We architect and deploy production-grade smart contracts that are secure by design. Our process includes formal verification, comprehensive unit testing, and third-party audits to ensure your on-chain logic is robust and reliable.
LABS
Services
Mobile AI Inference Node Development
We engineer mobile client software that transforms smartphones into secure, scalable edge AI inference nodes for DePIN networks, enabling on-device analysis and verifiable on-chain result submission.
Chainscore © 2026
overview
CORE SERVICE
Smart Contract Development
Secure, gas-optimized smart contracts built to your exact specifications.
Deliver a secure, audited, and gas-efficient smart contract suite in as little as 2-4 weeks.
- Custom Development:
ERC-20,ERC-721,ERC-1155, custom governance, staking, and DeFi primitives. - Security First: Built with
OpenZeppelinlibraries and patterns, followed by audits from firms like CertiK or Quantstamp. - Gas Optimization: Every line of
SolidityorVypercode is optimized for minimal transaction costs.
key-features-cards
END-TO-END DEVELOPMENT
Core Technical Capabilities We Deliver
We architect and deploy production-ready mobile AI inference nodes, delivering the specialized infrastructure needed to run complex models on-chain with enterprise-grade reliability.
01
On-Device Model Optimization
We specialize in quantizing and compiling large language and vision models (LLMs/VLMs) for mobile execution, reducing model size by 60-80% while maintaining >95% accuracy for on-chain inference tasks.
60-80%
Size Reduction
> 95%
Accuracy Retained
02
Secure Node Orchestration
Deploy and manage a decentralized network of mobile inference nodes with automated load balancing, zero-trust security architecture, and encrypted peer-to-peer communication for private data processing.
Zero-Trust
Security Model
99.5%
Network Uptime
03
Cross-Platform SDK Development
Build custom iOS/Android SDKs and Flutter/React Native modules that seamlessly integrate AI inference capabilities into existing mobile applications, with full support for TensorFlow Lite and PyTorch Mobile.
< 50ms
SDK Latency
iOS & Android
Platform Support
04
Proof-of-Inference Consensus
Implement verifiable compute protocols (zk-SNARKs/STARKs) to cryptographically prove the correctness of AI model inferences executed on mobile devices, enabling trustless settlement on-chain.
zk-SNARKs
Proof System
< 1 KB
Proof Size
05
Real-Time Data Pipeline
Engineer high-throughput data ingestion and preprocessing pipelines that feed sensor and user data from mobile devices into inference nodes with sub-100ms latency for real-time AI applications.
< 100ms
End-to-End Latency
10k+ TPS
Data Throughput
06
Continuous Model Deployment
Establish CI/CD pipelines for over-the-air (OTA) model updates, A/B testing, and canary releases across your node network without requiring app store approvals or user downtime.
< 5 min
Rollback Time
Zero-Downtime
Updates
benefits
DELIVERABLES
Business Outcomes for Your DePIN Project
We deliver production-ready Mobile AI Inference Nodes that accelerate your time-to-market and ensure operational reliability. Our focus is on measurable infrastructure performance and security.
01
Production-Ready Node Software
Deploy a fully containerized, multi-tenant AI inference node with integrated hardware attestation and automated workload orchestration. Built with Rust for performance and security.
< 2 weeks
Deployment Time
99.9%
Uptime SLA
02
Secure Hardware Integration
Our nodes implement TEE (Trusted Execution Environment) attestation for model integrity and secure key management. Includes integration with leading hardware providers like NVIDIA and AMD.
TEE Attestation
Security Standard
Zero-Knowledge
Proof Generation
03
Optimized Inference Performance
Achieve sub-second latency for popular AI models (LLaMA, Stable Diffusion) through custom kernel optimizations, quantization, and GPU memory management tailored for edge devices.
< 500ms
Avg. Inference Time
> 90%
GPU Utilization
04
On-Chain Settlement & Rewards
Automated, verifiable payment rails built on Solana or Ethereum L2s. Includes custom reward distribution smart contracts and real-time analytics dashboards for node operators.
Sub-second
Settlement Finality
< $0.01
Avg. Tx Cost
05
Scalable Node Orchestration
Kubernetes-based management layer for deploying and monitoring thousands of edge nodes globally. Features auto-scaling, health checks, and zero-downtime updates.
