Bond Labs Is Building a Bank for AI Agents on 0G

Bond connects DeFi, on-chain IBANs, and Visa cards to autonomous AI agents. With support from 0G Labs, the platform aims to bring liquidity and compliance together.

Key Takeaways

• Bond Labs is rolling out a DeFi platform on 0G for AI agents that can trade, borrow, lend, and move money.
• The platform brings together a DEX, perpetuals, lending, and borrowing, with planned neobank features such as IBAN access and Visa debit cards.
• 0G Labs is supporting the project with a $10 million incentive program, a $3.5 million investment, and a $50 million TVL target.

Bond Labs wants AI agents to do more than answer questions or automate simple tasks. The company is trying to give them an actual financial stack so they can act like economic participants. The blockchain company is launching a DeFi platform on 0G that is designed, at least in theory, to let autonomous agents trade, borrow, lend, move money, and eventually make payments through both crypto and traditional rails.

From Assistant to Actor

The launch comes at a moment when agentic AI is moving deeper into finance. According to Cambridge Judge Business School, 52% of financial firms were actively adopting it this year, while another 23% were already scaling it or using it to transform operations. That raises a practical question: how does software that can reason and act get secure access to financial infrastructure?

Bond is building around that problem. Its platform includes a spot decentralized exchange, a perpetuals exchange, and lending and borrowing markets. On top of that, Bond plans to add a neobank layer with fiat on- and off-ramps, international transfers, on-chain IBAN access, Visa debit cards, and yield-bearing accounts.

The logic behind the project is straightforward. If AI agents are going to make real economic decisions, they need more than a chat window and a model. They need liquidity, execution, credit, identity, payment rails, and risk controls. Bond is trying to put those pieces under one roof.

Support From 0G Labs

The launch is being backed directly by 0G Labs. Bond says the project has a $10 million (€8.8 million) incentive program, a direct $3.5 million (€3.1 million) investment, and a $50 million (€43.9 million) TVL target. The incentive program runs for 12 months, is tracked on-chain, and includes AI agent trades in the rewards structure.

Bond argues that liquidity is the missing piece. Without enough depth, an agent-focused platform is little more than a front end. With liquidity in place, agents can actually place orders, take out loans, and move value without a human clicking through every step.

CEO Taweh Beysolow says the biggest obstacle for money-managing AI agents is fragmented infrastructure. Michael Heinrich of 0G Labs frames Bond as part of a wider AI economy, where autonomous agents can use financial services much like human users do.

Why This Matters

For European crypto readers, the main point is that products like this keep blurring the line between DeFi and traditional payments. Bond links crypto execution with features like IBAN access and cards, which makes questions around compliance, custody, and user authorization much more concrete than they are in a typical DeFi app.

Regulators are also watching the space more closely. The Financial Stability Board has already warned that AI is spreading across AML, KYC, fraud detection, credit risk, cybersecurity, portfolio management, and compliance. The Bank of England has also noted that autonomous agents could eventually carry out transactions and amplify volatility if many systems react in similar ways.

That fits with broader experiments around payment access for agents. For example, AI-powered payments through Visa already have their own infrastructure layer, with identity and payment tools built for software that can act on behalf of users.

Security and Governance

Bond says it is taking a security-first approach, and its smart contracts have been audited by Hashlock. That is important, since DeFi platforms still face risks from exploits, oracle failures, bridge issues, liquidity shocks, and poorly designed incentive systems.

Governance is still the toughest part. If an AI agent makes a trade, approves a payment, or borrows against collateral, the rules need to be clear: who authorized it, what limits apply, and who takes over if something goes wrong. That is the real test for whether autonomous finance can move beyond a technical demo.