OpenGradient PriceOPG

What is OpenGradient (OPG)?

OpenGradient is a decentralized infrastructure network branded as "the Network for Open Intelligence." It is designed to host, inference, and verify AI models at scale, positioning itself as an AI-native financial infrastructure for verifiable and confidential computing. Rather than operating as a standalone blockchain, OpenGradient functions as a specialized AI coprocessor that allows applications, blockchains, and autonomous agents to outsource computationally heavy AI tasks to a dedicated network of GPU and Trusted Execution Environment (TEE) nodes. The validator set verifies every computational proof, whether a TEE attestation or a zkML proof, at the consensus level before it is committed on-chain, enabling trustless usage of AI from any network or application.

The project addresses the "AI Black Box" problem, where users of traditional cloud-based AI must blindly trust that a provider is using the correct models and data. On OpenGradient, jobs such as a DeFi risk forecast, an autonomous agent reasoning step, or a simple LLM query are executed securely and generate cryptographic traces that are preserved and verified on-chain, proving exactly which model was used, what data was accessed, and that the computation was not tampered with. The network operates on the BNB Smart Chain (BEP20) platform and is also referenced on Base. It is 100% EVM compatible and describes itself as the world's largest decentralized AI model repository.

The native token, OPG, has a total and maximum supply of 1,000,000,000 tokens, with a circulating supply of approximately 221,875,000 OPG, representing 22% of the maximum supply. The project has raised $9.5 million and has been accepted into the NVIDIA Inception Program. Its testnet is live, and the network has already produced more than 4.2 million blocks while processing over 1.85 million on-chain transactions.

Key Specifications & Tokenomics

• Name: OpenGradient
• Symbol / Ticker: OPG
• Blockchain / Network: BNB Smart Chain (BEP20); also referenced on Base
• Contract Address (Base): 0xfbc2051ae2265686a469421b2c5a2d5462fbf5eb
• Explorer: basescan.org
• Category: AI & Big Data, DePIN, Binance Wallet IDO
• Total Supply: 1,000,000,000 OPG
• Max Supply: 1,000,000,000 OPG
• Circulating Supply: 221,875,000 OPG (22% of max supply)
• Unlocked Market Cap: $25.45M
• Fully Diluted Valuation: $104.29M
• Token Allocation: 40% ecosystem (10% unlocked at TGE), 4% airdrop
• CertiK Rating: 4.3
• Holders: 45.09K
• Official Website: https://www.opengradient.ai/
• Whitepaper: https://opengradient.foundation/whitepaper

Who created OpenGradient?

OpenGradient was co-founded by Matthew Wang, who serves as CEO, and Adam Balogh, who serves as CTO. Adam Balogh is also noted as a co-founder at Potato, which was acquired. The project team includes members with backgrounds in AI, blockchain, and software engineering. Detailed public information about the broader team is available through the project's official team page.

The project has attracted support from notable figures in the technology and cryptocurrency sectors. Backers and supporters include Balaji Srinivasan, former CTO of Coinbase; Illia Polosukhin, co-inventor of the Transformer architecture and co-founder of NEAR; Sandeep Nailwal, CEO of Polygon; Ekram Ahmed, Head of Marketing at Celestia; and Bruno Faviero, co-founder of Magna. Additional associated individuals include a co-founder at Sommelier, Mario Nawfal, founder and CEO of IBC Group, and Matthew Graham, founder and CEO of Ryze Labs.

How does OpenGradient work?

OpenGradient operates as a specialized AI coprocessor network. Applications, chains, and agents send compute-heavy AI jobs to GPU and TEE nodes, and the resulting proofs are then verified on-chain. Every inference job passes cryptographic verification, either through TEE attestation or a zkML proof, at the consensus level before being accepted on-chain. This architecture allows any network or application to use AI in a trustless manner without relying on a centralized provider.

The network uses a Hybrid AI Compute model, as described by Binance Academy, combining GPU resources with Trusted Execution Environments. The system is 100% EVM compatible, meaning developers can build on it using familiar Ethereum tooling. The OpenGradient Model Hub is a permissionless repository where developers can upload, access, and monetize AI models. It hosts more than 2,000 models from over 100 developers, has served more than 2 million verifiable inferences, and has generated over 500,000 cryptographic proofs. The validator set is responsible for verifying every computational proof before it is committed on-chain, ensuring that jobs are executed securely and produce cryptographic traces that prove which model was used and that the computation was not tampered with.

What makes OpenGradient unique and valuable?

