Genlayer offers a new approach for AI agents transaction: Receiving multiple LLM for voting on a suitable contract
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We have heard a lot about AI agents – tools powered by generative models of AI that can take action without much human supervision or intervention.
But they still remain to a large extent new curiosity for most people, and as far as we can understand, very few people trust the AI ​​agents to buy or contract on their behalf – for now.
GenlayerStarting, simply out of stealth, believes that there is a technology that will provide the missing component of “trust” of the AI ​​agents economy.
Genlayer’s idea is a blockchain infrastructure that allows AI agents to prepare contracts, regulate payments and execute agreements autonomously.
Last fall, the company announced it had collected $ 7.5 million From remarkable investors, including Arthur Hayes, Arrington Capital and North Island Ventures to revive this vision.
How to make AI agents reliable for people – and each other for each other
A -agents already prove their ability to analyze data, make transactions and manage assets, but there is a major problem: they are inherently not trusting. Unlike people, AI agents are not afraid of court cases or reputation damage – so how do they apply agreements?
Albert Castelana, CEO of Yeagerai (Building Genlayer), sees this as a critical disadvantage in today’s AI development.
“Even in a situation where you have agents who can trade between yourself, how do they trust each other?” Castellana said in a recent interview with Venturebeat. “AI is not sleeping, AI works globally, AI cannot go to prison. The legal system will have a big problem that deals with this type of situation. “
Traditional intelligent contracts on which blockchain-based transactions are too firm for AI-managed trade.
They cannot process unstructured data, understand a complex language, or adapt to changes in the real world.
Genlayer wants to upgrade the intelligent contracts in “Intelligent Treaties”-flexible agreements with AI, which operate many as human contracts.
Unlike traditional blockchain, which require external oracles for access to data outside the chain, Genlayer integrates AI directly into the protocol level. Intelligent contracts can extract native live web data, process a natural language and reason for complex, real conditions-all of all, without relying on third-party services.
“Blockchains allow self -execution contracts, but they have restrictions,” Castelana explained. “They cannot connect with the outside world, they cannot understand unstructured data. But AI needs contracts that look much more like human contracts – fast, cheap and adaptive. “
Genlayer decides this with a “optimistic democracy, a consensus model managed by AI, in which many validators of all of which use different large linguistic models (LLM)-vote whether a valid contract or solution generated by AI is. This guarantees that no AI model has control and prevents manipulation.
“We have created a blockchain where validators, even if they receive different AI or Internet answers, can still reach consensus,” Castellana said. “This is the main judicial system for the future of trade.”
How does the Genlayer approach work
At its core, Genlayer works as a confidant layer of the AI-independent system that guarantees that AI agents work fairly in financial transactions, execution of contracts and dispute resolution.
The main features include:
- Intelligent contracts: AI power agreements that process natural language and have access to live web data.
- AI-rifle by decision-making: A consensus model where many AI models vote for results to ensure reliability.
- Optimistic democracy: A blockchain -based management model that prevents AI manipulation by using decentralized decision -making.
- Of the chain and the circuit compatibility: The ability to connect intelligent real -world data contracts and Internet sources.
- Zksync integration: Scaleness, low cost and security at Ethereum level.
The basis of Genlayer is an “optimistic democracy”, improved delegated proof of pledge (DPOS) model that integrates AI directly into Blockchain validation. Instead of relying on determinated logic, validators connect to LLMS to process natural language, interpret data and implement complex chain solutions.
When a transaction is sent:
- A leading validator processes the request and offers a result.
- A set of validators recalculate the transaction independently by validating the leader’s proposal.
- If the majority agrees, the transaction is finalized. If not, a new leader is chosen and the process is repeated.
This mechanism prevents the manipulation and ensures that the AI ​​-generated solutions are supported by consensus, not by the decision of a whole.
Inspired by The theorem of the jury of a condorze -Theory of mathematical and political sciences from the 18th century than the Marquis de Condorche, who says the jury is more likely to make the right decision with more participants-System aggregate AI exits in multiple validators, providing justice and reliability even for non-rifle tasks such as the interpretation of legal contracts.
The approach is described in a Whitepaper Posted by the three co-founders of Genlayer-Castellane, Jose Maria Lago and Edgars Nemeshe. You can find it built below.
Why Genlayer thinks his moment has arrived
The AI ​​AI Business Competition is accelerating. Companies like Openai are deploying AI agents that can work independently, but they still rely on slow, human -controlled legal and financial systems.
“AI will not wait for lawyers,” Castellana stressed. “If we want AI to participate in the economy, we need an infrastructure that matches its speed.”
Other startup companies deal with AI-agent transactions-as Skyre and Pine Ai – But Genlayer uses a different approach. Instead of focusing on the construction of AI agents themselves, Genlayer creates the trust layer that allows them to make transactions.
“There are 100 start -ups working on AI agents,” Castella said. “But trust requires a third party. We are building this third party – the infrastructure that makes AI trade possible. “
To stimulate validators and cover the cost of performing smart contracts, Genlayer introduces a local gas marker called Gen. Consumers pay transaction fees in GEN, which are then allocated to validators as a reward for their services.
This approach ensures that transactions managed by AI remain fast, cheap and self -supporting. In addition, the Genlayer -based betting markers enhances incentives, rewarding honest validators and penalizing bad actors through cutting mechanisms.
What is next?
Genlayer’s Testnet launches early projects focused on:
- AI-Run supplies This autonomously negotiates logistics.
- AI-Nourished Marketing of Influence where payments are based on results.
- Decentralized financing applications who use AI to execute trade.
- Autonomous Decentralized Autonomous Organizations (DAOS) This adjusts management based on community reviews in real time.
- Insurance and Lending to AI This adaptation of terms based on external risk factors.
The company will show its technology in Ethereum Community Conference (ETHCC8) Having held on June 30 July in Cannes, France.
The AI ​​economy is coming – but without trust, it will not scale. Genlayer relies that contracts run by AI imposed on a blockchain will be the basis of a trillion -managed market.
“We are building the legal framework for global AI trade,” Castellana said. “This is about allowing AI to work together, not only faster but also with trust.”
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