OpenLedger and Theoriq push AI trading onto the blockchain

OpenLedger has partnered with Theoriq to bring what the companies describe as verifiable, on-chain execution to autonomous artificial intelligence agents operating in decentralised finance markets.

In a statement announcing the partnership, OpenLedger said much AI-driven activity in finance currently happens “off-chain”.

In practice, this means trades are executed by proprietary algorithms or bots running inside private systems, often on centralised exchanges, where outsiders cannot see how decisions are made or whether rules are being followed.

While this can be fast and efficient, it limits auditability and makes accountability hard to establish when something goes wrong.

The two companies say their integration is designed to address that problem by separating decision-making from execution, and then recording both in a way that can be independently verified.

Theoriq’s AI agents are responsible for generating strategies and deciding what actions to take, for example, when to buy or sell a digital asset, or how to move liquidity between protocols. OpenLedger’s role is to ensure those actions are carried out “on-chain”, meaning directly on a public blockchain rather than inside a private system.

For a lay reader, running on-chain is broadly comparable to settling a trade on a public ledger rather than in a private database. Every step is recorded using cryptography, creating a permanent and tamper-resistant record that anyone can inspect. OpenLedger said this creates an end-to-end audit trail, from the agent’s reasoning through to the final transaction.

“AI agents today are like trains running without tracks. We’re laying the rails: hard, on-chain infrastructure that forces every decision, trade, and transfer to be visible, verifiable, and governed by rules instead of trust,” said Ram, a core contributor at OpenLedger.

The companies said the integration allows for several use cases that are difficult to verify today. These include autonomous trading and liquidity strategies where every action can be traced, agent-managed treasuries and portfolios with auditable decision paths, and execution across multiple decentralised finance protocols that is provable and resistant to disputes.

In simple terms, an observer should be able to see not just what an AI agent did, but why it did it and whether it complied with predefined rules.

A representative from Theoriq said the partnership enables its agents to interact with live decentralised markets “in a transparent, provable way” and argued that such visibility is a prerequisite if AI systems are to be trusted with managing real capital at scale.

The announcement comes amid growing use of AI in trading and market-making, where machines already manage algorithmic strategies, provide liquidity and exploit price differences across platforms at high speed.

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The release cited analyst estimates that the US business-to-consumer market for so-called agentic commerce (where AI systems act on behalf of users) could reach $1tn by 2030.

By anchoring AI activity to public blockchains, OpenLedger and Theoriq are betting that transparency, rather than speed alone, will be critical to that growth.

The Recap

• OpenLedger and Theoriq will anchor AI agent actions on-chain.
• Every decision and transaction recorded in cryptographically verifiable environment.
• Integration enables autonomous trading, treasuries and cross-protocol execution.