Predictive Maintenance for DePIN Network Health

Predict and mitigate hardware failures before they occur, moving from reactive firefighting to proactive management. We deliver automated alerts and actionable insights to your operations team.

Reduce operational waste by precisely forecasting hardware maintenance needs. Our models identify underutilized and overstressed nodes, enabling data-driven capacity planning and capital expenditure.

Detect anomalous behavior patterns that may indicate security threats or data integrity issues. Our system monitors for consensus deviations and suspicious node activity in real-time.

Maximize rewards for your network's stakers and hardware providers by maintaining optimal node performance and uptime. Reliable networks attract and retain high-value participants.

Grow your DePIN confidently with predictive insights that scale. Our dashboard and APIs provide a single pane of glass for network health across thousands of global nodes.

Provide transparent, verifiable proof of network performance and health to investors, partners, and the community with automated, auditable reports and key metrics.

We design a custom monitoring architecture, selecting optimal data sources (RPC nodes, indexers, mempool feeds) and defining alerting thresholds based on your specific network (EVM, Solana, Cosmos).

Our engineers build and audit the core predictive agents and on-chain responders using Solidity/Rust. Includes fail-safes, gas optimization, and integration with Pyth/Chainlink for external data.

We deploy your system to a staging environment (testnet/fork) and run comprehensive simulations. We test failure scenarios, measure prediction accuracy, and validate response logic.

Managed deployment to your mainnet infrastructure with zero downtime. We establish real-time dashboards (Grafana), configure escalation policies, and provide 24/7 monitoring support.