Multi-asset privacy payments and DeFi trading. Private cross-chain transactions without revealing your portfolio strategy.
Investigate shielded transactions and trace fund flows when authorized. AML compliance ready through decentralized selective disclosure
Test Users
Transactions
Protocols
Wallets
Chains
Test Users
Transactions
Protocols
Wallets
Chains
Integrate privacy features into any protocol across multiple chains, without rebuilding your infrastructure.
Trade on Uniswap, lend on Aave, stake on Lido—all privately. Works with any EVM-compatible chain without changing how you interact with DeFi.
Built on:
Enabled through our core tech: Selective De-Anonymization ↗
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All transactions are cryptographically hidden using zero-knowledge proofs. Your business dealings and financial data stay private unless there's evidence of malicious activity.
All transactions are cryptographically hidden using zero-knowledge proofs. Your business dealings and financial data stay private unless there's evidence of malicious activity.
Community oversight is achieved through selective de-anonymization via the Revoker/Guardian system. When malicious activity is detected, multiple independent oversight parties can de-anonymize data and share only what's required for compliance.
You're notified when flagged for review. Data is only shared after multiple parties independently agree on malicious activity, enabling money trail tracing of bad actors while keeping legitimate users anonymous—ensuring fair review without surprise exposures.
Build privacy features directly into your application using Labyrinth's SDK. Add transaction privacy to existing protocols without requiring users to change wallets or learn new interfaces—the privacy layer works underneath existing user flows.
Integrates with any Ethereum-based protocol. Works with existing smart contracts, wallets, and infrastructure and also UX features that comes with it e.g. ENS
Complete documentation, testing tools, and support for rapid integration. Everything you need to implement privacy features.
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