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Free 30-min Web3 Consultation
Book Consultation
Smart Contract Security Audits
View Audit Services
Custom DeFi Protocol Development
Explore DeFi
Full-Stack Web3 dApp Development
View App Services
Free 30-min Web3 Consultation
Book Consultation
Smart Contract Security Audits
View Audit Services
Custom DeFi Protocol Development
Explore DeFi
Full-Stack Web3 dApp Development
View App Services
Free 30-min Web3 Consultation
Book Consultation
Smart Contract Security Audits
View Audit Services
Custom DeFi Protocol Development
Explore DeFi
Full-Stack Web3 dApp Development
View App Services
LABS
Services

Zero-Knowledge AI Model Verification Development

We design and implement ZK circuits to generate verifiable proofs of AI model integrity, training data provenance, and inference correctness without revealing the underlying model or data, enabling trust in decentralized AI services.
Chainscore © 2026
overview
CORE SERVICE

Smart Contract Development

Secure, production-ready smart contracts built by Web3 experts for your protocol or application.

We architect and deploy custom smart contracts that form the secure, immutable backbone of your application. Our development process is built on audited security patterns and battle-tested frameworks like OpenZeppelin.

From initial concept to mainnet deployment, we ensure your logic is gas-optimized, upgradeable, and secure by design.

  • End-to-End Development: Full lifecycle support from specification and Solidity/Rust coding to testing and deployment.
  • Security-First Approach: Rigorous internal audits, formal verification, and integration with tools like Slither and Foundry.
  • Protocol-Specific Expertise: ERC-20, ERC-721, ERC-1155, custom DeFi primitives, governance modules, and cross-chain bridges.
  • Guaranteed Outcomes: Deliver a production-ready MVP in 2-4 weeks with clear documentation and 99.9% reliability targets.
key-features-cards
ZK-PROVEN AI INFRASTRUCTURE

Core Technical Capabilities We Deliver

We architect and deploy verifiable AI systems that provide cryptographic proof of model integrity and execution, enabling trustless automation for high-stakes applications.

benefits
DELIVERABLES & GUARANTEES

Business Outcomes for Your AI Product

Our Zero-Knowledge AI Model Verification service delivers concrete, measurable results that accelerate your product roadmap and build market trust.

01

Proven Model Integrity

Publicly verifiable ZK proofs that your model's inference outputs are generated by the exact, unaltered model you trained. Eliminates 'model swap' fraud and builds user confidence.

100%
Tamper-Proof
On-Chain
Verification
02

Faster Time-to-Market

Pre-built ZK circuits for common ML frameworks (TensorFlow, PyTorch) and custom circuit development for proprietary models. Deploy verifiable AI in weeks, not months.

2-4 weeks
Integration
Pre-Built
Circuits
03

Reduced Operational Risk

Formally verified ZK circuits and smart contracts audited by leading security firms. Ensure your verification layer is as robust as your core AI.

Formal
Verification
Third-Party
Audits
04

Competitive Market Advantage

Differentiate your AI product with transparent, trustless verification. Attract enterprise clients and regulated industries that demand provable fairness and compliance.

Enterprise
Readiness
Regulatory
Alignment
05

Optimized On-Chain Costs

Gas-efficient proof verification contracts and circuit optimization to minimize the cost of submitting and verifying proofs on Ethereum L2s and other EVM chains.

< $0.10
Avg. Verify Cost
EVM/L2
Compatible
ZKML Verification Solutions

Structured Development Tiers

Compare our service packages for developing and deploying verifiable AI models on-chain, from proof-of-concept to production-grade systems.

Core DeliverablesProof of ConceptProduction ReadyEnterprise Scale

Custom ZK Circuit Design

Model-to-Circuit Compilation

Basic (1-2 layers)

Full (CNN/Transformer)

Full + Custom Ops

On-Chain Verifier Contract

Single Chain (Testnet)

Multi-Chain (Mainnet)

Multi-Chain + Upgradable

Proof Generation SDK/API

Python CLI Tool

REST API + SDKs

Managed API + Client Libraries

Performance Optimization

Basic (≤ 30s proof)

Advanced (≤ 5s proof)

Bespoke (Sub-second target)

Security Audit

Internal Review

Third-Party Audit Report

Third-Party Audit + Formal Verification

Deployment & Integration Support

Documentation

Hands-on Support

Dedicated Engineer

Ongoing Maintenance & Updates

Ad-hoc

6-Month SLA

12-Month SLA with 24/7 Support

Typical Timeline

4-6 weeks

8-12 weeks

Custom (12+ weeks)

Investment Range

$50K - $100K

$150K - $300K

Custom Quote

how-we-deliver
PROVEN METHODOLOGY

Our ZK-AI Development Process

A systematic, security-first approach to building verifiable AI systems. We deliver production-ready ZK-AI models with clear audit trails and measurable performance.

