Surf’s model uses a multi-agent architecture that evaluates onchain data, social sentiment and token activity, delivering its analysis through a chat interface for research and reducing manual workloads for analysts and traders.
The continued integration of AI and digital assets
Artificial intelligence and blockchain are increasingly intersecting as more companies develop tools that leverage both technologies.
In April, decentralized AI startup Nous Research closed a $50 million Series A round led by Paradigm. The company is developing open-source AI models powered by decentralized infrastructure and uses the Solana blockchain to coordinate and incentivize global participation in training.
In May, Catena Labs, led by Circle co-founder Sean Neville, announced it had raised $18 million to develop a bank built around native AI infrastructure. The company said the system will be designed for both AI agents and human contributors, with AI handling day-to-day operations under human supervision.
In October, Coinbase introduced “Based Agent,” a tool that lets users create an AI agent with an integrated crypto wallet in just a few minutes to perform onchain actions such as trading, swapping, and staking.
As crypto and AI continue to converge, the role of human traders may also be shifting. The decentralized exchange Aster is running a “human vs AI” trading showdown, funding up to 100 human traders with $10,000 each to compete against top-performing AI agents Dec. 9–23.
Though the competition still has 13 days to go, Team Human was in the lead as of Wednesday, with a return on investment (ROI) of 13.36% compared to Team AI’s ROI of 0.54%.
Human vs. AI trading scoreboard. Source: Asterdex.com