Four Pillars, One Intelligence Layer
Ludopoly Analytics exposes its analytical capabilities through four service modules, each responsible for a distinct domain but connected to the others through the platform's shared event stream. The AML/CFT engine monitors on-chain activity for regulatory compliance. The ZK-KYC module enables privacy-preserving identity verification using zero-knowledge proofs. The dApp analytics service provides developers with behavioural metrics and cohort analysis. The AI risk engine leverages large language models to produce human-readable explanations of complex risk patterns.
These modules are not independent products bundled together under a single brand. They are co-designed components of a single system, sharing data models, event schemas, and a common pipeline. The cross-feeding mechanism described in the Architecture section ensures that insights generated by one module are immediately available to all others — creating a compound intelligence layer that no single module could achieve in isolation.
AML & Compliance
Three-tier rule engine with real-time, near-real-time, and batch analysis. Five-dimensional risk scoring. Graph-based relationship tracing.
ZK-Proof Identity
Groth16 and UltraPLONK proof systems for privacy-preserving KYC. On-chain verification through ERC-2535 Diamond contracts.
dApp Analytics
Cohort analysis, RFM segmentation, retention curves, and protocol-specific metric templates for DeFi, GameFi, NFT, DEX, and DAO projects.
AI Risk Engine
Large language model integration that translates transaction graphs and anomaly patterns into human-readable risk assessments and automated SAR drafts.
Each module can be activated independently according to your subscription tier. The cross-feeding mechanism operates automatically whenever two or more modules are active on the same project.