01

Model Architecture & Feasibility Analysis

We assess your AI model's architecture for ZK-circuit compatibility, identifying computational bottlenecks and outlining the optimal proving strategy to minimize verification costs and latency.

2-5 days
Initial Assessment
> 90%
Model Compatibility
02

Circuit Design & ZKP Implementation

Our engineers translate your model logic into optimized Zero-Knowledge circuits using industry-standard frameworks like Circom or Halo2, ensuring correctness and efficient proof generation.

Circom/Halo2
Framework
Gas-Optimized
Circuit Design
03

On-Chain Verification Smart Contracts

We develop and audit custom Solidity verifier contracts that securely validate ZK proofs on-chain, enabling trustless verification of AI inference results for your dApp.

OpenZeppelin
Security Standard
Full Audit
Contract Safety
04

Integration & Performance Optimization

We integrate the complete ZK-AI stack into your application, optimizing proof generation speed and gas costs for production workloads, and provide comprehensive documentation.

< 2 sec
Proof Gen Target
4-6 weeks
Avg. Timeline
use-cases
ZK-PROVEN AI IN PRODUCTION

Target Applications and Industries

Our Zero-Knowledge AI Model Verification service delivers provable trust for AI systems across high-stakes industries, enabling verifiable claims without exposing proprietary data or logic.

01

DeFi & On-Chain Trading

Prove the integrity of AI-driven trading strategies and risk models. Enable transparent, auditable execution for algorithmic trading bots, lending protocols, and portfolio managers while keeping core IP confidential.

Sub-second
Proof Generation
ZK-SNARKs
Proof System
02

Healthcare & Medical Diagnostics

Verify AI diagnostic models for regulatory compliance and patient trust. Generate cryptographic proofs that model outputs adhere to certified training data and approved clinical guidelines, enabling audit trails for FDA submissions.

HIPAA/GDPR
Compliance Ready
FHE-Compatible
Data Privacy
03

Supply Chain & Logistics

Authenticate AI-driven predictions for demand forecasting and route optimization. Provide immutable proof that logistics decisions (inventory, shipping) were made by validated, un-tampered models, reducing disputes and fraud.

99.9%
Model Integrity SLA
Plonk/Groth16
Audit Framework
04

Content Moderation & Trust & Safety

Demonstrate consistent, unbiased AI content moderation. Generate ZK proofs that moderation decisions (flagging, filtering) comply with published platform policies, building user trust and mitigating legal risk.

Real-time
Proof Verification
Open-Source
Circuit Libraries
05

Insurance & Risk Assessment

Enable transparent AI for claims processing and underwriting. Create verifiable attestations that risk scores and payout calculations are derived from fair, compliant models, satisfying regulators and policyholders.

Auditable
Decision Trail
Circom/Halo2
Circuit Development
06

Gaming & Generative AI

Prove fair RNG and unique AI-generated assets. Use ZK proofs to verify that in-game loot, NFT attributes, or generative art outputs are produced by the promised, unaltered AI model, ensuring provable scarcity and fairness.

< 100ms
On-Chain Verify
ERC-6551/721
NFT Integration
ZK AI Verification

Frequently Asked Questions

Common questions from CTOs and technical leaders about developing verifiable AI with zero-knowledge proofs.

From initial design to production-ready deployment, a standard project takes 6-10 weeks. This includes 1-2 weeks for architecture design, 3-5 weeks for circuit development and model integration, and 2-3 weeks for testing, auditing, and deployment. Complex models or custom consensus mechanisms can extend this timeline.

ENQUIRY

Get In Touch
today.

Our experts will offer a free quote and a 30min call to discuss your project.

NDA Protected
24h Response
Directly to Engineering Team
10+
Protocols Shipped
$20M+
TVL Overall
NDA Protected Directly to Engineering Team