Advanced AML Scoring Built for Web3 Security
Automated wallet checks for sanctions, stolen funds, darknet exposure, fraud rings, and more
Private Exchange
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We examine incoming wallet behaviour, not portfolio data, so you get instant AML intelligence while maintaining full sovereignty over your assets.
Non-custodial AML intelligence that helps you approve clean transactions and block risky ones instantly.
Capabilities at a Glance
Comprehensive Wallet Risk Intelligence
Identify illicit exposure across sanctions, darknet markets, mixers, fraud rings, stolen funds, and high-risk clusters.
Provenance & Exposure Tracking
Trace the origin of funds, uncover hidden links, and evaluate counterparties with forensic-grade precision
Reduce False Positives
Our models differentiate between legitimate activity and risky patterns for more accurate decision-making.
Non-Custodial Architecture
We analyze blockchain data without touching your crypto — your assets stay fully in your control.
Investigations & Forensics Ready
Generate detailed reports that support audits, compliance reviews, and regulatory requests.
Private Swap Advantages with Baltex
Variety of coins to exchange
Quick, easy, secure exchanges for Bitcoin and more than 1,000 altcoins
Adaptable infrastructure
Composable services and versioned APIs that evolve with your product, not against it
Speedy transactions
Get any of Baltex’s 1,000+ supported cryptocurrencies in minutes
What Baltex Brigns To The Table
Machine-Learning Risk Scoring
Our AML engine uses behavioral ML models to evaluate on-chain wallet patterns and detect anomalies with high precision
Always-Up-to-Date Intelligence Layer
We enrich our risk database with live insights from global anti-fraud agencies, law-enforcement reports, and threat-intelligence feeds.
Dynamic Risk Models
Baltex models adapt based on emerging threats, new laundering techniques, and updated intelligence — ensuring long-term accuracy.
Behavioral Profiling for Every Address
Analyze sender reputation through transaction history, flow typologies, exposure clusters, and ML-identified laundering patterns
Aggregated Fraud Intelligence System
Our system correlates blockchain analytics with external crime reports, sanction updates, and cross-chain data
Automated Flow Decisioning
Instant scoring helps you approve safe transactions and prevent high-risk funds from entering your ecosystem.
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Baltex uses a multi-layer risk engine that combines machine-learning behavioral models, graph analysis, clustering heuristics, and exposure mapping. The system evaluates transaction history, flow patterns, network connections, and links to known illicit entities to generate a transparent and evidence-based risk score.
Our intelligence layer is refreshed continuously using data from global anti-fraud agencies, sanctions authorities, cybersecurity partners, law-enforcement reports, and confirmed incident feeds. All new data passes through validation, deduplication, and attribution pipelines before being integrated into the core risk graph.
No. Baltex operates as a fully non-custodial analytics layer. The system never touches user funds or private credentials and relies exclusively on publicly available blockchain metadata, behavioral signatures, and external intelligence sources.
Baltex performs analytics across major L1 and L2 ecosystems and thousands of assets. Transaction data is normalized into a unified behavioral model, enabling consistent multi-chain risk scoring, cross-chain exposure detection, and tracking of laundering patterns involving DEXs, bridges, and mixer routes