We deliver audit-ready, gas-optimized contracts that power your core business logic. Our development process ensures security-first architecture and rapid time-to-market for your product.
LABS
Services
Custom zkML Circuit Design
We engineer specialized zk-SNARK and zk-STARK circuits for complex machine learning operations, optimizing for minimal proof generation time and on-chain verification costs.
Chainscore © 2026
overview
CORE SERVICE
Smart Contract Development
Secure, production-ready smart contracts built by Web3 specialists for FinTechs and crypto startups.
- Custom Logic:
ERC-20,ERC-721,ERC-1155, and bespoke token standards. - DeFi Protocols: Automated Market Makers (AMMs), lending/borrowing pools, staking mechanisms.
- Enterprise Systems: Multi-signature wallets, DAO governance, asset tokenization platforms.
- Security Foundation: Built with OpenZeppelin libraries and formal verification patterns.
From initial concept to mainnet deployment, we provide a full-stack development service with 99.9% uptime SLAs and post-launch support.
key-features-cards
END-TO-END EXPERTISE
Our zkML Circuit Design Capabilities
We architect and implement zero-knowledge machine learning circuits that deliver verifiable AI inference on-chain. Our focus is on performance, security, and seamless integration for your Web3 application.
03
Performance & Gas Optimization
Our circuits are engineered for speed and cost. We achieve sub-2 second proving times for common inferences and reduce on-chain verification gas costs by up to 70% versus baseline implementations.
05
On-Chain Integration
We deliver production-ready Solidity or Cairo verifier contracts, along with a client SDK, for easy integration into your dApp, DeFi protocol, or autonomous agent.
06
Ongoing Support & Scaling
We provide post-deployment support for circuit upgrades and scaling strategies, including trusted setup ceremonies and migration to more efficient proving systems.
benefits
TANGIBLE RESULTS
Business Outcomes of Custom zkML Circuit Design
Our custom zkML development translates complex cryptographic engineering into measurable business advantages, from cost reduction to new revenue streams.
01
Reduced On-Chain Computation Costs
We design circuits that minimize gas consumption by 60-80% for inference tasks, directly lowering your protocol's operational expenses and user transaction fees.
60-80%
Gas Cost Reduction
ZK-SNARKs / STARKs
Optimized Proof System
02
Enhanced Privacy & Data Sovereignty
Enable private AI inferences on sensitive data (e.g., financial records, biometrics) without exposing raw inputs, unlocking compliant DeFi, healthcare, and identity use cases.
Zero-Knowledge
Data Exposure
GDPR / HIPAA
Compliance Ready
03
Faster Proof Generation & Verification
Our optimized circuit architectures and hardware acceleration strategies achieve sub-second verification times, enabling real-time applications like on-chain gaming and high-frequency trading.
< 1 sec
Verification Time
GPU / FPGA
Acceleration Support
04
Scalable & Trustless AI Oracles
Build verifiable off-chain machine learning feeds for DeFi, ensuring tamper-proof price predictions, risk models, and automated strategies with cryptographic guarantees.
99.9%
Uptime SLA
Audited
Circuit Security
05
Proven Integration & Developer Experience
We deliver production-ready circuits with comprehensive SDKs, documentation, and integration support for Ethereum, L2s (zkSync, Starknet), and Solana, reducing your time-to-market.
4-8 weeks
Production Timeline
Full SDK
Included Deliverable
06
Competitive Market Differentiation
Launch unique Web3 products with verifiable AI—from NFT generative art to underwriting models—that competitors cannot replicate without deep zkML expertise.
First-Mover
Advantage
IP Protection
Custom Circuit Design
Strategic Comparison
Custom zkML Circuit Design vs. Generic Frameworks
A detailed comparison of the performance, flexibility, and cost-effectiveness of a custom-built zkML solution versus using off-the-shelf frameworks for production-grade applications.
| Key Factor | Generic Frameworks (e.g., Circom, Halo2) | Chainscore Custom Design |
|---|---|---|
Time to Optimized Circuit | 3-6 months | 4-10 weeks |
Circuit Efficiency (Constraint Count) | High (Generic Templates) | Optimized (30-70% Reduction) |
Proving Time | Slower (Unoptimized) | Faster (Tailored Hardware) |
Proof Size | Larger | Minimized for On-Chain Use |
Flexibility for Unique Logic | Limited | Full Customization |
Integration Complexity | High (Your Team) | Managed (Our Team) |
Security Audit Overhead | Your Responsibility | Included in Delivery |
Ongoing Maintenance Burden | High | Optional SLA Available |
Total Cost of Ownership (Year 1) | $250K-$600K+ | $80K-$200K |
how-we-deliver
PROVEN METHODOLOGY
Our zkML Circuit Design Process
A structured, four-phase approach to deliver production-ready, verifiable machine learning models. We translate your ML logic into efficient, secure, and auditable zero-knowledge circuits.
