We architect and deploy production-ready smart contracts for DeFi, NFTs, and enterprise applications. Our process ensures audit-ready code from day one, built on Solidity 0.8+ with OpenZeppelin security patterns.
LABS
Services
AppChain for Vertical AI Solutions
We design and build custom application-specific blockchains (AppChains) tailored to the unique data privacy, regulatory compliance, and computational demands of your industry's AI models.
Chainscore © 2026
overview
SECURE FOUNDATIONS
Custom Smart Contract Development
Build secure, gas-optimized smart contracts tailored to your specific business logic.
- Custom Tokenomics: Design and implement
ERC-20,ERC-721, orERC-1155tokens with custom minting, vesting, and governance logic. - Gas Optimization: Achieve up to 40% lower transaction costs through meticulous code review and optimization.
- Security-First: Every contract undergoes internal audits against common vulnerabilities before deployment to mainnet.
We deliver battle-tested contracts that power your core product, not just a one-time deployment. Our modular approach allows for rapid iteration and future upgrades.
key-features-cards
BUILT FOR SCALE
Engineered for Vertical AI Demands
Our AppChain infrastructure is purpose-built to meet the unique computational, data, and economic requirements of AI applications. We deliver the performance, security, and flexibility your vertical AI solution demands.
01
High-Throughput AI Inference
Dedicated blockchain compute for on-chain AI agents and verifiable inference. Achieve sub-second transaction finality to power real-time AI interactions without network congestion.
< 1 sec
Finality
10,000+
TPS Capacity
02
Secure Data Provenance
Immutable audit trails for training data, model weights, and inference results. Leverage zero-knowledge proofs for privacy-preserving verification, ensuring compliance and trust in your AI's outputs.
ZK-Proofs
Privacy Layer
Immutable
Audit Trail
03
Custom Economic Models
Design tokenomics and fee structures tailored to your AI ecosystem. Implement pay-per-inference, staking for model access, and revenue-sharing mechanisms natively on-chain.
ERC-20/721
Token Standards
Gasless
User Options
05
Enterprise-Grade Security
Foundation secured by formal verification and audits from leading firms like Trail of Bits. Includes multi-sig governance, rate limiting, and real-time threat monitoring for production AI workloads.
Formal Verification
Security Standard
24/7
SOC Monitoring
06
Managed Infrastructure
Fully managed RPC endpoints, block explorers, and indexers with 99.9% uptime SLA. We handle node operations, upgrades, and scaling so your team can focus on core AI development.
99.9%
Uptime SLA
< 2 weeks
Deployment Time
benefits
DELIVERED BY YOUR APPCHAIN
Business Outcomes for Your AI Product
Move beyond theoretical AI models to a production-ready, monetizable product. Your dedicated AppChain provides the secure, scalable, and sovereign infrastructure required to turn AI innovation into sustainable business value.
01
Monetize AI Inference
Deploy a native token economy to charge for AI inference, model access, or data queries directly on-chain. Eliminate reliance on traditional payment processors and unlock new revenue streams with programmable, automated settlements.
< 0.1 sec
Settlement Time
0%
Revenue Leakage
02
Protect Model IP & Data
Your model weights, training data, and proprietary algorithms remain on your sovereign chain. Implement verifiable compute with zero-knowledge proofs for trustless execution without exposing your core IP to public networks.
100%
Data Sovereignty
ZK-Proofs
Verifiable Compute
03
Scale to Enterprise Demand
Achieve predictable, low-cost transactions isolated from public network congestion. Your AppChain provides dedicated throughput for AI workloads, ensuring sub-second finality and consistent performance under high load.
10,000+
TPS Capacity
$0.001
Avg. Tx Cost
04
Accelerate Time-to-Market
Launch your AI product in weeks, not years. We provide a production-ready AppChain framework with built-in token standards, governance, and security modules, allowing your team to focus on AI logic, not blockchain plumbing.
