We deliver audit-ready smart contracts in Solidity, Rust, or Cairo that power your core business logic. Our development process is built on OpenZeppelin standards and includes comprehensive unit and integration testing.
LABS
Services
Enterprise ZKML System Integration
Seamlessly integrate zero-knowledge machine learning into your existing enterprise infrastructure. We ensure compatibility, scalability, and alignment with your specific business processes.
Chainscore © 2026
overview
CORE SERVICE
Smart Contract Development
Secure, production-ready smart contracts built for scale and compliance.
- Custom Tokenomics: Design and implement
ERC-20,ERC-721, or novel token standards. - DeFi Protocols: Build secure lending pools, DEXs, and yield strategies.
- Enterprise Logic: Complex multi-signature wallets, vesting schedules, and governance modules.
- Gas Optimization: Code reviews to reduce transaction costs by 15-40%.
From a 2-week MVP to a full protocol suite, we ensure your contracts are secure, efficient, and ready for mainnet deployment.
key-features-cards
FULL-STACK IMPLEMENTATION
Our ZKML Integration Capabilities
We deliver production-ready ZKML systems that integrate seamlessly with your existing infrastructure, enabling private, verifiable on-chain AI without compromising performance.
01
Custom Circuit Design & Optimization
We design and implement ZK circuits tailored to your specific ML model, optimizing for minimal proof generation time and on-chain verification cost using frameworks like Circom and Halo2.
10-100x
Proof Speedup
< 5KB
Avg. Proof Size
02
Model-to-Circuit Compilation
Automated pipeline to convert trained TensorFlow/PyTorch models into verifiable ZK circuits, ensuring mathematical equivalence and preserving model accuracy.
24-48 hrs
Pipeline Runtime
> 99%
Accuracy Preservation
03
On-Chain Verifier Deployment
Deployment of gas-optimized verifier smart contracts on Ethereum, Polygon, or other EVM chains, with sub-second verification and predictable cost structures.
< 1 sec
Verification Time
< $0.50
Avg. Gas Cost
05
Prover Infrastructure & Orchestration
Scalable, cloud-agnostic backend services for proof generation, featuring GPU acceleration, queue management, and 99.9% uptime SLAs for critical inference workloads.
99.9%
Uptime SLA
< 2 sec
P90 Latency
benefits
DELIVERABLES
Business Outcomes of Integrated ZKML
Our enterprise ZKML system integration delivers verifiable, production-ready machine learning, translating cryptographic innovation into measurable business results.
01
Privacy-Preserving Model Inference
Execute sensitive ML models on encrypted data with zero-knowledge proofs, enabling compliance with GDPR/CCPA and unlocking new data monetization strategies without exposing raw inputs.
Zero
Data Exposure
Full
Regulatory Compliance
02
On-Chain Verifiable Predictions
Generate and verify ML predictions directly on-chain for DeFi risk scoring, NFT rarity, or gaming logic. We deliver sub-2 second proof generation for real-time dApp integration.
< 2 sec
Proof Generation
100%
On-Chain Verifiability
03
Reduced Operational Overhead
Replace costly, centralized oracle networks and manual verification with automated, trustless ZK proofs. We architect systems that cut operational costs by up to 70% for high-frequency prediction markets.
Up to 70%
OpEx Reduction
Automated
Verification
04
Enhanced Security & Auditability
Every inference is cryptographically proven, creating an immutable audit trail. We implement with industry-standard ZK backends (Halo2, Plonky2) and security-first design patterns.
Immutable
Audit Trail
Halo2/Plonky2
Proven Backends
05
Faster Time-to-Market
Leverage our pre-audited ZK circuit libraries and integration frameworks. We deliver a production-ready ZKML pipeline in 6-8 weeks, not quarters, for a competitive edge.
6-8 weeks
To Production
Pre-Audited
Circuit Libraries
06
Scalable Proof Infrastructure
Deploy with horizontally scalable prover networks we manage, ensuring 99.9% uptime for critical applications. We handle the infrastructure complexity so you focus on your core product.
99.9%
Uptime SLA
Horizontally
Scalable
how-we-deliver
PROVEN FRAMEWORK
Our Integration Methodology
A structured, four-phase approach to ensure your ZKML system is secure, scalable, and delivers measurable business value from day one.
01
Architecture & Feasibility Review
We analyze your existing data pipelines and ML models to design a privacy-preserving ZK circuit architecture. This phase defines the technical scope, identifies optimal proving systems (e.g., Halo2, Plonky2), and establishes key performance benchmarks.
2-3 weeks
Technical Specification
100%
Model Compatibility Review
02
Secure Circuit Development
Our team implements verifiable computation logic using Circom or Noir, focusing on gas efficiency and proof generation speed. We integrate with your existing ML stack (PyTorch, TensorFlow) and apply security patterns to prevent cryptographic vulnerabilities.
< 5 sec
Target Proof Time
OpenZeppelin
Security Standards
03
On-Chain Integration & Testing
We deploy and integrate the ZK verifier contract on your target chain (Ethereum, Polygon, zkSync). This includes comprehensive testing: unit tests, integration tests with your dApp frontend, and stress tests under mainnet conditions.
99.9%
Test Coverage
< 1 week
Deployment Cycle
04
Production Monitoring & Optimization
Post-launch, we provide monitoring dashboards for proof success rates, gas costs, and system health. We offer ongoing optimization services to reduce operational costs and update circuits as your ML models evolve.
24/7
System Monitoring
> 30%
Avg. Gas Reduction
Strategic Decision Analysis
Build vs. Buy vs. Partner with Chainscore
A detailed comparison of the cost, time, and risk profiles for implementing a production-grade ZKML system, helping technical leaders make an informed infrastructure decision.
| Key Factor | Build In-House | Buy Generic SDK | Partner with Chainscore |
|---|---|---|---|
Time to Production | 6-12+ months | 3-6 months | 4-8 weeks |
Initial Development Cost | $250K - $750K+ | $50K - $150K | $75K - $200K |
ZK Circuit Expertise Required | Expert (Hire team) | High (Your team learns) | None (We provide) |
Security & Audit Burden | High (Your responsibility) | Medium (Depends on vendor) | Low (Fully audited system) |
Custom Model Integration | Full control | Limited by SDK | Tailored to your use case |
Ongoing Maintenance & Upgrades | Your team's full-time cost | Vendor updates, your integration | Managed service with SLA |
Prover Performance (TPS) | Variable (R&D phase) | Generic optimization | Optimized for your workload |
Multi-Chain Deployment | Custom per chain | Often limited | Ethereum, Polygon, zkSync, Scroll |
Total Cost of Ownership (Year 1) | $500K - $1.2M+ | $150K - $300K | $120K - $250K |
Strategic Outcome | High risk, core IP | Vendor lock-in, generic solution | Speed to market, custom solution |
Technical & Commercial Questions
Enterprise ZKML Integration FAQs
Answers to the most common questions CTOs and technical founders ask when evaluating a ZKML integration partner.
Our standard integration timeline is 4-8 weeks, depending on model complexity and target blockchain. A typical engagement includes 1 week for architecture design, 2-4 weeks for circuit development and optimization, 1 week for security review, and 1-2 weeks for deployment and testing. We provide a detailed Gantt chart during the proposal 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