Unlike traditional DEXs that broadcast user intentions before execution, PriveX is the first to use COTI’s Garbled Circuits privacy protocol for trade privacy. By masking transaction data until after execution, the platform minimizes slippage and protects proprietary trading strategies. This is especially useful for autonomous agents that rely on real-time privacy to maintain performance integrity.
Built for intent-based execution, PriveX enables users to trade more than 300 perpetual pairs with institutional-grade performance, all without exposing trade data on-chain.
This architecture is purpose-built to support emerging AI use cases, particularly those involving autonomous trading agents. Looking ahead, PriveX is also developing an AI agents portal to give users access to more sophisticated strategies, along with new features that further integrate COTI’s privacy layer.
“PriveX exemplifies the kind of innovation we’re enabling at COTI, where privacy, performance, and AI come together to serve real-world trading needs,” said Shahaf Bar-Geffen, CEO of COTI. “This launch is a major step forward for COTI and for DeFi as a whole.”
Privacy-first architecture gives PriveX an edge in intent-based trading
Operating on COTI’s (COTI) privacy infrastructure, PriveX aims to bring a centralized exchange-like experience to decentralized markets. Trades are executed through a private, intent-based backend powered by Symmio, which sources liquidity from both decentralized and centralized venues, including Binance. This approach protects traders from front-running and strategy leaks, while supporting both manual and autonomous AI-driven trades.
PriveX’s solver network interprets user-defined trading intents and monitors market conditions across liquidity sources. When parameters are met, the trade is executed discreetly, with no public broadcast of order details.
Tel Aviv-based DeFi platform PriveX has officially gone live on the COTI mainnet, introducing a new approach to perpetual decentralized trading that prioritizes privacy, automation, and composability.