< 4 weeks
To MVP
Pre-audited
Core Modules
05
Enable Verifiable AI
Build trust with users and regulators by providing cryptographic proof of model execution and data provenance. Every AI inference is an immutable, auditable on-chain event, creating a transparent and accountable system.
Immutable
Audit Trail
On-chain
Provenance
06
Future-Proof Architecture
Maintain full control over your tech stack with the ability to fork, upgrade, and customize your chain's consensus, fee market, and virtual machine. Avoid vendor lock-in and adapt to new cryptographic primitives as they emerge.
100%
Ownership
EVM+
Flexible VM
Infrastructure Decision Matrix
AppChain vs. Generic Layer-1: A Strategic Choice for AI
A direct comparison of infrastructure models for deploying and scaling AI agents, models, and data marketplaces on-chain. Evaluate based on performance, control, and long-term viability.
| Key Consideration | Generic Layer-1 (e.g., Ethereum, Solana) | Custom AppChain for AI |
|---|---|---|
Compute & Gas Cost Predictability | Volatile, market-driven; high cost for complex AI ops | Fixed, tunable; optimized for AI transaction patterns |
Throughput for AI Workloads | Shared, contended; subject to network congestion | Dedicated, scalable; designed for high-frequency agent interactions |
Data Privacy & Sovereignty | Public by default; all data on shared ledger | Configurable privacy; sovereign chain for proprietary models/data |
Governance & Upgrade Agility | Slow, consensus-dependent; hard forks required | Instant, team-controlled; rapid iteration on AI logic |
Time to Custom Consensus | Not possible; locked to base layer rules | Fully possible; tailor consensus for AI verification (e.g., Proof-of-Inference) |
Integration with Off-Chain AI | Complex, reliant on oracles with latency | Native; direct, secure bridges to off-chain compute clusters |
Typical Time to Production | Weeks (for dApp deployment) | 4-8 weeks (for full chain deployment and tooling) |
Year 1 Total Cost of Ownership | High, variable gas + development overhead | Predictable, often 30-50% lower than L1 operational costs |
how-we-deliver
FROM STRATEGY TO PRODUCTION
Our Proven AppChain Delivery Framework
A systematic, four-phase approach to deliver a production-ready, high-performance AppChain for your AI vertical. We de-risk development and accelerate your time-to-market with predictable outcomes.
01
Architecture & Consensus Design
We architect your AppChain's core: selecting the optimal consensus mechanism (e.g., Tendermint, Avalanche Subnet) and designing the data availability layer for your AI workload. This ensures high throughput and low-latency inference.
< 1 sec
Block Time Target
10K+ TPS
Scalability Design
02
Custom Smart Contract Suite
Development of core protocol logic: AI model licensing, verifiable compute proofs, and tokenized incentive mechanisms. Built with Solidity or CosmWasm, following OpenZeppelin standards and gas-optimized patterns.
100%
Coverage Audit
OZ Standards
Security Base
03
Validator & Node Deployment
Full lifecycle management of your network's infrastructure. We provision, configure, and secure validator nodes with automated monitoring, key management, and high-availability setups on AWS/GCP.
99.9%
Uptime SLA
24/7
Monitoring
04
Integration & Go-Live
Seamless integration of your AppChain with existing AI pipelines, front-end applications, and cross-chain bridges (e.g., Axelar, LayerZero). We manage the genesis ceremony and provide post-launch support.
2-4 weeks
Deployment Time
Full Docs
Handover
For AI & Machine Learning Teams
AppChain Development: Key Questions Answered
Clear, technical answers to the most common questions from CTOs and product leaders evaluating custom blockchain infrastructure for their AI solutions.
A standard AppChain deployment for an AI solution takes 4-8 weeks from technical specification to mainnet launch. This includes 1-2 weeks for architecture design and consensus mechanism selection, 2-4 weeks for core development and smart contract integration, and 1-2 weeks for security audits, testnet deployment, and final launch preparation. Complex integrations with existing AI model pipelines or custom privacy layers may extend the timeline, which we scope and commit to during the initial discovery phase.
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