypted smart contracts on Ethereum and other EVM-compatible blockchains.

Healthcare, finance, AI, and DeFi sectors benefit most due to their high need for confidential data processing and compliance requirements.
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