We architect and build custom blockchain infrastructure tailored to your business logic. Our full-cycle development delivers production-ready networks, sidechains, and L2 solutions with audited smart contracts and enterprise-grade security.
LABS
Services
zkML DevKit & SDK Creation
We build custom developer toolkits and SDKs that abstract the complexity of zero-knowledge machine learning, enabling your team to integrate verifiable ML models into dApps in weeks, not months.
Chainscore © 2026
overview
FULL-STACK ENGINEERING
Custom Blockchain Development
End-to-end blockchain solutions from protocol design to production deployment.
- Protocol Design: Custom consensus (
PoS,PoA), tokenomics, and governance models. - Core Development: Layer 1 chains,
EVM-compatible sidechains, andzk-Rollup/Optimistic RollupL2s. - Smart Contracts:
Solidity/Rustdevelopment with formal verification and third-party audits. - Node Infrastructure: Managed validators, RPC endpoints, and block explorers.
Go from concept to mainnet in 8-12 weeks with a dedicated engineering pod. We handle the complexity so you can focus on your product.
key-features-cards
TURNKEY INFRASTRUCTURE
What's in Your Custom zkML DevKit
A production-ready toolkit designed for rapid deployment and secure operation of zero-knowledge machine learning applications. We deliver the core components so your team can focus on model innovation.
03
Proving Infrastructure
Managed proving service with horizontal scaling for high-throughput workloads. Includes GPU-accelerated servers for fast proof generation and a verifier smart contract for on-chain validation.
< 2 sec
Avg. Proof Gen
99.9%
Uptime SLA
04
Security & Audit Package
Comprehensive security review of your zkML stack, including circuit logic, trusted setup participation, and smart contract verifiers. Follows best practices from leading audit firms.
05
Model Conversion Tools
Automated toolchain to convert trained TensorFlow/PyTorch models into zk-optimized arithmetic circuits. Handles quantization, constraint system generation, and performance profiling.
06
Deployment & Monitoring
Full CI/CD pipeline with Docker/Kubernetes configurations for your proving network. Includes dashboards for monitoring proof latency, cost, and system health in production.
2 weeks
Avg. Deployment
24/7
Monitoring
benefits
DELIVERABLES
Business Outcomes: From Prototype to Production
We translate complex zkML requirements into production-ready, audited code and developer tools. Our process is designed to de-risk your project and accelerate your time-to-market with enterprise-grade deliverables.
01
Production-Ready SDK & DevKit
Receive a fully documented, modular SDK with TypeScript/Go bindings, CLI tools, and comprehensive examples. We ensure seamless integration with your existing stack, reducing your team's learning curve from months to weeks.
2-4 weeks
Typical Delivery
100%
Code Coverage
02
Audited zk Circuits & Contracts
Every zk-SNARK/STARK circuit and its corresponding on-chain verifier contract undergoes rigorous internal review and optional third-party audit. We deliver with a security-first approach, using proven frameworks like Circom and Halo2.
Zero Critical
Audit Findings
OpenZeppelin
Security Patterns
03
Performance-Optimized Infrastructure
We architect for scale, delivering proof generation systems with sub-5 second latency and verifier contracts optimized for minimal gas consumption. Our solutions are benchmarked against industry standards for cost and speed.
< 5 sec
Proof Gen Time
< 200k gas
Avg. Verify Cost
04
End-to-End Integration Support
Beyond code delivery, we provide integration guides, architectural diagrams, and direct developer support. We ensure your team can own, extend, and operate the system confidently post-handover.
30 days
Post-Launch Support
24/7
Critical Issue SLA
Choose Your Path to Production
zkML Development Tiers
Compare our structured service packages for building and deploying secure, production-ready zkML applications.
| Development Scope | Starter | Professional | Enterprise |
|---|---|---|---|
Custom zkML Circuit Design | |||
SDK & DevKit Creation | |||
Smart Contract Integration (Solidity/Cairo) | |||
Full Security Audit (Including zk) | |||
Performance Optimization & Benchmarking | |||
Dedicated Technical Lead | |||
Deployment & Mainnet Launch Support | |||
Post-Launch Support & Maintenance | 30 days | 90 days | 1 year+ SLA |
Estimated Delivery Timeline | 6-8 weeks | 10-14 weeks | Custom |
Starting Investment | $50K | $150K | Custom |
how-we-deliver
PROVEN METHODOLOGY
Our zkML SDK Development Process
We deliver production-ready zkML tooling through a structured, security-first development lifecycle designed for rapid integration and enterprise-grade reliability.
01
Architecture & Protocol Design
We architect your SDK around your specific use case—privacy-preserving AI inference, verifiable model training, or on-chain governance—selecting optimal proving systems (Plonky2, Halo2, Nova) and integration patterns.
2-4 weeks
Design Phase
3+ Protocols
Evaluated
02
Circuit Development & Optimization
Our engineers write and optimize zero-knowledge circuits for your ML models, focusing on proof generation speed, proof size, and gas efficiency for on-chain verification using frameworks like Circom or Noir.
10-100x
Speed-up Target
< 50 KB
Proof Size Target
03
SDK & API Layer Development
We build idiomatic SDKs (TypeScript, Python, Rust) with clean APIs for proof generation, verification, and model management, abstracting away zk complexity for your application developers.
Full TypeScript
Support
REST & GraphQL
API Options
04
Security Audit & Formal Verification
Every zkML SDK undergoes rigorous security review, including circuit logic audits, cryptographic review, and integration testing to ensure correctness and protect against adversarial inputs.
100%
Audit Coverage
CertiK, Halborn
Audit Partners
05
Performance Benchmarking
We establish performance baselines and SLAs for proof generation time, verification cost, and throughput, providing clear metrics for scaling decisions and capacity planning.
< 2 sec
Proving Target
< $0.05
Verify Cost Target
06
Deployment & Developer Enablement
We deliver comprehensive documentation, integration guides, and sample dApps, and support your team through the launch to ensure successful adoption and troubleshooting.
2 weeks
Integration Support
24/7
Launch SRE
zkML DevKit & SDK Creation
Build vs. Buy: The Chainscore Advantage
Compare the total cost, risk, and time investment of developing a custom zkML infrastructure in-house versus partnering with Chainscore's expert team.
| Factor | Build In-House | Chainscore zkML DevKit |
|---|---|---|
Time to First Proof | 4-8 months | 2-4 weeks |
Core Team Required | 3-5 Senior Engineers | 1-2 Integrators |
Initial Development Cost | $250K - $500K+ | From $75K |
Security & Audit Overhead | High (Manual, Risky) | Built-in (Pre-Audited Circuits) |
Ongoing Maintenance | Full-time DevOps & Research | Managed Updates & Support |
Circuit Library | Build from scratch | Pre-built for Privacy, Identity, Compliance |
SDK & Documentation | Months of dev time | Production-ready, TypeScript/Python |
Total Year 1 Cost | $400K - $800K+ | $100K - $200K |
Key Risk | Project delays, security flaws | Predictable delivery, enterprise SLA |
Technical & Commercial FAQs
zkML SDK Development: Common Questions
Get clear, specific answers to the most common questions our clients ask about building and deploying zero-knowledge machine learning SDKs.
For a production-ready zkML SDK with core proving and verification functions, typical delivery is 4-8 weeks. This includes architecture, circuit development, SDK integration, and security review. A basic proof-of-concept can be delivered in 2-3 weeks. Timelines are based on our experience delivering over 15 zkML projects, and we provide a fixed-scope, fixed-timeline proposal after the initial discovery call.
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