0G Labs ignites Aristotle: AI mainnet live

Over 100 partners, funding totaling $65 million including $35M in equity for 0G Labs and $30M raised by the 0G Foundation through AI node sales and token subscription, and mainnet now live: 0G Labs brings Aristotle into production, a Layer 1 designed for decentralized artificial intelligence with a concurrent token generation event (TGE).

The announcement was published on September 21, 2025; official information is accessible on the project’s website and in the dedicated press coverage 0G Labs (official site) and in the press release distributed via CryptoSlate.

In this context, the declared goal is to transform AI into a public good, enabling verifiable and transparent executions on a global scale.

According to the data collected in the official release on September 21, 2025, and in industry analysis, the launch includes over 100 partners and a total funding of approximately $65M distributed between equity and subscription.

Analysts note how the separation between consensus, execution, and data availability layers is an architectural choice consistent with the upgradability and scalability needs of AI-oriented L1s. We have also verified the presence of major infrastructure and custody providers in the lists published at the time of the launch.

Mainnet and TGE: what starts now

The Aristotle mainnet arrived after a series of tests on Testnet V3, also known as “Galileo,” where the team surpassed relevant benchmarks on throughput and finality, although they did not disclose official numerical values at the time of launch.

With this launch, 0G Labs proposes a new Layer 1 architecture for modular AI, dedicated to the verifiable execution of models and services, with separate components for consensus, execution, and data availability.

It should be noted that this separation is designed to facilitate rapid updates, interoperability, and greater scalability, while maintaining a focus on operational transparency.

Partners and Stack: Who’s Involved and What They Enable

The launch ecosystem includes over 100 partners, including infrastructure leaders and custody providers, as well as developer tools. Among the mentioned names are Chainlink, Google Cloud, Alibaba Cloud; wallets like Coinbase Wallet, Binance Wallet, and MetaMask; and providers and tools like Ankr, Ledger, Fireblocks, and Figment.

In fact, the composition of the stack indicates an orientation towards fast integrations and a more streamlined production deployment for AI-native dApps.

• Stack dev: SDK, RPC, indexing, and libraries for rapid integrations.
• Security: custody and audit services for production environments.
• Infrastructure: cloud and nodes for storage, computation, and data availability.

For developers and companies: immediate impact

0G Labs aims to create a public AI platform where models and datasets can be managed with complete traceability and proofs of correctness, reducing dependence on large centralized clouds thanks to verifiable executions and a more transparent data supply chain.

That said, the emphasis on auditability and verifiability aims to support use cases that require end-to-end reliability.

• Verifiable inference for models in sensitive sectors such as finance, healthcare, and compliance.
• Tokenized data markets with policy and provenance tracked on-chain.
• AI-native dApp with modular components aimed at compute and storage.
• Interoperability with established web3 tools, such as wallets, custody, and staking solutions.

Architecture: how an L1 for AI works

Aristotle combines computing nodes, distributed repositories, and execution proof mechanisms.

AI workloads are orchestrated on the network through cryptographic verifications and verifiable logs, in order to reconstruct model decisions and reduce informational asymmetries between providers and users.

Yet, the central point remains the ability to attest to the behavior of the models, maintaining data integrity and consistency throughout the entire cycle.

• Compute: distributed execution of models.
• Storage: dataset and model weights managed through decentralized storage.
• Data availability: guarantee of data availability and integrity for validators.

Objectives and Funding

Michael Heinrich, CEO and co-founder of 0G Labs, reiterates the intention to make AI a common good that transcends technological and geographical boundaries.

On the capital front, 0G Labs has raised $35M in two equity rounds, while the 0G Foundation has obtained $30M through sales related to AI node and token subscription. In this context, the details on the distribution and use of the funds have not been disclosed comprehensively, thus remaining an open issue for observers.

Technical Details and Open Issues

• Benchmark Testnet: tests conducted on throughput and finality, with numerical values not made public.
• TGE: the token generation event is scheduled to coincide with the launch of the mainnet; details on date/time and distribution mechanisms will be available in the project’s official documentation.
• Tokenomics: information on supply, vesting, allocations, and the role of the token for security and fees will be announced shortly.
• Requirements: KYC/AML procedures and geographical restrictions may apply, currently subject to verification.

Market Angle: Comparison and Positioning

The project fits into the context of compute and AI networks in the web3 domain, alongside other initiatives focused on decentralized compute and hubs for open source models.

0G Labs’ approach, centered on verifiability at the Layer 1 level, aims to offer native modularity that must demonstrate competitive performance and costs compared to centralized solutions and competitors specialized in compute or storage.

However, the promise of end-to-end transparency and auditability could prove to be a differentiating factor for critical use cases.

Expected Use Cases

• Finance: implementation of scoring and risk control with on-chain audit of model results.
• Identity/RegTech: solutions for document verification with traceability of inferences.
• Media/Content: assisted generation of content with watermarking and proof of origin.
• Research: sharing of datasets accompanied by programmable policies and attribution mechanisms.

Key Numbers at a Glance

| Partner | Over 100 | Confirmed |
| Funding 0G Labs | $35M (equity) | Confirmed |
| Funding 0G Foundation | $30M (AI node + token subscription) | Confirmed |
| Benchmark Testnet V3 | Throughput/Finality | Non-public values at release |
| TGE | Concurrent with mainnet launch | Details expected |
| Mainnet launch date | September 21, 2025 | Confirmed |

FAQ

• What is Aristotle? It is the Layer 1 mainnet of 0G Labs, designed for the verifiable execution of decentralized artificial intelligence applications.
• What does the TGE entail? The issuance and distribution of the project’s tokens occur simultaneously with the launch of the mainnet; the parameters related to supply, vesting, and eligibility will be officially communicated.
• What technical components does it offer? It provides solutions for decentralized storage, distributed compute, data availability, as well as SDK, RPC, indexing, and security tools.

Legal Notice on TGE

The information related to the TGE is informational and may be subject to change. Participation may be subject to regulatory restrictions, KYC/AML procedures, and geographical limits. It is always important to consult the official documentation and verify compliance with local regulations before making any decisions.

With the launch of Aristotle, 0G Labs aims to establish a verifiable foundation for AI-native applications, breaking down the barriers of the current artificial intelligence value chain and paving the way for critical uses where transparency and auditability are operational imperatives, not optional.