In July 2026, the total value of on-chain tokenized real-world assets (RWA) reached approximately $3.35 billion. Meanwhile, AI agents completed 140 million payments in the nine months leading up to March 2026, with total transaction volume hitting $43 million. These two seemingly parallel growth trajectories converge on a fundamental issue—data.
When AI models require massive datasets for training, RWA protocols need to verify off-chain asset information, and DeFi applications demand real-time risk and price data, a common bottleneck emerges: How can we ensure the authenticity and reliability of data?
Traditional oracles have solved the question of "how to bring data on-chain," but they haven’t addressed deeper trust issues such as "is the data genuine," "is the computation process trustworthy," or "has the result been tampered with." Against this backdrop, Orochi Network has entered the industry spotlight as a "verifiable data infrastructure."
The Triple Challenge of Data Trust
The Data Paradox in AI
The performance of AI systems depends heavily on the quality and scale of their training data. However, as generative AI content floods the internet, data contamination has become a systemic risk leading to model degradation. An AI model may train on vast amounts of unverified data, casting doubt on the credibility of its outputs from the very beginning.
A more critical issue is that, even if the training data itself is genuine, the reasoning process of AI models lacks auditability. When AI agents are given crypto wallets to execute on-chain transactions, how can users verify that the AI’s decision-making is sound? This is not just a technical concern—it’s a prerequisite for financial security.
The Verification Gap in RWA
RWA market growth is impressive—by early July 2026, the value of freely tradable on-chain RWAs stood at about $3.35 billion. Yet, behind this scale lies a structural contradiction: real assets fundamentally exist in the off-chain world. No matter how they are tokenized, trust ultimately depends on some off-chain entity to hold and execute them.
Asset verification, valuation audits, custody certificates, compliance reviews—how can the data generated by these processes be validated by on-chain smart contracts? Most RWA protocols today offer not "trustless transparency," but "auditable transparency"—users can check whether on-chain data matches off-chain proofs, but cannot independently verify whether the off-chain asset actually exists and is fully accessible. This gap is one of the main reasons institutional capital moves slowly onto the blockchain.
DeFi’s Data Dependency
DeFi protocols rely on external data inputs for risk exposure management, liquidation mechanisms, and credit evaluation. Price oracle attacks, delayed liquidity data, and missing credit information have become recurring sources of risk in DeFi.
Traditional oracles reduce single-point failure risk by aggregating multiple data sources, but they themselves remain a trusted intermediary layer. Users cannot independently verify whether the oracle’s data is genuine or whether the aggregation process is correct. When liquidation decisions involve hundreds of millions of dollars in assets, the cost of this "trust dependency" can be enormous.
Orochi Network’s Technical Approach
Orochi Network positions itself as "Verifiable Data Infrastructure" (VDI). Unlike traditional databases or oracles, VDI aims to establish a new data trust mechanism—by introducing cryptographic proofs into the data lifecycle, making data as public, transparent, and verifiable as blockchain transactions.
Zero-Knowledge Proofs: Verifying Without Disclosure
Orochi Network leverages cutting-edge cryptographic technologies such as zero-knowledge proofs (ZKP), fully homomorphic encryption (FHE), and trusted execution environments (TEE) to ensure data integrity and confidentiality. The core value of these technologies is that data can be verified and utilized without exposing sensitive information.
In the RWA context, asset issuers can use ZKP to prove asset ownership, valuation, and compliance status to on-chain smart contracts, without revealing beneficiary identities or full financial details. This "verifiable privacy" is a foundational capability required for institutional-grade asset tokenization.
Verifiable Computation: Trustworthy Processes
Orochi Network is not a traditional blockchain, but a distributed network dedicated to multiparty computation (MPC) and zero-knowledge proof generation, providing trustless verifiable computation services.
