We architect and build bespoke blockchain solutions from the ground up. Our full-cycle development delivers production-grade smart contracts, custom consensus mechanisms, and enterprise-grade node infrastructure.
LABS
Services
Sui Move ML Model Deployment
We build and deploy production-ready machine learning models directly on the Sui blockchain, enabling scalable, gas-efficient predictive analytics for your decentralized applications.
Chainscore © 2026
overview
FULL-STACK INFRASTRUCTURE
Custom Blockchain Development
End-to-end blockchain development for secure, scalable, and production-ready applications.
Deploy a secure, audited mainnet application in under 6 weeks with our battle-tested development framework.
- Smart Contract Development:
Solidity/Rustcontracts with formal verification and OpenZeppelin security patterns. - Layer-1/Layer-2 Solutions: Custom sidechains,
zk-rollups, andOptimistic rollupsfor scalability. - Node & Validator Operations: Managed infrastructure with 99.9% uptime SLA and multi-cloud redundancy.
- Full-Stack Integration: Seamless APIs,
Web3.js/ethers.jsfrontends, and secure wallet connectivity.
key-features-cards
SUI MOVE ML DEPLOYMENT
Core Technical Capabilities
We deliver production-ready machine learning models on the Sui blockchain, enabling verifiable, on-chain inference for your decentralized applications.
01
Custom Sui Move Smart Contracts
We architect and deploy secure, gas-optimized Move modules to manage your ML model lifecycle—from on-chain storage and versioning to permissioned inference calls. Built with OpenZeppelin security patterns for Sui.
100%
On-Chain Verifiability
Gas-Optimized
Move Bytecode
02
On-Chain Model Integration
Seamlessly integrate pre-trained TensorFlow or PyTorch models into your Sui dApp. We handle the conversion to Move-compatible formats and ensure efficient, tamper-proof execution directly on the blockchain.
TensorFlow
& PyTorch
Tamper-Proof
Execution
03
High-Performance Inference Engine
Deploy a dedicated, scalable off-chain oracle service that performs complex model inferences and submits verifiable results back to the Sui network, balancing cost and computational demand.
< 2 sec
Avg. Inference Time
Scalable
Oracle Network
04
End-to-End Security & Auditing
Our deployment pipeline includes formal verification of Move contracts and third-party audits focusing on model integrity and oracle trustlessness. We ensure your AI logic is as secure as your financial transactions.
Formal Verification
Move Prover
Third-Party Audits
Security Standard
05
Data Pipeline & Oracles
Build robust pipelines for feeding off-chain data to your on-chain models. We implement secure oracles and attestation mechanisms to guarantee the provenance and integrity of input data for inference.
Secure Attestation
Data Provenance
Real-Time
Data Feeds
06
Monitoring & Governance Dashboard
Gain full visibility with a custom dashboard tracking model performance, inference costs, oracle health, and contract activity. Implement upgradeable governance for model parameters and versions.
Real-Time
Performance Metrics
Upgradeable
Model Governance
benefits
DELIVERABLES
Business Outcomes for Your dApp
We translate Sui Move's technical potential into measurable business results. Our deployment service delivers production-ready ML models with enterprise-grade reliability.
01
Production-Ready ML Inference
Deploy on-chain ML models with sub-second inference latency and 99.9% uptime SLA. We handle the full lifecycle from model conversion to gas-optimized Move modules.
< 1 sec
Inference Latency
99.9%
Uptime SLA
02
Secure & Audited Architecture
Built with OpenZeppelin security patterns for Move. Every deployment includes a formal verification report and undergoes a third-party audit by firms like OtterSec or Zellic.
100%
Formal Verification
OtterSec
Audit Partner
03
Accelerated Time-to-Market
Go from concept to mainnet in 3-4 weeks. Our reusable templates and automated CI/CD pipeline for Sui DevNet and Mainnet eliminate months of development overhead.
3-4 weeks
To Mainnet
90%
Code Reuse
04
Cost-Optimized Execution
Reduce gas costs by up to 40% through advanced Move bytecode optimization and strategic storage design. We provide detailed gas profiling and cost forecasts.
