We architect and deploy audit-ready smart contracts on EVM and Solana. Our development process includes formal verification and integration with OpenZeppelin libraries to ensure security from day one.
LABS
Services
DePIN Data Compression & Storage Strategy
We design and implement cost-optimized data pipelines and hybrid storage architectures for high-throughput DePIN and IoT networks, reducing your long-term data storage costs by up to 60%.
Chainscore © 2026
overview
CORE SERVICES
Smart Contract Development
Secure, production-ready smart contracts built for scale and compliance.
Deliver a secure, functional MVP in as little as 2-4 weeks with a fixed-scope engagement.
Our full-service delivery includes:
- Custom logic for DeFi, NFTs, DAOs, and enterprise applications.
- Gas optimization to reduce user transaction costs by up to 40%.
- Comprehensive testing suite with 95%+ coverage before audit.
- Post-deployment support and upgrade path planning.
We mitigate critical risks by adhering to industry security standards and preparing all code for third-party audits by firms like CertiK or Quantstamp. This ensures your protocol launches with trust and minimizes vulnerability exposure.
key-features-cards
ENGINEERED FOR SCALE
Our DePIN Data Architecture Capabilities
We architect and implement the foundational data layer for your DePIN, ensuring cost efficiency, high availability, and seamless integration with on-chain logic.
01
Multi-Layer Storage Strategy
Implements a hybrid storage architecture combining on-chain state, decentralized storage (Arweave, Filecoin), and optimized cloud caching. Reduces on-chain gas costs by up to 70% while maintaining data integrity and availability.
70%
Gas Cost Reduction
Multi-Protocol
Storage Layer
02
Real-Time Data Compression
Deploy custom compression algorithms for IoT sensor data, telemetry, and log streams. Achieve payload reductions of 40-90% before on-chain submission or off-chain storage, minimizing bandwidth and transaction fees.
40-90%
Payload Reduction
Real-Time
Processing
03
Provable Data Integrity
Design cryptographic attestation schemes using Merkle proofs and zero-knowledge circuits. Enables verifiable data provenance from edge device to smart contract, a critical requirement for DePIN oracle feeds and slashing conditions.
ZK-Proofs
Verification
End-to-End
Provenance
04
Scalable Data Pipeline Orchestration
Build fault-tolerant ingestion, processing, and indexing pipelines using Apache Kafka and temporal workflows. Handles millions of device events daily with sub-second latency for real-time dashboarding and on-chain triggers.
Millions/day
Event Throughput
< 1 sec
Processing Latency
05
Cross-Chain Data Availability
Ensure your DePIN's critical data is accessible across Ethereum, Solana, and L2s (Arbitrum, Optimism). We implement modular DA layers and bridge attestations to prevent vendor lock-in and maximize network reach.
Multi-Chain
Compatibility
Modular DA
Architecture
06
Security & Compliance Framework
Integrate enterprise-grade security practices including penetration testing, SOC 2 controls, and role-based data access. Our architecture is built with audit trails and regulatory considerations for sensitive IoT data.
SOC 2
Framework
Pen-Tested
Security
benefits
TANGIBLE RESULTS
Business Outcomes of an Optimized Data Strategy
Our DePIN data compression and storage strategy delivers measurable improvements in cost, performance, and scalability. See the direct impact on your bottom line.
01
Reduce Storage Costs by 60-80%
Implement advanced compression algorithms and decentralized storage tiering (Filecoin, Arweave, S3) to dramatically lower your data retention expenses without sacrificing accessibility.
60-80%
Cost Reduction
Multi-tier
Storage Strategy
02
Achieve Sub-Second Data Retrieval
Deploy edge caching layers and optimized indexing for IoT/DePIN data streams, ensuring real-time analytics and application responsiveness for end-users.
< 1 sec
P95 Latency
Global Edge
Cache Network
03
Scale to Billions of Data Points
Architect horizontally scalable data pipelines using Kafka and time-series databases (TimescaleDB) to handle massive ingestion from global sensor networks and devices.
