Side-by-side comparison of AI visibility scores, market position, and capabilities
DeFi trading protocol on Sei blockchain offering institutional-grade CLOB with sub-millisecond execution. 20K+ private alpha users; targeting $30T tokenized asset market.
Monaco is a decentralized finance trading protocol built on the Sei blockchain, designed to bring institutional-grade trading infrastructure to the on-chain token markets. The protocol is centered on a Central Limit Order Book architecture — the same order matching system used by professional equity and derivatives exchanges — combined with sub-millisecond execution speeds that approach the performance benchmarks of traditional financial market infrastructure.\n\nThe protocol targets the rapidly expanding market for on-chain token trading, which encompasses a $30 trillion addressable opportunity as tokenization of real-world assets, equities, and financial instruments accelerates. Monaco's CLOB design offers traders precise price and order control that automated market maker models cannot match, making it particularly attractive to algorithmic traders, market makers, and institutional participants who require deterministic execution. The choice of Sei — a blockchain purpose-built for trading applications with native order book support — reinforces the protocol's performance-first architecture.\n\nMonaco completed a private alpha with over 20,000 users before its broader launch, indicating substantial pre-launch demand from the sophisticated trading community. The project is entering a market where DeFi trading volume increasingly originates from professional and semi-professional participants who have historically been constrained by the performance and transparency limitations of AMM-based DEXs. Monaco's infrastructure positioning makes it a natural destination for this institutional migration to on-chain trading.
Adept AI raised $415M to pioneer computer-use AI agents; its core research and agent team moved to Amazon in 2024 in a landmark talent acquisition while the company continues developing ACT-1 for enterprise automation.
Adept AI was founded in 2022 by a team of former OpenAI, DeepMind, and Google Brain researchers to build AI that can take actions on computers — navigating software interfaces, filling forms, and executing multi-step workflows in any application. Its ACT-1 model demonstrated the ability to control web browsers and desktop applications through natural language instructions, pioneering the computer-use agent paradigm that Anthropic later commercialized with Claude's computer use feature.
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