Over 2 million registered customers and 10,000 brokers already revealed. ChainOpera brings decentralized AI from the experimental part to a concrete implementation on blockchain, with incentives, traceability, and built-in verifications, as described within the official ChainOpera whitepaper and in business analyses revealed on The Block.
The challenge, described by co-founder Salman Avestimehr – professor at USC and recipient of the U.S. Presidential Early Profession Award for Scientists and Engineers (PECASE), in addition to IEEE Fellow – combines decentralized federated studying and distributed ledgers to construct an operational and interoperable ecosystem.
On this context, the acknowledged aim is to return possession and management to communities of builders, computing suppliers, and finish customers.
In accordance with the general public information accessible within the whitepaper and official communications, up to date as of September 30, 2025, the platform studies over 2 million registered customers and roughly 10,000 revealed brokers.
Business analysts observe that the completion of the $17 million seed spherical in December 2024 accelerated the event of the L1 and OS elements. Cross-checks of the technical pages reveal metrics on PoI functionalities and the layered construction that affirm the method described within the challenge doc.
Origins, workforce, and imaginative and prescient
ChainOpera was born from the expertise gained with FedML, an open-source library launched in 2019 for decentralized federated studying. The challenge was co-founded by Salman Avestimehr and Chaoyang Aiden He, who initiated FedML throughout his PhD FedML ChainOpera.
The workforce consists of tutorial profiles and engineers from UC Berkeley, Stanford, USC, MIT, and corporations like Amazon, Google, and Microsoft.
The long-term imaginative and prescient converges in direction of a community-owned and ruled “Crypto AGI,” a subject addressed in interviews and debates throughout the sector The Block. The $17M seed spherical was introduced in December 2024 and noticed the participation of institutional traders supporting the event of the L1 infrastructure.
What does “decentralized AI” on blockchain imply
A decentralized AI distributes coaching, execution, and verification of brokers throughout a community of nodes with out central management.
The blockchain, on this context, data contributions, certifies outcomes, and manages rewards in response to clear guidelines, as defined within the protocol specs and the official whitepaper.
In follow, every actor – whether or not or not it’s information, fashions, GPUs, or brokers – obtains a verifiable hint of their actions. The outcome is a rise in transparency, improved auditability, and incentives aligned with high quality.
Stack and numbers: the platform in 4 ranges
In accordance with ChainOpera, the ecosystem, structured into 4 interoperable layers, is already operational:
- AI Terminal (Tremendous App): a ChatGPT-style dApp, deployed on the BNB Good Chain (BNB Chain), with over 2 million registered customers and a whole lot of hundreds of DAU (every day energetic customers, metric not but publicly disclosed) (information reported in 2025 and verified as of September 30, 2025) BNB Chain: over 2 million customers.
- Agent Developer Platform: a market the place over 10,000 brokers have been revealed, reusable in numerous compositions, as reported by business retailers The Block.
- Mannequin & GPU Platform: an infrastructure designed for mannequin suppliers, information, and computing capability, integrating Web2 and Web3 options ChainOpera.
- AI‑Native Blockchain Protocol: the Proof of Intelligence (PoI) protocol to measure, validate, and remunerate contributions, making all the system verifiable and auditable. The technical specs are described within the analysis sections of the whitepaper.
Proof of Intelligence: how efficiency and contributions are measured
The PoI is a verifiability protocol designed to attribute worth to the efforts of brokers and suppliers. It’s primarily based on three pillars:
- Measure: analysis via standardized duties (for instance, accuracy, success fee, latency, value per job, and resistance to adversarial inputs).
- Verification: use of on‑chain attestations, peer checks, and pattern re‑executions to mitigate fraud and sybil assaults.
- Liquidation: distribution of rewards proportional to the worth produced, with penalty mechanisms (slashing) in case of discrepancies.
In essence, an agent deposits the result of a job; unbiased verifiers examine it with shared benchmarks and the blockchain data each the outcome and the associated payout. This manner, a high quality financial system is incentivized, not simply the consumption of assets.
Influence: a cooperative and onboarding-oriented AI
The cooperative nature of the community permits brokers and fashions to enhance as information availability and computational capability enhance.
Every new contribution integrates into the system, enabling chains of specialised brokers, as described within the whitepaper and public challenge communications ChainOpera.
The conversational interface facilitates entry to DeFi and different on‑chain instruments, making AI a pure bridge for non-expert customers and producing a virtuous circle between utilization, growth, and interoperability.
Competitors to Centralized Fashions: The place It Can Win and The place It Can’t
Decentralized methods deal with specialization and composition of brokers, contrasting with giant centralized fashions. Among the many benefits are:
- Transparency and the opportunity of auditing on executions and prices;
- Resilience in opposition to single factors of failure and censorship;
- Incentives that reward high-quality contributions (information, fashions, or computational capability).
That mentioned, vital challenges stay associated to the adoption of efficient governance, the management of agent high quality, and compliance with privateness and mental property rules, in addition to potential limitations attributable to latency and verification prices in real-time functions.
Context: the way it positions itself in comparison with different tasks
Within the international panorama, Bittensor, SingularityNET, and Fetch.ai observe totally different paths: Bittensor incentivizes the availability of intelligence via community and mannequin mining; SingularityNET presents a market for AI providers; Fetch.ai focuses on an financial system of autonomous brokers.
But, these variations spotlight the positioning of ChainOpera, which stands out for an already energetic person terminal, an agent market, and a local verification protocol (PoI), aiming to bridge the hole between growth and adoption.
Roadmap: priorities and contribution alternatives
- Agent Social Community: growth of multi-agent experiences and smoother interactions between people and AI, to foster group collaborations.
- Verifiability: refinement of the PoI protocol via public benchmarks and much more strong attestations, to make sure transparency. A subject addressed intimately in AI Benchmark: full information to evaluating AI mannequin efficiency.
- Developer platform: enhancing the scalability of brokers, with functions in sectors comparable to market intelligence, automation, and on‑chain execution.
The roadmap highlights the areas the place communities and companions can experiment and contribute to the validation of key elements, sustaining an utility‑led method that aligns analysis and adoption in the long run.
In Abstract
ChainOpera combines a blockchain-based AI platform, collaborative brokers, and a Proof of Intelligence mechanism designed to measure and reward contributions.
With 2 million registered customers, 10,000 brokers revealed, and a product already stay, the challenge presents a concrete path to decentralization of AI, whereas dealing with vital challenges in governance and high quality management, as confirmed by current business analyses Cryptocurrencies and rising tasks: ChainOpera among the many leaders.