In 2026, AI is widely used, and
#Velvet is one of those platforms making significant progress with their AI copilot, as it is gradually building a system that reduces manual research and execution effort. .
Velvet has since developed an AI agent operating on virtuals. The project has been going on since December 2024.
With the progress made so far, it has launched an AI co-pilot in the app and began training its own model for crypto-specific use cases.
Velvet uses its AI co-pilots and a multi-agent framework that allows traders to turn natural language prompts, into on-chain research insights and multi-step trade execution — across the BNB Chain, Ethereum, and Solana. It helps traders interpret on-chain activities by analyzing live on-chain metrics in real time, social sentiment, and whale movements.
Furthermore, the velvet co-pilot can also discover trends by filtering new tokens, tracking liquidity, volume spikes, and contract metrics.
For statistical insights, it provides technical analysis, generates risk evaluations, and predicts price movements. With this, traders spend less time on manual research while executing on-chain trades.
However, as Velvet AI co-pilot supports on- chain trading with prompt to execution, it also interprets everyday language requests to prepare complex DeFi actions, swaps, and portfolio rebalancing. It helps to optimize trade execution parts across multiple liquidity sources while reducing MEV exposure. As for the non-custodial security, it retains user controls of funds in personal wallets, requiring direct authorization for every transaction.
By combining AI-assisted research with on-chain execution, velvets is reducing the time between discovering an opportunity and acting on it. Since its launch, it has been making significant progress as it allows traders to spend less time on repetitive research and execution, while remaining in control of their assets.