GenlayerA decentralized legal infrastructure for AI and machine agents has built up a startup structure, has launched its first incentivated testnet with the name Asimov.
This marks the primary introduction of its multi-phase validator onboarding and technology validation initiative if the corporate uses the corporate closer to the availability provision.
The testet introduces what Genlayer calls the primary intelligent blockchain, which is driven by AI models and dissolves subjective decisions, typically outside the realm of traditional deterministic blockchain.
“Our narrative is that after we enter a world of AI agents quickly and intelligent-and-intelligent, we’re slow, slow, slow and expensive,” said Genlayer CEO and co-founder Albert Castellana and added that Genlayer offers “an artificial jurisdiction: a legal system for machines.
Combine the very best of blockchain and AI
Asimov is the primary of three sequential test networks within the Roadmap of Genlayer, followed by Bradbury and Clark.
The company goals to progressively test and scale its consensus mechanism of “optimistic democracy”. In contrast to standard blockchain validators that simply perform code, genlayer validators are paired with large language models (LLMS) so you could rate the information outside the chain and make subjective decisions to find out whether the content submitted to the campaign requirements or whether the conditions of an intelligent contract are quite fulfilled.
Genlayer positions this model as a necessary infrastructure for the upcoming age of AI lively ingredients and machine-to-machine transactions.
According to Castellana, Asimov's start is each a stress test and a signal for technical maturity for developers and partners.
Professional validators and developer ecosystem
The Validator program for Asimov goals at experienced blockchain infrastructure operators. Selected participants receive rewards for testing consensus logic, transaction treatment and model coordination. Genlayer has already managed dozens of validators with more within the pipeline on board. Participation requires full-time engagement within the test phases.
To support builders, Genlayer publishes a comprehensive developer stack, including the Genlayer Studio, the wallet, the Blockchain Explorer and the GS library (a Python toolkit). The testnet can also be paired with a subsidy program to advertise early development and experiments before the beginning of the Mainset.
rally
Together with Asimov, the Beta publication by Rally, a decentralized marketing protocol, is automated by the influencer and community incentive campaigns. With AI-operated validators, rally evaluates content submitted reminiscent of social media contributions against campaign rules which are embedded in intelligent contracts.
“Rally is our first protocol that was built on Genlayer,” Castellana told Venturebeat. “It autonomously evaluates content created within the municipalities and determines the remuneration, which opens the participation beyond influencers for everybody.”
Brands define guidelines (e.g. hashtags, sound, originality), deposit funds and let the protocol autonomously define the protocol.
This setup avoids manual negotiation and performance disputes in traditional influencers. Content manufacturers in turn receive transparent and chain -related compensation if their submissions meet presumed criteria.
“In the longer term, many influencers will likely be KI agents who’re in search of themselves – this method takes this method into consideration,” added Castellana.
Rallye works whatever the core team of Genlayer and is finally ruled by a DAO. 1% of the DAO rally from each campaign pool, while 10% of the protocol fees are assigned to the developers of the participating applications.
“The way I see Genlayer is sort of a toy factory – latest tools and mechanisms that you just cannot find anywhere else,” added the CEO. “Rally is just an example of what is feasible.”
How firms profit from
For technical decision -makers – including brand managers, growth marketers and digital campaigns – leads – genlayers and rally offer the chance to automate and decentralize the execution and quality control of the campaign. Instead of manually managing manual influencer relationships, approving content and performing the performance after the campaign, teams can use intelligent contracts that use LLMS to evaluate the submissions against predefined standards.
This approach significantly reduces the operational overhead, enables real-time feedback and rewards and guarantees fairness and transparency throughout your complete campaign cycle. In addition, using AI agents enables scalable campaign management in 1000’s of potential content partners – human or automated – without additional worker or provider friction.
For firms that often spend money on the visibility of brands, product launches or the commitment in the neighborhood, rally marketing operations could rationalize and at the identical time offer demonstrable detection of campaign performance. In combination with the broader infrastructure of Genlayer, brands also receive access to AI-controlled decision systems for the whole lot, from the payment of the grants to smart contract enforcement, whereby the legal and operational workflows in web3 contexts could also be modified.
Infrastructure for the AI-native economy
The architecture of Genlayer is supported by technical partners, including ZKSync (for roll-up-based scalability), Heurist (for decentralized model hosting), Atoma Network (for the execution of the information protection manager) and Caldera. These integrations be certain that the platform is efficient, protected and with wider ecosystems based on Ethereum.
The company has collected 7.5 million US dollars of seed financing from investors reminiscent of North Island Ventures, Arrington Capital, ZK Ventures and Arthur Hayes' Strudstrom. Genlayer sees his protocol as the premise for an artificial, global jurisdiction – an autonomous right class for the AI economy, which is in a position to lay disputes with machine speed with greater accessibility than conventional legal systems.
What's next?
According to Asimov, the Bradbury and Clark tests are introducing LLM configuration on the validator level, the ferment of the production and autonomous network operation. Each phase was developed to validate system components a Mainset start that was planned for later 12 months.
Genlayer is actively in search of skilled validators and developers to participate within the testnet. The interested parties can apply via the corporate's website.
With applications like Rally who already live in beta
