Everyone loves ZK… until they have to implement it.

Complex. Expensive. Slow.

@Delphi_Digital’s latest review explains why @ZKVProtocol, built by @HorizenLabs, is finally making ZK proofs usable at scale.

zkVerify Makes Zero-Knowledge Proofs Practical

Zero-Knowledge Proofs (ZKPs) promise to revolutionize blockchain apps, but complexity, high costs, and slow verification times have prevented projects from using it to its full potential.

@ZKVProtocol simplifies ZKP adoption through its Layer 1 designed for verifying ZKPs at scale.

How zkVerify Solves the Complexity Problem:

1. Universal Proof Verification
zkVerify natively supports multiple ZKP formats including Groth16, Plonk, Fflonk, and STARK-based proofs. zkVerify allows direct verification of any proof system through modular "pallets" built into its runtime.

Devs can select and integrate their ideal proof system without worrying about maintenance and base layer compatibility.

2. Optimized Verification Speeds & Costs
zkVerify optimizes throughput by dedicating its blockchain solely to proof verification.

Benchmarks demonstrate millisecond-level verification speeds, achieving throughput of up to 12.52 proofs per second for Groth16 and 18.25 proofs per second for RISC0 (STARK-based proofs).

3. Cross-Chain Interoperability

Proofs are aggregated into Merkle trees, with their attestations securely relayed to Ethereum or other blockchains.

Smart contracts can retrieve these attestations for proof of verification which simplifies integration and speed up multi-chain deployments.

4. Simplified Developer Experience
zkVerify eliminates the complexity of managing multiple ZKP verifiers. Its Proof Submission Interface and modular design simplify upgrades and integration, helping developers innovate faster.

Real-World Integrations

zkVerify already secured integrations with notable projects, validating its approach across key markets.

@SpaceandTimeDB will leverage zkVerify to cryptographically verify SQL computations instantly and at scale, enabling secure enterprise-level data operations.

@ApeChainHUB (Yuga Labs) will integrate zkVerify into its Curtis Testnet, enabling developers to build expressive games on Apechain with faster computations and improved data privacy.

@pixelvault_ could use zkVerify’s verification capabilities to guarantee provably fair random outcomes for matchmaking and gameplay to enhance user trust and engagement.

zkVerify removes the barriers that have limited the use of Zero-Knowledge Proofs. By simplifying ZKPs at scale, zkVerify paves the way for practical blockchain adoption.