Ludopoly
Ludopoly

Automated Compliance Engine (ACE)

Full-Spectrum On-Chain Intelligence

Existing solutions silo AML surveillance, identity verification, and developer analytics into disconnected tools — multiplying operational cost and stretching threat-detection windows. The Automated Compliance Engine merges a three-tier AML/CFT rule engine, ZK-SNARK privacy-preserving identity, and full-spectrum dApp analytics into one cross-module intelligence layer, so every signal sharpens every other.

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Three Pillars, One Data Pipeline

AML/CFT monitoring, ZK-SNARK identity verification, and dApp analytics share a single Kafka event stream. Signals flow bidirectionally between modules — eliminating the data silos and blind spots created by disconnected point solutions.

Privacy Without Compromise

Client-side ZK proof generation means the platform never touches raw personal data. Users verify credentials on-chain through modular Diamond contracts, resolving the core tension between regulatory mandates and blockchain privacy principles.

200+ Chain Panoramic View

Track user behaviour, fund flows, and suspicious activity across EVM-compatible and non-EVM networks from one dashboard. Cross-chain hop analysis traces funds through bridge contracts, closing the visibility gap that single-chain monitors leave wide open.

AI-Narrated Risk Intelligence

An LLM risk engine transforms complex transaction graphs into human-readable explanations with auto-drafted SAR reports. Intelligent multi-model routing matches each task to the optimal model — balancing cost and response quality without manual intervention.

Regulation-Ready by Design

A modular compliance framework with country-level parameter management adapts to MiCA, FATF Travel Rule, and MASAK requirements. Six-layer defense-in-depth security — from CloudFlare WAF to SIEM-based anomaly detection — keeps audit readiness perpetual, not reactive.

Build-Time Analytics Integration

Four API protocols (REST, GraphQL, WebSocket, Webhook), SDKs in five languages, and a VS Code plugin embed compliance-aware analytics directly into the development cycle. Open project registry with YAML config lets any team onboard in minutes.

Architecture of an integrated compliance engine

Architecture Diagram

Three-Tier AML/CFT Rule Engine

Tier 1 fires instant threshold and blacklist checks under 100 ms. Tier 2 catches structuring and layering patterns within 5 s. Tier 3 runs batch graph analysis on Neo4j to surface long-horizon laundering networks — while a five-dimensional risk score (transaction, counterparty, behavioural, geographic, profile) normalised to 0–1 000 replaces crude single-threshold alerts.

ZK-SNARK Privacy-Preserving Identity

Groth16 delivers compact proofs for simple attribute checks (age, residency); UltraPLONK handles complex multi-condition policies (accreditation tiers, graduated access). Proofs are generated entirely client-side — the platform never touches raw identity data — and verified on-chain through modular ERC-2535 Diamond contracts at under 250 000 gas per verification.

"A five-dimensional risk scoring model — spanning transaction, counterparty, behavioural, geographic, and profile signals — combined with cross-module intelligence turns fragmented compliance workflows into a single, context-rich decision surface."

Each Pillar, End to End

Intercept Illicit Flows Across Every Layer

Tier 1 rules fire blacklist and threshold checks in under 100 ms; Tier 2 catches structuring and layering patterns within 5 s; Tier 3 batch jobs run Neo4j path-finding, community detection, and centrality analysis to map long-horizon laundering networks overnight.

A five-dimensional risk model — transaction size, counterparty reputation, behavioural cadence, geographic jurisdiction, and identity profile — produces a normalised 0–1 000 composite score that dramatically reduces false-positive alerts versus single-threshold approaches.

Cross-chain hop analysis follows funds through bridge contracts across 200+ EVM and non-EVM networks, exposing layering attempts that disappear from view when monitoring only a single chain.

Threat
Intelligence

Build with confidence

Where Compliance, Identity, and Analytics Converge

Bring AML/CFT surveillance, zero-knowledge identity assurance, and cross-chain dApp analytics together in one engine — engineered for crypto exchanges, DeFi protocols, GameFi studios, DAOs, and every team building the on-chain economy. From Starter to Enterprise, scale compliance as you scale your product.