In a world of black-box AI

We Make Trust Provable

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What's Broken in AI Today

AI systems today operate in a black box

Trust in AI is eroding: users and regulators demand accountability, but companies risk their IP to prove it.

Privacy risks in training and inference

Privacy risks in training and inference

Model misuse, deepfakes, and authenticity uncertainty

Model misuse, deepfakes, and authenticity uncertainty

Growing regulatory pressure for transparency

Growing regulatory pressure for transparency

ZK Brings Verifiable Trust to AI

Zero-knowledge (ZK) proofs are cryptographic methods that let one party prove something is true without revealing any underlying data. They enable privacy, security, and trust. zkVerify brings a powerful layer of trust: You can prove key facts about your AI - how it was trained, how it behaves, and how it's governed, without revealing sensitive data, proprietary models, or confidential inputs.

Private Model Training

Hospitals, banks, or research labs can train models on private data and use zkVerify to validate training integrity without ever exposing the raw data.

Example: HIPAA-compliant federated learning across borders.

Secure Model Inference

zkVerify enables encrypted AI predictions—patients, clients, or governments can use AI without ever sharing raw inputs.

Example: Encrypted cancer diagnosis proof without revealing patient data.

AI Model Provenance & Fairness

Prove your model was trained on unbiased datasets or adheres to ethics protocols—without giving away IP.

Example: ZK-based model logs showing compliance with fairness rules.

Agent Autonomy with Governance

Enable autonomous AI agents to make decisions, negotiate, or transact—while complying with encoded rules validated on zkVerify.

Example: On-chain agents that can prove compliance before executing deals.

Building Verifiable AI at Scale

Universal Accessibility

Supports any proof systems: SNARKs, STARKs, Groth16, Halo2, Plonk, Fflonk, UltraPlonk - no lock-in.

Ultra-fast Verification

Hardware-accelerated proof validation in milliseconds.

Cost-Efficient & Scalable

10x cost savings vs. L1s like Ethereum.

Verifier-as-a-Service

Plug AI proofs into any Web2 or Web3 app using Rust-native verifiers.

Future-proof Design

A modular architecture that evolves with the future of AI and ZK, ensuring long-term relevance.

We provide the rails. You drive AI forward.

Building the Future of AI, Together

zkVerify is enabling the next generation of AI developers, institutions, and open-source builders to bring trust, privacy, and compliance into AI, without sacrificing speed or control.