40%
Gas Reduction
Full Profile
Cost Forecast
Architecture Decision Matrix
On-Chain vs. Off-Chain ML Inference
A technical comparison of deployment strategies for integrating machine learning models into your Sui Move application, highlighting trade-offs in cost, latency, and decentralization.
| Architecture Factor | On-Chain Inference | Off-Chain Inference | Chainscore Hybrid |
|---|---|---|---|
Model Execution Location | Sui Move VM | Dedicated Cloud Server | Optimized Verifiable Oracle |
Inference Latency | High (5-30 sec) | Low (< 1 sec) | Optimized (< 2 sec) |
Gas Cost per Prediction | High ($0.50-$5.00) | None | Low ($0.05-$0.50) |
Data Privacy | Public (on-chain) | Private (your infra) | Configurable |
Decentralization & Trust | Fully Trustless | Centralized Trust | Cryptographically Verifiable |
Model Complexity Limit | Simple (<= 1MB) | Unlimited | Complex (Verifiable) |
Development Complexity | High | Medium | Managed Service |
Ideal Use Case | Fully On-Chain Games | Internal Analytics | DeFi Risk Oracles, NFT Generation |
Time to Integrate | 8-16 weeks | 4-8 weeks | 2-4 weeks |
Typical Implementation Cost | $80K-$200K+ | $40K-$100K | $25K-$75K |
how-we-deliver
PROVEN METHODOLOGY
Our Deployment Process
A streamlined, security-first workflow designed to get your AI model live on Sui Move in weeks, not months. We handle the complex infrastructure so you can focus on your product.
01
Architecture & Design Review
We analyze your model's requirements to design a secure, gas-efficient Sui Move architecture. This includes defining on-chain vs. off-chain logic, data schemas, and integration points.
1-2 days
Design Sprint
100%
Architecture Review
02
Move Smart Contract Development
Our certified Move Prover developers write, test, and optimize your core smart contracts. We implement security patterns, gas optimizations, and ensure composability with the Sui ecosystem.
Certified
Move Prover
OpenZeppelin
Security Patterns
03
Off-Chain Orchestrator Setup
We deploy and configure the off-chain service layer. This includes model inference servers, secure API gateways, oracle integrations, and event listeners for seamless on-chain/off-chain communication.
99.9%
Uptime SLA
< 50ms
Avg. Inference
04
Security Audit & Formal Verification
Every deployment undergoes rigorous internal review and optional third-party audit. We use the Move Prover for mathematical verification of critical contract properties before mainnet.
Mandatory
Internal Audit
Optional
3rd-Party Audit
05
Testnet Deployment & Simulation
We deploy the full stack to Sui Testnet, executing comprehensive integration tests, load simulations, and user acceptance testing (UAT) to validate performance under real-world conditions.
Full Stack
Integration Test
Real Data
Load Simulation
06
Mainnet Launch & Monitoring
We manage the secure mainnet deployment, configure monitoring dashboards for performance & security alerts, and provide post-launch support to ensure smooth operation.
< 2 weeks
Total Timeline
24/7
Post-Launch Support
Sui Move ML Deployment Packages
Typical Project Timeline & Deliverables
Structured delivery phases and outcomes for deploying machine learning models on the Sui blockchain.
| Phase & Deliverables | Starter (4-6 Weeks) | Professional (8-12 Weeks) | Enterprise (12-16+ Weeks) |
|---|---|---|---|
Sui Move Smart Contract Development | |||
On-Chain ML Model Integration | Basic Inference | Full Training/Inference Loop | Custom ZKML/Privacy Features |
Security Audit & Formal Verification | Automated Scan | Manual Review + CertiK/Quantstamp | Full Audit + Ongoing Monitoring |
Frontend/API Integration | Basic Demo UI | Production-Ready SDK & API | White-Label Dashboard & Custom Integrations |
Performance Optimization | Gas Efficiency Review | Horizontal Scaling Design | Custom MoveVM Optimizations |
Deployment & DevOps | Testnet Deployment | Mainnet Launch Support | Multi-Region Validator Setup |
Post-Launch Support | 30 Days | 90 Days + SLA | Dedicated Engineer + 24/7 SLA |
Typical Project Investment | $50K - $80K | $120K - $200K | $300K+ (Custom Quote) |
Sui Move ML Deployment
Frequently Asked Questions
Get clear answers on timelines, costs, and technical details for deploying machine learning models on the Sui blockchain.
A standard deployment, from model preparation to on-chain integration, takes 2-4 weeks. This includes model optimization for zkML, smart contract development, and full testing. Complex models with custom oracles or advanced privacy features may extend to 6-8 weeks. We provide a detailed project plan within the first 3 days of engagement.
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