We architect, develop, and audit custom Solidity/Rust smart contracts that form the unbreakable foundation of your project. Our code is built with OpenZeppelin standards, gas optimization, and comprehensive security in mind from day one.
LABS
Services
Verifiable Federated Learning Setup
We design and implement decentralized federated learning systems where multiple parties collaboratively train a model, with zero-knowledge proofs verifying contributions without exposing private data.
Chainscore © 2026
overview
CORE SERVICE
Smart Contract Development
Secure, production-ready smart contracts built by Web3 experts for your protocol or application.
Deliver a secure, audited, and fully functional smart contract suite in as little as 4-6 weeks.
- Protocol Development: DeFi primitives (DEX/AMM, lending/borrowing), NFT collections (
ERC-721A), tokenomics (ERC-20with vesting). - Security-First Process: Multi-stage review, automated testing (
Hardhat/Foundry), and pre-audit readiness for firms like CertiK or Quantstamp. - Full Ownership & Deployment: You receive all source code, documentation, and support for deployment on Ethereum, Polygon, Solana, or other L1/L2 networks.
key-features-cards
END-TO-END FEDERATED LEARNING INFRASTRUCTURE
Core Technical Capabilities
We architect and deploy secure, production-ready federated learning systems with verifiable on-chain integrity, enabling you to build collaborative AI models without exposing raw data.
01
Privacy-Preserving Model Orchestration
Deploy secure aggregation servers and client-side training scripts that ensure raw user data never leaves the local device. We implement differential privacy and secure multi-party computation (SMPC) techniques to guarantee participant anonymity.
Zero-Trust
Data Model
SMPC
Aggregation
02
On-Chain Verification & Auditing
Anchor model training rounds, participant contributions, and final aggregated weights to a blockchain (Ethereum, Polygon, Solana). We build smart contracts for immutable logging, proof-of-contribution, and automated incentive distribution.
Immutable Logs
Audit Trail
Automated
Incentive Payouts
03
Cross-Platform Client SDKs
We provide lightweight, audited SDKs for iOS, Android, and Web environments. SDKs handle secure local training, encrypted gradient submission, and seamless wallet integration for credential management and reward claims.
iOS/Android/Web
Platform Support
< 5MB
SDK Footprint
04
Production-Grade Infrastructure
Managed Kubernetes clusters for aggregation servers with 99.9% uptime SLA. Includes monitoring, automatic scaling, disaster recovery, and DDoS protection to ensure your federated learning network is always available.
99.9%
Uptime SLA
Kubernetes
Orchestration
05
Custom Incentive Mechanism Design
Design and implement tokenomics and reward smart contracts tailored to your use case. We create systems for staking, slashing, and fair reward distribution based on verifiable data quality and contribution metrics.
Custom
Tokenomics
Quality-Based
Rewards
06
Security Audits & Compliance
Our architecture and code undergo rigorous security reviews. We provide audit reports from firms like CertiK or Quantstamp and ensure compliance with frameworks relevant to handling sensitive data (e.g., GDPR principles through data localization).
Third-Party
Security Audits
GDPR-Aligned
Design
benefits
DELIVERABLES
Business Outcomes for Your Consortium
Our Verifiable Federated Learning Setup delivers measurable infrastructure improvements, enabling your consortium to focus on model innovation while we guarantee security, compliance, and performance.
01
Provably Private Model Training
Deploy a fully private, on-premise or cloud-based FL framework where data never leaves member nodes. We implement cryptographic proofs (zk-SNARKs) to verify computation integrity without exposing raw data.
Zero-Trust
Data Architecture
zk-SNARKs
Verification Layer
02
Regulatory & Audit-Ready Compliance
Built-in compliance for GDPR, HIPAA, and financial regulations. We deliver a complete audit trail of all federated rounds, model updates, and participant contributions with tamper-proof logging.
GDPR/HIPAA
Compliance Built-in
Immutable Logs
Audit Trail
03
High-Performance Aggregation Layer
Optimized aggregation servers with support for Secure Multi-Party Computation (SMPC) and differential privacy. Achieve sub-2-second global model updates across 100+ participating nodes.