Unlimited
Horizontal Scale
10k+ TPS
Ingestion Rate
04
Ensure Data Integrity & Provenance
Anchor critical datasets on-chain (Ethereum, Solana) with cryptographic proofs, providing immutable audit trails and verifiable data lineage for compliance and trust.
On-chain Proofs
Integrity
Immutable Log
Audit Trail
05
Unlock New Data Monetization
Build secure data marketplaces or oracles (Chainlink, Pyth) to package and sell processed, anonymized datasets, creating a new revenue stream from your DePIN assets.
New Revenue
Stream
Permissioned
Data Access
06
Future-Proof with Modular Architecture
Design a decoupled, protocol-agnostic data layer. Easily integrate new storage solutions, L2s, or analytics engines without costly platform rewrites.
Protocol-Agnostic
Design
Plug-and-Play
Integration
Make the Right Infrastructure Choice
Build vs. Buy: Data Pipeline Strategy
A detailed comparison of the costs, risks, and time investment required to build a DePIN data compression and storage pipeline in-house versus partnering with Chainscore Labs.
| Factor | Build In-House | Chainscore Managed Service |
|---|---|---|
Time to Production | 6-12 months | 4-8 weeks |
Initial Development Cost | $250K - $600K+ | $50K - $150K |
Annual Maintenance Cost | $150K+ (2-3 engineers) | $30K - $75K (SLA) |
Compression Expertise | Requires R&D (ZK, Merkle Trees) | Pre-built, audited libraries |
Multi-Chain Storage | Custom integration per chain | Native support for 10+ L1/L2s |
Data Integrity & Provenance | High risk of implementation errors | Cryptographically verified with on-chain proofs |
Security Audit Burden | Your responsibility & cost | Included in service (audited architecture) |
Scalability Engineering | Your team builds & maintains | Handled automatically, pay-per-use |
Team Focus | Diverted to infrastructure | Freed for core product development |
Total Cost of Ownership (3 Years) | $700K - $1.5M+ | $140K - $300K |
how-we-deliver
PREDICTABLE, TRANSPARENT, AND RESULTS-DRIVEN
Our 4-Phase Delivery Methodology
We deliver your DePIN data strategy through a structured, milestone-driven process that ensures technical excellence, clear communication, and on-time delivery.
01
Phase 1: Architecture & Design
We analyze your data streams and storage needs to design a hybrid on-chain/off-chain architecture. This includes selecting optimal compression algorithms (like ZK-SNARKs or state channels) and defining data sharding strategies for Arweave, Filecoin, or IPFS.
2-3 weeks
Design Sprint
3+ Options
Architecture Reviewed
02
Phase 2: Protocol Development & Integration
Our engineers build and integrate the core compression logic, smart contracts for data attestation, and off-chain storage adapters. We implement with security-first principles, using audited libraries and comprehensive unit testing.
4-6 weeks
Core Build
100% Coverage
Unit Tests
03
Phase 3: Optimization & Security Audit
We rigorously optimize for gas efficiency and storage costs, then submit the system for a formal security audit by a third-party firm. We provide a detailed report and implement all critical recommendations before deployment.
2-3 weeks
Audit Cycle
>40%
Avg. Cost Reduction
04
Phase 4: Deployment & Monitoring
We manage the mainnet deployment, configure real-time monitoring dashboards for data integrity and system health, and provide comprehensive documentation. Includes a 30-day post-launch support period.
1 week
Go-Live
24/7
Initial Monitoring
tech-stack
BUILDING ON PROVEN INFRASTRUCTURE
Protocols & Technologies We Implement
We architect your DePIN data layer using battle-tested protocols and modern compression algorithms, ensuring scalability, security, and cost-efficiency from day one.
Technical & Commercial Insights
DePIN Data Strategy: Common Questions
Get clear answers on our methodology, timelines, and how we deliver cost-efficient, scalable data infrastructure for DePINs.
We deliver a complete, production-ready DePIN data compression and storage architecture in 4-8 weeks, from initial assessment to final deployment. The timeline depends on data volume, chain complexity, and custom logic requirements. A standard Helium Network or Hivemapper-style data pipeline typically takes 4 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