Privacy-Preserving DePIN Network Analytics

We aggregate network metrics (transactions, uptime, bandwidth) using zk-SNARKs, enabling verifiable data proofs without exposing raw, sensitive node or user information. This allows for transparent network health dashboards while preserving participant anonymity.

Seamlessly ingest and normalize data from heterogeneous DePIN sources—including Helium (Solana), peaq (Polkadot), and IoTeX—into a unified analytics layer. We handle the complexity of cross-chain indexing and state reconciliation.

Monitor network health and security with ML-driven models that identify suspicious patterns—like Sybil attacks or data manipulation—in real-time. Receive alerts and forensic reports to protect network integrity and tokenomics.

Our data pipelines are designed with privacy-by-architecture principles. We implement data minimization, purpose limitation, and secure deletion workflows, ensuring your DePIN analytics adhere to global regulatory standards.

Provide your DAO or network operators with role-based dashboards. Visualize key metrics like reward distribution, node performance, and treasury health through secure, API-driven interfaces for informed governance decisions.

Every data point and computation in our system generates an immutable, verifiable log on a permissioned ledger. This provides a tamper-proof record for internal audits, regulatory inquiries, and proving data provenance to stakeholders.

We begin with a deep technical assessment of your DePIN's data flows and privacy requirements. We deliver a detailed architecture document outlining the MPC/TEE framework, data ingestion points, and analytics pipeline.

Our engineers build the core infrastructure for ingesting and processing encrypted DePIN data (sensor, compute, bandwidth). We implement privacy-preserving aggregation using Zero-Knowledge proofs or secure enclaves.

We develop a custom dashboard and REST/GraphQL APIs that surface actionable insights—like network health, resource utilization, and reward distribution—without exposing raw participant data.

Before deployment, the entire system undergoes a rigorous security review. We engage third-party auditors (like Trail of Bits or Quantstamp) to test the cryptographic implementations and data handling logic.

We deploy the analytics network in phases—starting with a testnet or a subset of live nodes. We handle full integration with your existing DePIN infrastructure and provide detailed operational runbooks.

We provide 24/7 monitoring, performance optimization, and quarterly feature updates. Our team acts as an extension of yours, ensuring the analytics platform evolves with your DePIN's growth.