MetaKeep provides a non-custodial wallet protocol and smart contract infrastructure that eliminates the need for seed phrases and passwords, allowing users to securely manage digital assets without third-party custody risks. By leveraging patented cryptographic technology and a gas-free transaction model, MetaKeep enhances user experience and significantly increases conversion rates for Web3 applications.
Funding
Funding not disclosed
Founders
Product
Problem
Managing digital assets often requires users to safeguard seed phrases and passwords, creating friction and security risks. Traditional wallets can be cumbersome, leading to poor user experience and hindering adoption of Web3 applications.
Solution
MetaKeep offers a non-custodial wallet protocol and smart contract infrastructure that removes the need for seed phrases and passwords. The platform utilizes custom cryptographic silicon and a security architecture to give users exclusive control over their digital assets without the risk of losing wallets or leaking private keys. MetaKeep's managed middleware handles gas fees, blockchain outages, and code auditing, allowing users to interact with Web3 applications without complicated UI or paying gas fees. The company's technology aims to provide a seamless user experience and increase conversion rates for Web3 applications.
Target Audience
The primary target audience includes enterprises and end-users seeking a secure and user-friendly solution for managing digital assets within Web3 applications.
Features
- Non-custodial wallet infrastructure eliminating seed phrases and passwords
- FIPS 140-2 validated custom cryptographic silicon for enhanced security
- Gas-free transactions for end-users
- Managed NFT, Cryptocurrency, and Smart Contract middleware
- Support for all EVM chains (Polygon, Binance) and Solana, with Flow and NEAR support coming soon
- AI-powered 24/7 operations backed by triple redundancy over Alchemy, Infura, and QuickNode
- Formal verification and static analysis techniques combined with advanced AI algorithms for code analysis