We architect the foundational layer for your Web3 product. Our consultants translate business goals into technical specifications and roadmaps, ensuring your infrastructure is built for scale from day one.
LABS
Services
ZKML Proof Generation Optimization
We deliver specialized engineering to drastically reduce the computational cost and latency of ZK proof generation for your ML models, enabling real-time, cost-effective verifiable inference.
Chainscore © 2026
overview
STRATEGIC ARCHITECTURE
Blockchain Infrastructure Consulting
Strategic guidance to design, build, and scale secure, production-ready blockchain systems.
- Protocol Selection: Objective analysis of
EVM,Solana,Cosmos, orStarknetfor your specific use case. - Node Strategy: Design for high availability (99.9%+ SLA) and cost efficiency, covering RPC, validators, and indexers.
- Security-First Design: Embed best practices for key management, smart contract upgradability, and audit readiness.
We deliver a clear, actionable blueprint to accelerate development and de-risk your infrastructure investment.
key-features-cards
ENGINEERED FOR PRODUCTION
Our ZKML Proof Generation Optimization Capabilities
We specialize in the end-to-end optimization of ZKML proof systems, delivering production-ready performance, security, and cost efficiency for AI-powered dApps.
benefits
DELIVERABLES & GUARANTEES
Business Outcomes: From Prototype to Product
We translate complex ZKML theory into production-ready systems. Our optimization service delivers measurable performance gains and operational reliability, moving your project from concept to a secure, scalable product.
01
Production-Ready ZK Circuit Optimization
We deliver optimized ZK circuits (Circom, Halo2, Plonky2) with a 50-80% reduction in proof generation time and 30-60% lower verification gas costs. Our focus is on real-world performance for on-chain inference.
50-80%
Faster Proof Gen
30-60%
Lower Gas Costs
02
Secure & Auditable Architecture
Your system is built with security-first principles. We provide a comprehensive audit report and implement formal verification for critical circuits, ensuring trustless execution for high-value DeFi or identity applications.
Formal Verification
Critical Circuits
Comprehensive
Audit Report
03
Scalable Prover Infrastructure
Deploy with confidence. We architect and deploy horizontally scalable prover backends (Rust/Golang) with load balancing, achieving >99.9% uptime SLA and sub-second latency for inference requests at scale.
>99.9%
Uptime SLA
< 1 sec
Inference Latency
04
End-to-End Integration Support
We handle the full stack integration—from your ML model (PyTorch/TensorFlow) to the on-chain verifier contract (Solidity/Cairo). Includes SDKs, documentation, and developer training for your team.
Full Stack
Integration
SDK & Docs
Included
ZKML Proof Generation
Build vs. Buy vs. Optimize
Compare the strategic paths for implementing production-ready ZKML proof generation. Building in-house requires deep expertise, buying generic tools lacks customization, while our optimization service delivers a tailored, secure, and scalable solution.
| Key Factor | Build In-House | Buy Generic Tools | Optimize with Chainscore |
|---|---|---|---|
Time to Production | 6-12+ months | 4-8 weeks | 2-4 weeks |
Initial Development Cost | $250K - $750K+ | $50K - $150K | $75K - $200K |
ZK Circuit Expertise Required | High (Hiring 3-5 specialists) | Low (API user) | None (Our team) |
Proof Generation Speed | Custom (Risk of inefficiency) | Fixed (May not meet needs) | Optimized for your model (< 2 sec) |
Model & Circuit Customization | Full control | Limited to provider's templates | Tailored to your specific ML model |
Security & Audit Burden | Your responsibility (High risk) | Shared (Dependent on vendor) | Our responsibility (Audit reports included) |
Ongoing Maintenance & Upgrades | Full team required | Vendor roadmap | Managed service with SLA |
Integration Support | Your team | Documentation only | End-to-end integration support |
Total Cost of Ownership (Year 1) | $500K - $1.2M+ | $100K - $300K | $150K - $400K |
Recommended For | Large enterprises with unlimited R&D budget | Proof-of-concepts with standard models | Startups & scale-ups launching secure, custom ZKML apps |
how-we-deliver
PROVEN METHODOLOGY
Our ZKML Proof Generation Optimization Process
We accelerate your time-to-market and reduce operational costs through a systematic, four-phase approach to optimizing zero-knowledge machine learning proof systems.
01
Architecture & Circuit Audit
We perform a deep technical analysis of your existing ZK circuits and ML models to identify bottlenecks in proof size, verification time, and prover complexity. This establishes a performance baseline and optimization roadmap.
2-5 days
Initial Audit
30-70%
Typical Efficiency Gain Identified
02
Circuit-Specific Optimization
Our engineers apply targeted techniques like custom gate design, lookup argument integration, and non-native field arithmetic optimization to reduce constraint count and improve prover efficiency for your specific model.
5-15x
Prover Speedup
40-80%
Constraint Reduction
03
Hardware Acceleration Tuning
We configure and benchmark your proof system across GPU (CUDA) and potential FPGA backends, implementing parallelization strategies and memory optimization to maximize hardware utilization and minimize proof generation time.
10-50x
GPU Speedup vs CPU
< 2 sec
Target Proving Time
04
Production Deployment & Monitoring
We deliver a production-ready, containerized proving service with integrated monitoring for proof success rate, latency, and cost. Includes documentation and SLAs for system reliability and performance.
99.9%
Uptime SLA
2-4 weeks
End-to-End Timeline
Service Tiers
ZKML Proof Generation Optimization
Compare our optimization packages for zero-knowledge machine learning proof generation, designed to accelerate inference and reduce costs.
| Optimization Feature | Starter | Professional | Enterprise |
|---|---|---|---|
Custom Circuit Optimization | |||
GPU Acceleration Setup | |||
Multi-Proof Batching | |||
Proof Generation Speed | 2-5x faster | 10-50x faster | 100x+ faster |
Proof Size Reduction | Up to 30% | Up to 70% | Up to 90% |
Supported Frameworks | Circom, gnark | Circom, gnark, Halo2 | All major ZK frameworks |
Integration Support | Documentation | Direct engineering support | Dedicated integration team |
Performance SLA | 99% uptime | 99.9% uptime with penalties | |
Typical Project Scope | Single model | Pipeline of models | Full production system |
Estimated Cost | $15K - $50K | $50K - $200K | Custom Quote |
Technical & Commercial Details
ZKML Optimization FAQs
Get specific answers about our ZKML proof generation optimization service, from timelines and costs to security and support.
A standard ZKML circuit optimization and integration project takes 3-6 weeks from kickoff to production deployment. This includes 1-2 weeks for architecture review and benchmarking, 2-3 weeks for circuit redesign and implementation, and 1 week for testing and final integration. Complex models or custom proving schemes may extend this timeline, which we define in a fixed-scope proposal.
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