We architect and deploy bespoke blockchain networks and dApps that solve specific business problems. Our full-cycle development delivers production-ready systems in 8-12 weeks, from initial design to mainnet launch.
LABS
Services
Privacy-Preserving AI Inference Web App
We build secure, user-friendly web applications for confidential AI services. Your users submit private data and receive inferences without exposing sensitive inputs, leveraging Zero-Knowledge Proofs (ZKPs) or Fully Homomorphic Encryption (FHE) on compatible privacy blockchains.
Chainscore © 2026
overview
FROM CONCEPT TO PRODUCTION
Custom Blockchain Development
End-to-end blockchain solutions built for scale, security, and real-world utility.
- Protocol & Consensus Design: Custom
EVMorSubstrate-based chains, with tailored consensus (PoA, PoS) and governance. - Smart Contract Suites: Secure
Solidity/Rustdevelopment for DeFi, NFTs, and enterprise logic, following OpenZeppelin standards. - Node Infrastructure: Managed validator networks with 99.9% uptime SLAs and multi-cloud redundancy.
- Integration APIs: REST and WebSocket APIs for seamless connection to existing enterprise systems.
We don't just write code; we deliver a complete, audited, and maintainable blockchain product tailored to your exact specifications.
key-features-cards
PRIVACY-FIRST AI INFRASTRUCTURE
Core Technical Capabilities We Deliver
We architect and deploy secure, scalable Web3 applications that enable private AI inference on sensitive data. Our solutions are built for enterprises that require verifiable computation without exposing model inputs or outputs.
benefits
DELIVERABLES & GUARANTEES
Business Outcomes for Your AI Product
We translate technical execution into measurable business advantages, ensuring your privacy-preserving AI app is secure, compliant, and ready for market.
01
Regulatory Compliance by Design
Architected to meet GDPR, CCPA, and HIPAA requirements for data privacy. We implement Zero-Knowledge Proofs and on-chain verification to ensure user data is never exposed, reducing legal risk.
GDPR/CCPA
Compliance Ready
ZK-Proofs
Core Architecture
02
Enterprise-Grade Security Posture
Smart contracts and backend systems undergo formal verification and audits by firms like CertiK or OpenZeppelin. We deliver a security audit report with every deployment.
Formal Verification
Security Standard
Audit Report
Included
03
Scalable, Cost-Efficient Inference
Optimize AI model inference costs by 40-60% using decentralized compute networks (like Akash, Gensyn) or Layer-2 rollups for verifiable computation, with transparent, on-chain billing.
40-60%
Cost Reduction
L2 / Decentralized
Compute Layer
04
Proven User Trust & Adoption
Build verifiable, tamper-proof audit trails for AI outputs. Users can cryptographically verify the integrity and privacy of their inference requests, directly increasing platform trust and retention.
Tamper-Proof
Audit Trail
Cryptographic
Proof of Integrity
05
Faster Time-to-Market
Leverage our pre-audited modular components for ZKML, confidential computing, and token-gated access. Go from concept to private beta in 6-8 weeks, not quarters.
6-8 weeks
To Private Beta
Modular
Pre-Built Components
06
Monetization & Data Sovereignty
Implement transparent, programmable revenue models via smart contracts. Enable users to own and optionally license their encrypted data or model outputs, creating new revenue streams.
Smart Contract
Revenue Models
User-Owned
Data Assets
Choose the Right Path for Your Project
Structured Development Packages
Compare our tiered development packages for building a production-ready, privacy-preserving AI inference application. Each tier includes core smart contract development, with scaling levels of security, support, and infrastructure.
| Feature / Deliverable | Starter | Professional | Enterprise |
|---|---|---|---|
Privacy-Preserving Smart Contracts (ZK/MPC) | |||
On-Chain Inference Verification Layer | |||
Custom AI Model Integration API | Basic | Advanced | Full Custom |
Security Audit & Penetration Testing | 1 Pass | 2 Passes + Fixes | Continuous |
Frontend SDK & Integration Support | Documentation | Guided Setup | Full Integration |
Deployment to Mainnet | |||
Multi-Chain Deployment (e.g., Ethereum, Polygon, Base) | |||
Dedicated Infrastructure & Node Management | 12 Months | 24/7 Managed | |
Post-Launch Support & SLA | Email (5-day) | Priority (24h) | Dedicated Engineer (<4h) |
Estimated Delivery Timeline | 6-8 Weeks | 10-12 Weeks | Custom |
Starting Price | $45,000 | $120,000 | Contact for Quote |
how-we-deliver
PREDICTABLE, TRANSPARENT, AND RESULTS-DRIVEN
Our 4-Phase Delivery Methodology
We deliver your privacy-preserving AI inference application through a structured, milestone-driven process. Each phase has clear deliverables, ensuring transparency, mitigating risk, and guaranteeing a production-ready system that meets your exact specifications.
01
Phase 1: Architecture & Threat Modeling
We define the cryptographic architecture (e.g., ZK-SNARKs, FHE, MPC) and threat model for your AI inference pipeline. This phase establishes the security guarantees, data flow, and technical blueprint, preventing costly redesigns later.
Deliverables: Technical Specification Document, Threat Model Report, Architecture Diagrams.
1-2 weeks
Typical Duration
Zero Redesign
Guarantee
02
Phase 2: Core Protocol & Smart Contract Development
Our engineers build the core privacy-preserving circuits (using Circom, Halo2, etc.) and the on-chain verification/coordination smart contracts. All code follows security-first patterns and is optimized for gas efficiency and verifier performance.
Deliverables: Auditable Circuit Code, Deployed Smart Contracts, Integration SDK.
3-5 weeks
Typical Duration
OpenZeppelin
Security Standard
03
Phase 3: Backend & Frontend Integration
We develop the off-chain prover/coordinator backend and the user-facing web application. This includes secure key management, proof generation orchestration, and a seamless UI/UX for initiating and viewing private AI inferences.
Deliverables: Production-Ready Backend API, Responsive Web App, Admin Dashboard.
2-4 weeks
Typical Duration
99.9% SLA
Prover Uptime
04
Phase 4: Security Audit & Production Deployment
The complete system undergoes a rigorous security audit by our internal review board and optionally a third-party firm. We then manage the deployment to your chosen infrastructure (AWS, GCP, decentralized nodes) and provide comprehensive documentation and handover.
Deliverables: Final Audit Report, Deployment on Mainnet/Testnet, Operational Runbook.
1-3 weeks
Typical Duration
Audit-Ready
Code Quality
tech-stack
ENTERPRISE-GRADE FOUNDATION
Proven Technology Stack
We build on battle-tested, open-source frameworks and protocols to deliver a secure, scalable, and maintainable privacy-preserving AI application. This ensures production reliability and long-term viability for your business.
Privacy-Preserving AI
Frequently Asked Questions
Common questions about building secure, confidential AI inference applications on blockchain.
We implement a multi-layered privacy architecture. Core components include secure multi-party computation (MPC) or fully homomorphic encryption (FHE) for confidential data processing, zero-knowledge proofs (ZKPs) for verifiable inference results without revealing inputs, and on-chain data anchoring for audit trails. We follow OWASP guidelines and conduct formal verification of cryptographic circuits.
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