RLYXA AML
A specialised AML intelligence platform powered by a fine-tuned Qwen2.5-32B-Instruct model. Natural-language transaction analysis, automated SAR drafting, and FATF-cited compliance guidance — deployed entirely within your infrastructure.
What RLYXA AML can do
Unlike generic LLMs, RLYXA AML is trained exclusively on AML/CTF content. It cites specific FATF Recommendations, explains its reasoning, and runs locally on bank infrastructure.
Analyzer Chat
Type natural language queries like "Check transaction £9,500 to Country X" and receive a structured compliance assessment with FATF citations.
Spider Mode
Upload CSV transaction files for batch analysis. The system generates a network graph of relationships, flags suspicious patterns, and produces a consolidated risk report.
SAR Drafting
Auto-generates Suspicious Activity Report narratives with proper structure, regulatory context, and supporting evidence references.
FATF Flags
Every output references specific FATF Recommendations. The model was trained on the full FATF recommendation corpus and explains which rule applies to each scenario.
PEP & KYC Guidance
Answers enhanced due diligence questions for Politically Exposed Persons, sanctions screening, and high-risk jurisdiction onboarding.
QA Queue
Built-in FCA-style 5% human sampling queue. Low-risk transactions are flagged for analyst confirmation, ensuring regulatory compliance without reviewing every case.
Private, explainable, specialised
RLYXA AML is built on Qwen2.5-32B-Instruct with a 33.5 MB LoRA adapter — fine-tuned on 11,863 specialised instruction-output pairs covering FATF recommendations, transaction analysis, SAR drafting, and sanctions compliance.
Fine-Tuned, Not Generic
Trained exclusively on AML/CTF content. It does not hallucinate general knowledge — it cites FATF Recommendations, explains step-by-step, and identifies legitimate "No SAR required" cases.
Runs Locally
Deployed entirely within your data centre or VPC. No data leaves your network. Optional air-gapped deployment with no internet connectivity required.
Explainable by Design
Every response includes the specific FATF Recommendation cited, the reasoning chain, and the confidence level. Auditors get transparency, not black boxes.
Fast & Cost-Effective
Inference in 3–5 seconds per query. The adapter is only 33.5 MB on top of the open-source base model — no per-token API costs, no vendor lock-in.
Technical Specifications
What you can ask
What does FATF Rec 19 require for high-risk jurisdictions?
Customer deposits $9,800 daily for 5 days. Is this suspicious?
A former minister wants to open an account. What EDD steps?
Write a SAR narrative for a structuring case
What are red flags for crypto money laundering?
What is the OFAC 50% Rule?
Where we are heading
Core AML Q&A, FATF citations, SAR drafting, Spider mode batch analysis
RAG system with FATF PDF ingestion, enhanced citation accuracy
Multi-language support (Arabic, French, Spanish)
API endpoints, real-time batch transaction analysis
Autonomous AML agent with tool calling and proactive alerting
Interested in RLYXA AML?
We are actively developing RLYXA AML and welcome early design partners from financial institutions, compliance teams, and regulatory technology providers.