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Read white paper
Read white paper
Read white paper
Read white paper
Read white paper

Decentralized AI runs on public infrastructure, exposing all user data and model parameters.

Concrete ML Enables Confidential Decentralized AI Using Fully Homomorphic Encryption

And unlocks a myriad of new use cases.
Features
Use cases

Healthcare

Enable AI diagnosis and collaborative medical research onchain.

Advertising

Allow privacy-preserving, onchain advertising.

Games

Enable AI in onchain games that require hidden states.

Biometrics

Authenticate users and filter bots without revealing real identities.

Finance

Enable confidential credit scoring and AI-powered DeFi.

IoT Security

Secure and manage IoT devices with confidential AI, ensuring data privacy and integrity on edge devices.

E2E Encryption

Data remains confidential throughout the AI processing lifecycle.

Inference and Training Onchain

Inference and training is done without revealing the user inputs, training data or model weights.

Python Support

Concrete ML converts Python code to FHE. Data scientists can use it with frameworks like Scikit-Learn and PyTorch.

Consensus

Concrete ML produces deterministic encrypted outputs, allowing for consensus and slashing.

Optimistic Fraud Proofs

FHE models can be integrated in Optimistic ML frameworks, as results can be recomputed by anyone.

Validation Sampling

Concrete ML can expose intermediary ciphertexts to enable verifying a random sample of the computation.

Use a Turnkey FHE Solution to Make Your Stablecoin Confidential

Concrete ML

Confidential computing
Inference and training is done without revealing the user inputs, training data or model weights.

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Threshold Key Management System

Access control
Zama's Threshold KMS enables managing access of the encrypted results directly via smart contracts onchain.

Ready to implement FHE?

Deep dive into our tech or contact our team to get started.

Are you a developer?

Everything we do at Zama is open source, check our Github libraries, and learn how to implement FHE with our developer resources.
See on Github

Contact our sales team

Learn how you can leverage the power of Zama's fhEVM Coprocessor and Threshold Key Management Service for your tokenization project.
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