Exploring blockchain, decentralized systems, and the future of digital ownership and transactions. Our research focuses on making Web3 technologies practical and accessible for mainstream business adoption.
Layer 1 base chains and Layer 2 scaling solutions for enhanced performance and reduced costs.
Optimistic and ZK rollups
Arbitrum, Optimism, zkSync
State channels and sidechains
Cross-layer communication
Leading decentralized platform for smart contracts and decentralized applications (dApps).
Proof of Stake consensus
EVM execution environment
Layer 2 scaling solutions
Rich developer ecosystem
Ethereum Virtual Machine compatible blockchains enabling cross-chain smart contract deployment.
Cross-chain compatibility
Polygon, BSC, Avalanche support
Unified development experience
Multi-chain deployment strategies
Self-executing contracts with terms directly written into code, enabling trustless automation.
Automated agreement execution
Immutable contract logic
Trustless transactions
Programmable business logic
Object-oriented programming language for writing smart contracts on Ethereum and EVM-compatible chains.
EVM-compatible language
Contract inheritance and libraries
Gas optimization techniques
Security best practices
Blockchain oracles and integration services connecting smart contracts with real-world data and external systems.
Chainlink and custom oracles
Real-world data feeds
Cross-chain messaging
API and off-chain integration
Enterprise-grade permissioned blockchain framework for business applications.
Fabric and Besu frameworks
Private and consortium networks
Modular architecture
Enterprise integration patterns
Price-stable cryptocurrencies including Circle USDC, XRPL, and Ripple's RLUSD.
Circle USDC integration
XRPL Ledger stablecoins
RLUSD implementation
Fiat-pegged digital assets
Cryptographic methods enabling privacy-preserving verification without revealing underlying data.
Privacy-first architecture
Scalability through compression
Verifiable computation
Confidential transactions
Zero-Knowledge Proofs and Machine Learning combining cryptographic privacy with AI model inference.
ZK-SNARKs and ZK-STARKs
Private ML model execution
Verifiable AI predictions
Privacy-preserving protocols
TypeScript framework for building zero-knowledge applications on the MINA Protocol lightweight blockchain.
TypeScript-based zkApps
MINA Protocol integration
Recursive zero-knowledge proofs
Constant-size blockchain