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LLM Banking Compliance Assistant is a production-grade RAG application for querying financial and regulatory documents with high accuracy and verifiable citations. It combines semantic search, cross-encoder reranking, and GPT-4o-mini generation to deliver domain-specific answers to complex banking compliance questions
NEAR Financial Instruments. Binding for manage DLT Financial Instruments, Digital Assets, protocols, multilateral financial regulations as DLT MI Tool for NEAR blockchain
Graph-augmented RAG for UK financial regulation — verifies every citation against a Neo4j knowledge graph, and refuses to answer when retrieval is weak. Hybrid BM25 + dense retrieval, local Mistral 7B.
A curated list of primary sources, regulators, and open-source tools for EU financial regulation: MiCAR, DORA, MiFID II, PSD2, and the AI Act in financial services.
Advanced financial NLP system developed within the Cambridge × Bank of England program. Extracts supervisory risk signals from JP Morgan & HSBC earnings call Q&A using LLMs, BERTopic and sentiment modelling.
DAML smart contracts on Canton enforcing BSA §5318(g) tipping-off prohibition at the ledger level — privacy-preserving digital identity, KYC/AML compliance, and SAR confidentiality by architectural design.
Country-level crowdfunding (digital financing) activity and a regulatory-clarity index, 2015-2020. Replication data and code for Ran, Rau & Ziegler (2025, Management Science).
RAG system for UK financial regulation Q&A — 16 Bank of England and PRA documents, 7,504 chunks, Claude-powered grounded answers with citations. 96% accuracy on 25-question golden dataset.
The forex broker rating algorithm behind fxcn.com - rules, reference implementation and public data snapshots. MIT licensed. All 129 published scores reproduce exactly.