< 2 sec
Aggregation Time
SMPC
Security Protocol
04
Consortium Governance & SLAs
Turnkey governance dashboard for managing members, model versions, and incentives. We back the core infrastructure with a 99.9% uptime SLA and 24/7 monitoring.
99.9%
Uptime SLA
24/7
Infra Monitoring
05
Faster Time-to-Production
Go from concept to a fully operational, multi-party FL network in under 4 weeks. Our battle-tested frameworks and deployment automation eliminate months of R&D and integration work.
< 4 weeks
Deployment Time
Automated
Node Onboarding
06
Reduced Operational Overhead
We handle the complexity of node coordination, fault tolerance, and version management. Our managed service reduces your DevOps burden by an estimated 70%, letting your team focus on AI/ML.
70%
Ops Reduction
Managed Service
Delivery Model
Structured Scaling for Your VFL Network
Phased Implementation Tiers
Choose the implementation path that matches your project's scale, from initial proof-of-concept to a production-grade, multi-party network.
| Feature | Starter | Professional | Enterprise |
|---|---|---|---|
VFL Smart Contract Suite | |||
On-Chain Aggregation Logic | Basic (Mean) | Advanced (FedAvg, Secure) | Custom Algorithms |
Off-Chain Client SDKs | Python | Python, TypeScript | Python, TypeScript, Rust |
Supported Privacy Frameworks | Differential Privacy | Differential Privacy, HE (Paillier) | DP, HE, MPC (Custom) |
Participant Node Setup | Up to 5 | Up to 20 | Unlimited (Custom Architecture) |
Initial Security Audit | Automated Scan | Manual Review + Report | Comprehensive Audit + Formal Verification |
Deployment & Integration Support | Documentation | Guided Setup | Dedicated Engineer |
Monitoring & Alerting | Basic Logs | Dashboard + Alerts | 24/7 SRE with SLA |
Model Update Cadence | Manual | Scheduled Orchestration | Fully Automated Pipeline |
Implementation Timeline | 2-4 weeks | 6-10 weeks | 12+ weeks (Custom) |
Ongoing Support | Community | Business Hours | 24/7 Dedicated Slack & On-Call |
Starting Price | $25K | $80K | Contact for Quote |
how-we-deliver
PROVEN PROCESS
Our Delivery Methodology
Our structured, four-phase approach ensures your verifiable federated learning system is delivered on time, secure by design, and ready for production. We focus on measurable outcomes, not just technical delivery.
01
Architecture & Protocol Design
We design a custom federated learning architecture tailored to your data privacy requirements and compute constraints. This includes selecting the optimal on-chain verification protocol (e.g., zk-SNARKs, zk-STARKs) and defining the incentive mechanism for data contributors.
1-2 weeks
Design Sprint
3+
Architecture Options
02
Secure Model & Smart Contract Development
Our team builds the core federated learning model and the accompanying on-chain verifier smart contracts. We implement privacy-preserving aggregation and leverage libraries like OpenZeppelin for security, ensuring the system's integrity is cryptographically guaranteed.
100%
Code Coverage
OpenZeppelin
Security Standard
03
Integration & Node Deployment
We deploy and configure the federated learning nodes (trainers and aggregators) within your infrastructure or a managed cloud environment. We handle the full integration with your existing data pipelines and the chosen blockchain (Ethereum, Polygon, Arbitrum).
< 72 hours
Node Spin-up
99.5% SLA
Node Uptime
Verifiable Federated Learning
Frequently Asked Questions
Get clear answers on our process, security, and outcomes for enterprise-grade federated learning systems.
A complete, production-ready setup typically takes 4-8 weeks. This includes a 1-week discovery and architecture design phase, 2-4 weeks for core development and integration of privacy-preserving algorithms (like Secure Aggregation), 1-2 weeks for on-chain verifiability layer implementation (using zk-SNARKs or zk-STARKs), and a final week for testing and deployment. For PoCs or simpler models, delivery can be as fast as 2 weeks.
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