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.
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
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."
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.