We architect and deploy production-grade blockchain systems tailored to your business logic. Our full-stack approach delivers secure, scalable infrastructure that integrates with your existing tech stack.
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Move-Powered On-Chain Inference Engine
We build verifiable, high-performance AI inference engines on Aptos and Sui using Move. Deploy secure, transparent on-chain models that execute with sub-second latency and cryptographic proof.
Chainscore © 2026
overview
FULL-STACK INFRASTRUCTURE
Custom Blockchain Development
End-to-end blockchain solutions for enterprises, from private networks to public chain integrations.
- Private & Consortium Networks: Deploy permissioned
Hyperledger FabricorEVM-compatible chains with custom governance. - Public Chain Integration: Build secure bridges and oracles for
Ethereum,Polygon,Solana, and other L1/L2 networks. - Node Infrastructure: Managed RPC endpoints, validators, and indexers with 99.9% uptime SLA.
- Smart Contract Layer: Custom
Solidity/Rustdevelopment with formal verification and audit support.
We deliver a complete, audited system—not just code—ensuring your blockchain foundation is enterprise-ready from day one.
key-features-cards
ENTERPRISE-GRADE INFRASTRUCTURE
Engineered for Security and Performance
Our Move-powered inference engine is built on a foundation of provable security and deterministic performance, designed to meet the rigorous demands of production-grade financial applications.
02
Deterministic, Low-Latency Execution
Achieve sub-second inference finality with predictable gas costs. Our engine's architecture minimizes on-chain computation, ensuring consistent performance even under high network load.
< 500ms
Average Inference Time
±5%
Gas Cost Variance
03
Modular & Upgradeable Architecture
Deploy with confidence using a modular design that separates core logic from model parameters. Safely upgrade AI models and business rules via on-chain governance without protocol downtime.
0
Downtime for Upgrades
< 1 hr
Governance Execution
benefits
DELIVERING TANGIBLE ROI
Business Outcomes: From Trust to New Revenue
Our Move-powered on-chain inference engine is engineered to deliver measurable business results. From establishing unbreakable trust to unlocking new revenue streams, we translate technical excellence into your competitive advantage.
01
Provably Fair & Transparent Logic
Deploy AI/ML models where every inference is cryptographically verified on-chain. Eliminate "black box" opacity and build user trust with fully auditable decision-making processes, a critical advantage for DeFi, gaming, and prediction markets.
100%
Verifiable Execution
Sui/Aptos
Native Integration
02
New On-Chain Revenue Models
Monetize proprietary AI models directly on-chain. Create pay-per-inference services, subscription-based model access, or revenue-sharing marketplaces. Our engine handles secure, scalable micropayments natively in Move.
< 1¢
Per Inference Cost
Real-time
Revenue Settlement
03
Reduced Operational Overhead
Replace costly, fragile off-chain oracle setups and centralized API dependencies. Our on-chain engine provides a single, reliable source of truth, slashing maintenance costs and eliminating reconciliation headaches.
90%
Lower Oracle Costs
Zero
API Downtime Risk
04
Faster Time-to-Market
Leverage our battle-tested, audited Move modules and pre-built adapters. Go from concept to production in weeks, not months, with secure, gas-optimized contracts that are ready for mainnet deployment on Sui or Aptos.
2-4 weeks
To Production
Pre-Audited
Core Modules
Architectural Comparison
On-Chain vs. Off-Chain AI Inference: A Clear Choice
A technical breakdown comparing the core trade-offs between traditional off-chain AI and our Move-powered on-chain inference engine for Web3 applications.
| Architectural Factor | Traditional Off-Chain AI | Chainscore On-Chain Engine |
|---|---|---|
Data Provenance & Integrity | Low (trusted oracle required) | High (native on-chain state) |
Inference Verifiability | Impossible to verify | Fully verifiable & auditable |
Latency to On-Chain State | High (oracle polling delay) | Native (< 2 sec finality) |
Development Complexity | High (oracle integration, API mgmt.) | Low (direct Move module calls) |
Security Surface | Large (oracle, API, server attack vectors) | Minimal (inherent Move VM security) |
Cost Predictability | Variable (API fees, gas for oracles) | Fixed & transparent (gas only) |
Censorship Resistance | Vulnerable (centralized API endpoints) | Inherent (decentralized network) |
Time to Integrate | 8-12 weeks | 2-4 weeks |
Typical Use Case | General data feeds, non-critical logic | DeFi risk models, autonomous agents, verifiable gaming AI |
how-we-deliver
A PROVEN 6-STEP FRAMEWORK
Our Development Process: From Model to Mainnet
We deliver production-ready, secure, and scalable on-chain inference engines. Our battle-tested process, refined across multiple AI agent deployments, ensures predictable delivery and enterprise-grade reliability.
01
1. Architecture & Design
We define the optimal on-chain/off-chain split, select the Aptos or Sui Move framework, and design the data flow for your specific AI model. This phase establishes the security model and gas efficiency targets.
Deliverable: Technical specification document and system architecture diagrams.
2-3 days
Design Sprint
100%
Requirement Lock
02
2. Move Smart Contract Development
Our certified Move Prover developers write, test, and iteratively refine the core on-chain logic. We implement custom Move modules for model verification, inference requests, and result settlement with formal verification for critical security properties.
Deliverable: Version-controlled, auditable Move source code.
2-4 weeks
Core Dev Time
Move Prover
Formal Verification
03
3. Off-Chain Orchestrator Build
We develop the high-performance off-chain service that securely fetches on-chain requests, executes your AI model (TensorFlow, PyTorch), and submits verifiable proofs back to the chain. Built for horizontal scaling and 99.9% uptime.
Deliverable: Containerized orchestrator service with load balancing.
< 1 sec
Avg. Inference Time
99.9%
Target Uptime SLA
04
4. Security Audit & Formal Verification
Every line of Move code undergoes rigorous review. We conduct internal audits and partner with leading firms for external scrutiny. The Move Prover formally verifies key invariants, eliminating whole classes of vulnerabilities like reentrancy and overflow.
Deliverable: Audit report and formal verification certificates.
Critical: 0
Guarantee
CertiK, Ottersec
Audit Partners
05
5. Testnet Deployment & Simulation
We deploy the full system to a testnet (Aptos Devnet/Sui Testnet) and execute comprehensive load and economic testing. We simulate high-traffic scenarios and adversarial conditions to validate gas costs, throughput, and system stability under load.
Deliverable: Performance report and gas optimization recommendations.
10k+ TPS
Load Test Target
Full E2E
Integration Tests
06
6. Mainnet Launch & Monitoring
We manage the secure mainnet deployment, configure real-time monitoring with alerts for latency and error rates, and provide ongoing support. We establish health dashboards and incident response protocols from day one.
Deliverable: Live production system with 24/7 monitoring dashboard.
< 4 hours
Deployment Window
24/7
Initial Support
Move-Powered On-Chain Inference
Frequently Asked Questions
Get clear answers on how our specialized MoveVM development delivers secure, high-performance AI inference directly on-chain.
A standard deployment for a custom Move-powered inference engine takes 4-6 weeks from kickoff to mainnet launch. This includes 1 week for requirements and architecture, 2-3 weeks for core Move module development and testing, and 1-2 weeks for integration, final audits, and deployment. More complex models or novel consensus mechanisms can extend this timeline, which we scope and quote for upfront.
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