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

Send & receive your Perle with the Trezor Suite app
Send & receive
Swap
Trezor hardware wallets that support Perle
Sync your Trezor with wallet apps
Manage your Perle with your Trezor hardware wallet, compatible with multiple wallet apps.
Trezor Suite
Backpack
NuFi
Supported Perle Network
- Solana
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 PRL on Trezor
Connect your Trezor
Install Trezor Suite app

Transfer your PRL

Make the most of your PRL
Trezor keeps your PRL secure
Protected by Secure ElementThe best protection against both online and offline threats
Your tokens, your controlAbsolute control over every transaction with on-device confirmation
Security begins with open-sourceA transparent wallet design makes your Trezor better and safer
Clear & simple wallet backupRecover access to your digital assets with a new backup standard
Confidence from day onePackaging & device security seals protect your Trezor’s integrity
Perle Labs is a web3-powered AI platform on Solana that connects verified experts with enterprises and research teams to train and improve AI models. Professionals, researchers, and domain specialists earn rewards and build on-chain reputations by completing high-quality data annotation and validation tasks.
Pain points the project addresses includes:
Human Data Bottlenecks: Continuous need for high-volume, high-quality data annotation, evaluation, and RLHF, but existing pipelines lack scalability.
Low-Quality Feedback: Reliance on generic labor pools without domain expertise, leading to noisy signals and degraded AI accuracy.
Lack of Verifiability: Opaque processes without audit trails for contributor performance and quality.
