We architect and deploy custom smart contracts on EVM and Solana that are secure by design. Every contract undergoes a multi-stage audit process, including automated analysis, manual review, and formal verification for critical logic.
LABS
Services
Predictive Storage Failure Analysis
Machine learning platform that analyzes node telemetry to predict hardware failures and network churn, enabling proactive maintenance and guaranteed data durability for decentralized storage networks.
Chainscore © 2026
overview
CORE SERVICE
Smart Contract Development
Secure, production-ready smart contracts built by experts for DeFi, NFTs, and enterprise applications.
Deliver a battle-tested, gas-optimized contract suite in 4-6 weeks, not months.
- DeFi Protocols: DEXs, lending/borrowing, yield aggregators, and liquidity management systems.
- Digital Assets: Custom
ERC-20,ERC-721, andERC-1155tokens with advanced minting and royalty logic. - Enterprise Logic: Automated workflows, multi-sig governance, and verifiable supply chain tracking.
Our development includes comprehensive testing (unit, integration, forking mainnet), full documentation, and a deployment package ready for your team or our managed infrastructure.
key-features-cards
DATA-DRIVEN INFRASTRUCTURE RELIABILITY
How Our Predictive Analytics Platform Works
Our platform transforms raw blockchain node telemetry into actionable intelligence, preventing downtime and optimizing performance before issues impact your users.
01
Real-Time Telemetry Ingestion
We ingest and normalize real-time metrics from your blockchain nodes—including memory usage, disk I/O, CPU load, and peer connections—across all major protocols (Ethereum, Solana, Polygon).
100+
Metrics Monitored
< 1 sec
Data Latency
02
Anomaly Detection Engine
Proprietary ML models analyze historical and real-time data to identify subtle patterns and deviations that signal impending hardware failures or performance degradation.
95%
Accuracy Rate
48 hrs
Avg. Early Warning
03
Root Cause Analysis & Alerts
The platform automatically correlates anomalies, pinpoints the root cause (e.g., failing SSD, memory leak, network partition), and sends prioritized alerts to your engineering team via Slack, PagerDuty, or email.
5 min
Mean Time to Diagnose
0
False Positive SLA
04
Preventive Action Recommendations
Receive automated, step-by-step playbooks for remediation—from scaling resources and restarting services to initiating automated failover—ensuring issues are resolved before they cause downtime.
90%
Issues Auto-Resolved
70%
Cost Reduction
benefits
TANGIBLE ROI
Business Outcomes: From Cost Savings to Contract Wins
Predictive Storage Failure Analysis isn't just a technical feature—it's a strategic investment that directly impacts your bottom line and competitive edge. Here's how our service delivers measurable business value.
01
Eliminate Unplanned Downtime
Proactively identify and remediate storage node failures before they impact your service. Maintain 99.9%+ uptime SLAs for your dApps and users, preventing revenue loss and preserving trust.
> 90%
Failure Prediction Accuracy
99.9%+
Uptime SLA
02
Reduce Infrastructure Costs by 40%+
Optimize storage resource allocation and prevent over-provisioning. Our predictive models identify underutilized or failing nodes, enabling efficient scaling and significant OpEx savings.
40%+
OpEx Reduction
Real-time
Cost Analytics
03
Accelerate Enterprise & Grant RFPs
Demonstrate enterprise-grade reliability and proactive risk management in proposals. Our auditable failure prediction logs and SLAs provide the technical due diligence required to win major contracts.
Comprehensive
Compliance Reporting
Audit-Ready
Data Logs
04
Enhance Security & Data Integrity
Prevent data loss and corruption by flagging storage degradation early. Integrates with IPFS, Filecoin, and Arweave to ensure immutable data availability meets your security standards.
Zero
Unplanned Data Loss
E2E
Integrity Checks
05
Gain a Competitive Market Edge
Offer superior reliability as a core product feature. For DeFi protocols, NFT platforms, and RPC providers, predictable uptime directly translates to higher TVL, user retention, and market share.
Proven
User Retention Boost
Key
Product Differentiator
06
Future-Proof Your Infrastructure
Our machine learning models continuously improve with your network data. Build a resilient, self-healing storage layer that scales efficiently with your user growth and data demands.
ML-Powered
Adaptive Models
Automated
Health Scaling
Why Proactive Intelligence Wins
Predictive Analysis vs. Traditional Monitoring
Traditional monitoring reacts to failures; our predictive analytics anticipate them. This comparison shows how our service transforms blockchain infrastructure management from reactive to proactive.
| Capability | Traditional Monitoring | Chainscore Predictive Analysis |
|---|---|---|
Detection Method | Reactive (Post-Failure) | Proactive (Pre-Failure) |
Primary Metric | Uptime/Downtime | Node Health Score & Failure Probability |
Alert Type | Failure Alerts | Predictive Warnings & Risk Mitigation Steps |
Mean Time to Resolution (MTTR) | Hours to Days | Minutes (Pre-emptive action) |
Data Sources | Basic Node Metrics | Multi-layer Telemetry & Historical Pattern Analysis |
Cost of Downtime | High (Revenue Loss, SLA Breaches) | Minimal (Prevented Outages) |
Team Workload | High (Firefighting) | Low (Strategic Planning) |
Infrastructure Cost Efficiency | Low (Over-provisioning for safety) | High (Optimized resource allocation) |
Implementation Timeline | 2-4 Weeks | 1-2 Weeks (API Integration) |
Typical Outcome | Managed Downtime |
|
how-we-deliver
PREDICTIVE ENGINEERING
Our Delivery Process: From Data to Deployment
A systematic, four-phase methodology to deliver production-ready predictive analytics for your blockchain storage infrastructure. We move from raw data to actionable insights with measurable SLAs.
01
Phase 1: Data Pipeline Architecture
We design and implement secure, real-time data ingestion pipelines from your nodes (Geth, Erigon, Besu) and storage layers (IPFS, Filecoin, Arweave). Includes custom metric collection for historical and on-chain activity.
Deliverable: A fully instrumented data pipeline with 99.9% ingestion uptime.
99.9%
Ingestion Uptime
< 24h
Pipeline Setup
02
Phase 2: Model Development & Training
Our data scientists build proprietary ML models (LSTM, Gradient Boosting) trained on petabytes of historical failure data. We identify patterns in disk I/O, latency spikes, and consensus anomalies to predict failures.
Deliverable: A validated predictive model with defined accuracy thresholds.
> 95%
Prediction Accuracy
Petabyte-scale
Training Data
03
Phase 3: Integration & Alerting System
We integrate the predictive model into your monitoring stack (Grafana, Datadog, PagerDuty). Configure real-time alerts and automated remediation workflows to trigger before a failure occurs.
Deliverable: A live dashboard with configurable alerts and incident playbooks.
< 5 min
Alert Latency
24/7
Monitoring
04
Phase 4: Deployment & SLA Governance
We deploy the complete system into your production environment with full documentation. Ongoing support includes model retraining, performance reporting, and adherence to a strict service level agreement.
Deliverable: A production system under a 99.5% prediction reliability SLA.
99.5%
System Reliability SLA
2 weeks
Full Deployment
Predictive Storage Failure Analysis
Frequently Asked Questions
Get clear answers about our proactive monitoring service for blockchain node infrastructure.
Our service uses proprietary machine learning models trained on petabytes of historical node data to analyze real-time storage health metrics. We monitor over 50 parameters—including I/O latency, SMART attributes, wear leveling, and block corruption rates—to predict failures with 95%+ accuracy up to 72 hours in advance. Alerts are delivered via Slack, PagerDuty, or email with actionable remediation steps.
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