10k+ Nodes
Managed Scale
99.95%
API Availability
06
Comprehensive Security Audit
Every deployment includes a final security review covering node software, smart contracts, and network architecture. Delivered with a detailed report and remediation guidance.
Trail of Bits
Audit Partner
Zero Critical
Vulnerability Guarantee
Choose Your Path to Production
Structured Development Packages
Compare our tiered packages for developing, deploying, and managing a production-ready Mobile AI Inference Node. Each package includes a detailed technical architecture, security audit, and performance benchmarks.
| Feature | Starter | Professional | Enterprise |
|---|---|---|---|
Architecture Design & Specification | |||
On-Device Model Optimization (TensorFlow Lite, Core ML) | |||
Secure Model Weights Distribution via Smart Contract | |||
Privacy-Preserving Inference (TEE/HE Integration) | |||
Cross-Platform SDK (iOS/Android/Flutter) | iOS only | iOS & Android | iOS, Android, Flutter |
Performance & Load Testing Suite | Basic | Comprehensive | Comprehensive + Custom |
Smart Contract Audit Report | 1 Review | Full Audit | Full Audit + Formal Verification |
Cloud Relay & Aggregation Layer | |||
Deployment & DevOps Support | Documentation | Guided Setup | Full Managed Deployment |
Monitoring, Alerting & Analytics Dashboard | Basic Metrics | Advanced Dashboard | Custom Dashboard + SLA |
Dedicated Technical Account Manager | |||
Ongoing Maintenance & Updates SLA | Optional Add-on | 24/7 with 4h Response | |
Estimated Timeline | 6-8 weeks | 10-12 weeks | Custom |
Starting Price | $75,000 | $180,000 | Custom Quote |
how-we-deliver
PROVEN METHODOLOGY
Our Development Process for Mobile Edge AI
A systematic, four-phase approach designed to deliver production-ready, high-performance AI inference nodes from concept to deployment.
01
Architecture & Protocol Design
We design the foundational architecture, selecting optimal protocols (e.g., gRPC/WebSockets) and hardware targets (NVIDIA Jetson, Qualcomm) to meet your specific latency, throughput, and cost requirements.
2-4 weeks
Design Phase
3+ Options
Architecture Reviewed
02
Model Optimization & Containerization
Our engineers apply quantization (INT8/FP16), pruning, and compiler optimizations (TensorRT, OpenVINO) to maximize inference speed. We package models into secure, scalable Docker containers for edge deployment.
2-10x
Speedup Achieved
< 100ms
Target Latency
03
Orchestration & Fleet Management
We implement Kubernetes (K3s) or Docker Swarm orchestration for managing node fleets. This includes health monitoring, automated rollouts, and secure OTA updates across thousands of devices.
99.5%
Node Uptime
Zero-Downtime
Updates
04
Security Hardening & Production Deployment
Final phase includes implementing secure boot, encrypted communications (TLS/mTLS), and role-based access control. We manage the full production deployment with comprehensive monitoring and logging integration.
SOC 2
Compliance Ready
24/7
Monitoring
security
CORE SERVICE
Smart Contract Development
Secure, production-ready smart contracts built by expert engineers for Web3 startups and enterprises.
We architect and deploy custom smart contracts that form the secure, immutable backbone of your application. Our development process is built on audited code patterns and gas optimization from day one, ensuring your protocol is both secure and cost-effective to operate.
- Comprehensive Stack:
Solidity/Rust/Vyperdevelopment for EVM, Solana, and other L1/L2 networks. - Security-First: All contracts undergo internal audits against common vulnerabilities before deployment, with optional integration for third-party audits.
- Full Lifecycle: From initial specification and
Hardhat/Foundrytesting frameworks to mainnet deployment and upgrade management via transparent proxies.
Deliver a market-ready, secure protocol in as little as 4-6 weeks, backed by battle-tested development practices.
Technical & Commercial Details
Mobile AI Node Development: FAQs
Get clear answers to the most common questions from CTOs and technical founders about our Mobile AI Node development process, timelines, and security.
A standard, production-ready Mobile AI Node with core inference capabilities and basic monitoring takes 3-4 weeks from kickoff to mainnet deployment. Complex integrations (e.g., custom hardware acceleration, multi-model orchestration, advanced privacy layers) can extend this to 6-8 weeks. We provide a detailed sprint-by-sprint roadmap during the initial technical 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