zkDatabase turns every row in a database into a self-verifying asset. Regulators, partners, and on-chain programs now trust the math, not the operator. With Zero-Knowledge Proof and Proof-Carrying Data we allow the whole dataset to be verifiable in realtime at a minimal cost (< 500ms).

Pain Points

1. Data consumers can not verify authenticity/integrity of the data that leads to fraud and manipulation at the data source. *Let’s take Hyperliquid as an example. A trader shorted 430 million JELLYJELLY tokens, causing a $140 million USDC outflow and significant HLP vault losses. Hyperliquid manipulated their Decentralized Oracle to force liquidate trader’s position. This incident was highlighting oracle pricing and insurance mechanism weaknesses despite Hyperliquid’s audited smart contracts and HyperBFT consensus.

Data providers are always able to manipulate data source without any restriction that reminded us, many Decentralized Protocols build on top on fraud and corrupted.* 2. Data verification inefficiently, in traditional Database Management System (DBMS) The verification process in traditional database management systems (DBMS) incurs costs primarily due to the computational and resource-intensive tasks involved in ensuring data integrity, consistency, and security. These tasks include validating data against predefined constraints, running complex queries for consistency checks, and performing authentication or access control to prevent unauthorized access. This process would cost several hours or day to verify. 3. Lack of security/guarantee in the interoperability Cross-communication between different systems without Proof-Carrying Data (PCD) is risky because it lacks a mechanism to cryptographically verify the integrity and correctness of data exchanged across systems. Without PCD, systems must trust incoming data, which can be manipulated or corrupted, leading to errors, security breaches, or unauthorized actions.

Why This Market Is Compelling

At Orochi, we see three concentric circles of spend converging on the same pain points — Provable Data Integrity:

1. Core cryptography tools: Zero-Knowledge Proofs (ZKPs), Proof-Carrying Data (PCD), Fully Homomorphic Encryption (FHE).
2. Data pipelines & databases: the budgets zkDatabase can replace or augment.
3. Regulated, trust-craving verticals: finance, critical IoT, identity, and RegTech, where proof requirements are exploding.
4. Data bridge for blockchains: Securing cross-chain interoperability with Proof-Carrying Data.
5. Replace the need of Oracle: zkDatabase can do better than what Oracle did, with cryptographically verifiable outcome.
6. Unlimited off-chain storage: Allowing on chain system to access unlimited amount of data securely.

Together those circles already exceed $120B in annual spend and are compounding faster than general IT.

We believe that the broad adoption of zkDatabase is inevitable

Initially we see core limitation of current Web2 databases.

Traditional relational or NoSQL systems protect data with access controls, encryption at rest, replication, and audit logs. Those measures secure availability and confidentiality, but they do not produce an independently verifiable guarantee that:

1. Every record originated from an authenticated source.
2. Every update followed defined rules.
3. Every query result reflects the authorised state at the time of the request.