Technically, Orochi uses an "off-chain computation, on-chain verification" model—complex computational tasks are executed off-chain, with only streamlined verification data uploaded to the blockchain. This design frees up on-chain resources and enables blockchains to support complex computations.
zkDatabase: The Verifiable Database
zkDatabase is one of Orochi Network’s core products and the world’s first verifiable database. Unlike traditional databases that only return query results, zkDatabase generates a cryptographic proof alongside the data. Users can independently verify whether the query was executed correctly, whether the returned data came from the specified database state, and whether the data was tampered with during the process.
In DeFi scenarios, this means protocols can obtain asset prices at a specific historical moment, along with cryptographic proof that the data has not been altered—without needing to trust the data provider.
Multi-Proof System Compatibility
Orochi Network supports various ZKP systems, including Plonky3, Halo2, Nova, Pickles, and more, giving developers the flexibility to choose the most suitable proof system for different applications. It also uses ZKP to enhance interoperability, enabling seamless integration across different blockchain platforms.
Market Performance and Ecosystem Progress
As of July 22, 2026 (UTC+8), Orochi Network (ON) was priced at $0.12159, with a 24-hour change of -17.43%. However, the 7-day gain was 79.31%, and the 30-day gain reached 86.48%. The market cap stood at $17.54 million, with a 24-hour trading volume of $401,700 and a total supply of 1 billion tokens.
The ON token plays multiple roles within the Orochi Network ecosystem: connecting data storage, proof generation, computation verification, node incentives, and community governance. This enables network participants to form a complete economic cycle around trusted data.
On the funding side, Orochi Network raised $8 million on January 17, 2026, with investors including the Ethereum Foundation, MEXC Ventures, Plutus VC, Bolts Capital, Anti Capital, Presto, Ant Lab, DeCom, and other well-known institutions. Total funding has reached $20 million.
On the ecosystem front, Orochi Network has integrated with over 55 products, more than 140 projects have joined its ecosystem, and zkDatabase has been downloaded over 11,100 times.
Conclusion
AI needs verifiable training data, RWA needs verifiable asset information, and DeFi needs verifiable risk and price data. All three point in the same direction: the credibility of on-chain applications ultimately depends on whether the underlying data is verifiable.
Orochi Network combines zero-knowledge proofs and verifiable computation to forge a practical path between "data usability" and "privacy protection." Its zkDatabase and verifiable data pipelines are extending "verifiability" from the ledger layer of blockchains to broader data domains.
Of course, verifiable data infrastructure is still in its early stages. ZKP proof generation efficiency, performance in large-scale data scenarios, and ecosystem network effects are variables that require ongoing validation. But the direction is clear: as on-chain applications expand from cryptocurrencies to real-world assets and artificial intelligence, data trustworthiness is no longer a luxury—it’s a survival prerequisite. The verifiable data layer built by Orochi Network may well become a critical infrastructure in this evolution.
FAQ
Q: How does Orochi Network differ from traditional oracle projects?
Traditional oracles solve the problem of "how to bring data on-chain," while Orochi Network addresses "whether the data is trustworthy." Orochi uses ZKP to generate cryptographic proofs for data, allowing users to independently verify data authenticity and computation correctness—without trusting any intermediary.
Q: How do zero-knowledge proofs verify data without revealing it?
Zero-knowledge proofs allow one party (the prover) to convince another party (the verifier) that a statement is true, without disclosing any additional information. For example, Orochi Network can prove on-chain that an asset’s ownership is genuine and valid, without revealing the owner’s identity or specific asset details.
Q: What are the main application scenarios for Orochi Network?
Orochi Network can be applied to Web3 gaming, DeFi, DePIN, IoT, AI/machine learning model training, RWA tokenization, zero-knowledge applications, and more. The core purpose is to provide verifiable data pipelines for these scenarios.
Q: What role does the ON token play in the Orochi Network ecosystem?
The ON token connects data storage, proof generation, computation verification, node incentives, and community governance, enabling network participants to form a complete economic cycle around trusted data.
Q: What stage has Orochi Network’s verifiable data infrastructure reached?
As of July 2026, Orochi Network has raised a total of $20 million, with investments from Ethereum Foundation and other institutions, integrated with over 55 products, more than 140 projects in the ecosystem, and zkDatabase downloads exceeding 11,100.
