Velvet
Trade Like a Pro with AI Co-Pilot
About
The problem it solves - **Unifies fragmented DeFi workflows** — Velvet Capital acts as a middleware DeFI-as-a-Service platform, streamlining on-chain trading, tokenized vault launches, structured products, and more through its Intent Operating System. - **Brings institutional-grade tools on-chain** — Offers portfolio and vault management, trading terminals, and APIs suitable for DAOs, funds, and individual traders. - **Trade any token—including memecoins—effortlessly** — Whether it’s mainstream DeFi assets or niche meme-tokens, users can seamlessly swap any token to any other token through Velvet’s Trade section, powered by a smart intent execution engine for optimized routing and efficiency. - **Adds a layer of safety via token-risk alerts** — Integrated real-time Webacy DD Alerts flag risky behaviors like honeypots, liquidity concerns, or admin privileges—empowering users to make safer trades. - **Leverages AI for seamless execution** — Its multi-agent AI Copilot (“Velvet Unicorn”) helps users discover alpha, analyze tokens, forecast prices, and execute trades via natural language and intent-based actions. - **Aligns incentives with token staking** — The $VELVET token, when locked as veVELVET, grants real yield, fee discounts, governance power, referral earnings, and other ecosystem rewards—encouraging active user engagement. Smart Contract Address(es) **0x7d6Dbe08F610cA1Ade4Fea11e5d40d0Fb9fAeCC7** **0x463A344bDD94b60D6cfDcAE0f4EABBC71a51Fd18** Other Onchain Proof **https://app.blocksec.com/explorer/tx/base/0xa6bd8ff82431e115bb1df0579e7362df37c32a585b194e9b71590b0ac7e94fdf** **https://app.blocksec.com/explorer/tx/base/0x2fe87bb6240f8b71b1e9750111cc07ed0e369a6979a00f27a6cb612b19600e83** **https://app.blocksec.com/explorer/tx/base/0x4d47a096ae4dd99db4cd59f8b0f5c730ee75324aa9ec90d56983efcaf2ec0855**
How it's made
Challenges we ran into - **Designing a Fully Oracle-Less Architecture** — We built our system without relying on any price oracles, on-chain requiring us to support all token types—including those without pricing data. - **Ensuring Flexible Yet Safe Usage** — Allowing broad token support necessitated user confirmation flows, risk disclosures, and manual override options to prevent user confusion or misuse. - **Adding the AI Copilot Engine: Velvet Unicorn** — Integrating the AI assistant brought the challenges of sourcing data, training agents, and enabling natural-language research and execution. - **Training a Self-Improving Multi-Agent System** — Velvet Unicorn uses a modular AI architecture—combining LLMs for strategy and task-specific models for accuracy—with agents that improve via feedback loops.