Safe & secure FairWitness wallet
Take control of your FairWitness assets with complete confidence in the Trezor ecosystem.
- Secured by your hardware wallet
- Use with compatible hot wallets
- Trusted by over 2 million customers

Send & receive your FairWitness with the Trezor Suite app
Send & receive
Trezor hardware wallets that support FairWitness
Sync your Trezor with wallet apps
Manage your FairWitness with your Trezor hardware wallet synced with several wallet apps.
Trezor Suite
MetaMask
Rabby
Supported FairWitness Network
- Base
Why a hardware wallet?
Go offline with Trezor
- You own 100% of your coins
- Your wallet is 100% safe offline
- Your data is 100% anonymous
- Your coins aren’t tied to any company
Online exchanges
- If an exchange fails, you lose your coins
- Exchanges are targets for hackers
- Your personal data may be exposed
- You don’t truly own your coins
How to FWT on Trezor
Connect your Trezor
Open a third-party wallet app
Manage your assets
Make the most of your FWT
Trezor keeps your FWT secure
- Protected by Secure Element
The best defense against both online and offline threats
- Your tokens, your control
Absolute control of every transaction with on-device confirmation
- Security starts with open-source
Transparent wallet design makes your Trezor better and safer
- Clear & simple wallet backup
Recover access to your digital assets with a new backup standard
- Confidence from day one
Packaging & device security seals protect your Trezor’s integrity
The first on-chain zero-knowledge oracle dedicated to certifying the fairness of AI models. It accepts SHA-256 commitments of model weights and architectures, ingests anonymized inference logs, and produces zk-SNARK proofs to confirm that the model satisfies user-defined fairness thresholds—without revealing any private data. Upon successful verification, the agent mints a tamper-proof ERC-721 “Fairness Attestation NFT.” A lightweight verifier contract then exposes isModelFair(bytes32 modelHash) → bool, enabling downstream protocols to trustlessly query a model’s fairness status on-chain.