01
1. Architecture & Feasibility Analysis
We analyze your ML model's architecture (TensorFlow, PyTorch) to design the optimal circuit structure. This includes selecting the right proving system (Plonky2, Halo2, Circom) and estimating proof generation time and costs.
1-2 weeks
Initial Assessment
3+ Options
Architecture Reviewed
02
2. Circuit Implementation & Optimization
Our engineers hand-code the circuit in domain-specific languages (Circom, Cairo), implementing custom constraints for your model's operations. We focus on minimizing circuit size and prover complexity to reduce on-chain verification gas costs.
50-70%
Avg. Gas Reduction
OpenZeppelin
Security Patterns
03
3. Rigorous Testing & Formal Verification
Every circuit undergoes unit testing, integration testing with your application, and formal verification where applicable. We ensure mathematical correctness and functional equivalence to the original ML model.
100%
Test Coverage
Formal Methods
Applied
04
4. Audit, Deployment & Integration
We prepare comprehensive documentation and facilitate third-party security audits (e.g., by Spearbit, Zellic). Finally, we deploy the verified circuit and integrate it with your dApp's frontend and smart contract layer.
Audit-Ready
Deliverables
2-4 weeks
Integration Support
use-cases
INDUSTRY-SPECIFIC SOLUTIONS
Applications for Custom zkML Circuits
Our custom zkML circuits are engineered for specific, high-impact use cases where privacy, verifiability, and on-chain efficiency are non-negotiable. We translate your business logic into optimized zero-knowledge proofs.
01
On-Chain Identity & Reputation
Design private, verifiable identity systems. Enable users to prove credentials (KYC, credit scores, professional licenses) without revealing underlying data, unlocking compliant DeFi and governance.
Deliverables: Custom circuit for selective disclosure, integration with identity registries, and gas-optimized verification contracts.
< 300ms
Proof Generation
ZK-SNARK/STARK
Proof System
02
Private Machine Learning Inference
Deploy proprietary ML models on-chain with privacy. Allow users to submit encrypted data and receive verifiable predictions, enabling confidential AI-driven DeFi strategies, gaming, and analytics.
Deliverables: Circuit for model inference (e.g., neural networks), client-side proving library, and verifier smart contract.
FP16/INT8
Quantization Support
Audited
Model Integrity
03
Fraud Detection & Risk Scoring
Build real-time, verifiable risk engines for DeFi protocols. Process transaction patterns off-chain and submit only a cryptographic proof of a risk score, protecting sensitive heuristics and user data.
Deliverables: Custom fraud detection circuit, real-time data oracle integration, and secure proof relay infrastructure.
> 10k TPS
Data Throughput
< 1 sec
Score Latency
04
Verifiable Randomness & Gaming
Create provably fair RNG and game logic for Web3 gaming and lotteries. Generate unpredictable outcomes with on-chain verifiability, eliminating trust in centralized operators.
Deliverables: Custom VRF (Verifiable Random Function) circuit, game-state transition proofs, and player-verifiable client SDK.
Unpredictable
Randomness Guarantee
Plonk/Halo2
Circuit Backend
05
Confidential DeFi & Auctions
Enable sealed-bid auctions and private transactions. Hide bid amounts and trading strategies until settlement, then provide cryptographic proof of correct execution to all participants.
Deliverables: Auction/bidding logic circuit, privacy-preserving order matching engine, and settlement verifier contract.
zkEVM Compatible
Deployment Target
Gas-Optimized
Verification Cost
06
Supply Chain & Data Provenance
Prove compliance and authenticity in supply chains. Generate zero-knowledge proofs for complex business rules (e.g., "product held below 5°C") without exposing sensitive operational data.
Deliverables: Custom logic circuit for compliance rules, IoT data attestation framework, and immutable audit trail on-chain.
Multi-Party
Data Inputs
Immutable Log
On-Chain Record
Technical FAQs
zkML Circuit Design: Common Questions
Get specific answers about our process, timeline, security, and support for custom zero-knowledge machine learning circuits.
We follow a structured 4-phase process: 1) Discovery & Scoping (1 week): We analyze your ML model and privacy requirements. 2) Circuit Architecture (1-2 weeks): We design the optimal ZK-SNARK/STARK circuit blueprint. 3) Implementation & Testing (2-4 weeks): We write the circuit logic in Circom or Halo2 and run extensive proofs. 4) Deployment & Audit (1-2 weeks): We integrate with your stack and conduct a final security review. We provide a fixed-price proposal after the discovery phase.
ENQUIRY
Get In Touch
today.
Our experts will offer a free quote and a 30min call to discuss your project.
NDA Protected
Confidentiality24h Response
Time to ValueDirectly to Engineering Team
No Sales Fluff10+
Protocols Shipped
$20M+
TVL Overall