OpenGradient's primary differentiator is its focus on verifiable AI computation. By ensuring every inference job passes cryptographic verification at the consensus level, it solves the trust problem inherent in traditional cloud-based AI, where users cannot independently confirm which models and data were used. This makes it possible to use AI trustlessly from any network or application, a capability that is particularly valuable for DeFi risk forecasting, autonomous agent reasoning, and other use cases where transparency and verifiability are critical.

The project also distinguishes itself through its scale and ecosystem. It describes itself as the world's largest decentralized AI model repository, with thousands of models hosted on-chain. The network has demonstrated significant activity, with more than 4.2 million blocks produced, over 1.85 million on-chain transactions processed, more than 10,000 transactions occurring daily, and over 263,500 unique wallets interacting with the system. Being accepted into the NVIDIA Inception Program and backed by prominent figures in both AI and blockchain further strengthens its position. Its 100% EVM compatibility lowers the barrier for developers to build verifiable on-chain AI agents, workflows, and applications.

What is OpenGradient used for?

OPG is the native token powering the OpenGradient network. It enables verifiable AI inference, governance, and ecosystem growth. Specifically, it powers the compute and settlement of verifiable inference, provides rewards for model development, supports staking for network security, and grants premium access to certain features. The token is integral to the economic model that incentivizes developers to contribute models and validators to secure the network.

The OpenGradient network itself supports a range of applications. These include DeFi risk forecasting, autonomous agent reasoning steps, LLM queries, AMM liquidity pool optimization, and ML risk forecasting. Several consumer applications have been built on top of the network, demonstrating the breadth of the emerging ecosystem. These include BitQuant, an AI-powered quantitative trading agent that allows users to interact with algorithmic trading strategies through natural language; DreamFort, a private chat infrastructure for AI; Digital Twins, AI digital replicas of influencers; the Model Hub, a permissionless repository hosting thousands of models; and the On-Chain AI SDK for building verifiable on-chain AI agents, workflows, and apps.

How Is the OpenGradient ecosystem developing?

The OpenGradient ecosystem is actively expanding, with a growing set of products and applications built on the network. The Model Hub hosts more than 2,000 models from over 100 developers and has served more than 2 million verifiable inferences, generating over 500,000 cryptographic proofs. The project's research highlights include breakthroughs in AI memory, contextual safety, and open standards, with publications covering topics such as optimizing AMM trading liquidity pools with on-chain ML models, MemSync Design for AI memory, and the 10 verticals of applied AI in Web3.

The network has processed over 1.85 million on-chain transactions, with more than 10,000 transactions occurring daily and over 263,500 unique wallets interacting with the system. The testnet is live, and the project has launched an OPG Airdrop Portal with a 4% total supply allocation. OpenGradient has also been accepted into the NVIDIA Inception Program. The token is listed on several venues, and the project has conducted a Token Generation Event co-hosted by Binance Wallet and PancakeSwap. With its EVM compatibility and SDK, the ecosystem is positioned to attract developers building verifiable on-chain AI agents, workflows, and applications.

How to mine OpenGradient?

OpenGradient does not use a traditional proof-of-work mining model. Instead, the network relies on GPU and Trusted Execution Environment (TEE) nodes to execute AI inference jobs, with validators verifying computational proofs at the consensus level. Participants can contribute compute resources to the network as GPU or TEE node operators, helping to host and run AI models. Staking is a core mechanism for network security, and OPG is used for staking. Token holders can participate in staking to help secure the network, and model developers are rewarded for their contributions to the ecosystem. Airdrop allocations have also been distributed through the OPG Airdrop Portal. Those interested in contributing compute or staking should refer to the project's official documentation for specific requirements and procedures.

How to keep your OpenGradient Coin safe?

Keeping OPG tokens safe requires following standard cryptocurrency security practices. Since OPG operates on BNB Smart Chain (BEP20) and is also referenced on Base, users should ensure they are using compatible wallets and verifying contract addresses before interacting with any token. The Base contract address is 0xfbc2051ae2265686a469421b2c5a2d5462fbf5eb, and users should always double-check addresses through official sources. Storing tokens in a reputable self-custody wallet, keeping private keys and seed phrases offline and confidential, and enabling two-factor authentication on any associated accounts are essential steps.

Users should be cautious of phishing attempts, fake tokens, and fraudulent websites. Only official links should be used for accessing the network, claiming airdrops, or staking. Before interacting with any smart contract, it is advisable to review its permissions and, where possible, use hardware wallets for significant holdings. Staying informed about the project's official announcements and avoiding unsolicited offers can further reduce the risk of loss. As with any cryptocurrency, the value of OPG can be volatile, and users should exercise caution and conduct their own research.