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Confidential Transfer
The cnfidentialit
laer of wb3
Inco is the missing layer of the blockchain stack, empowering smart contracts with confidentiality to unlock use cases and enable widespread web3 adoption.
Backed by leading investors
Cnfidential ERC20 Framewrk using Fully Hommrphic Encryptin (FHE)
Empowering ERC20 tokens with FHE to unlock a plethora of confidential use cases in payments and beyond.
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ur innvatins
Inco augments existing blockchains with confidentiality.
Encrypted state onchain
Store encrypted data directly onchain and conceal selected information to build new use cases powered by confidentiality.
Confidential composability
Perform state transitions on encrypted data fully onchain while maintaining seamless confidential composability between applications.
The cnfidentialit stak
An end-to-end solution leveraging enterprise-grade cryptographic methods.
Fully Homomorphic Encryption (FHE)
The "holy grail" of encryption: compute on encrypted data without having to decrypt it.
Multi-Party Computation (MPC)
Secure decryption using a secret key split among multiple parties so no single participant has access.
Trusted Execution
Environment (TEE)
Privacy-preserving and verifiable compute in a hardware-secured execution environment.
Deply seamlessl wit yur existin tls
Start building with Solidity and familiar EVM tooling
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Latst nws
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FAs
While it is true that FHE requires intensive computation and cannot support use cases that require scale (such as training ML models on top of encrypted data), it is currently fast enough to support smart contract use cases. This is because not all the operations within a smart contract are confidential, and the waiting period for producing new blocks provides enough time for the computation needed.
Typically, TPS (transactions per second) is measured using standard ERC-20 transfers. In our case, it will be based on confidential ERC-20 transfers, which involve FHE-based operations such as addition, subtraction, comparison, and conditional multiplexing (select). We anticipate that mainnet will support at least 10 TPS using a single GPU. It’s important to highlight that FHE computations are parallelizable, allowing for horizontal scaling. Furthermore, we expect FPGA hardware acceleration to enhance scalability by an additional factor of 10-100x over time.
The TFHE scheme is based on lattice cryptography, which has been endorsed by the National Institute for Standards and Technology (NIST) to be resistant to quantum computers.