An AML compliance copilot built on TigerGraph GraphRAG. Drop in any transaction, entity, or scenario — get a SAR-ready case file with OFAC sanctions check, multi-hop reasoning, and regulatory citations in 20 seconds. Benchmarked against vector RAG on 40 multi-hop questions.
Pick a benchmark question. Read all three pipeline answers side-by-side, with LLM-Judge pass/fail, BERTScore F1, token count, and latency for each. Click to expand judge reasoning. This is exactly the audit a compliance officer or hackathon judge would run.
Same 40 hand-curated multi-hop AML questions. Same LLM (Gemini 2.5 Flash-Lite). Same data. Graded by LLM-as-Judge and BERTScore F1.
| Pipeline | Avg tokens | Cost / query | Latency | LLM-Judge pass | BERTScore F1 | Tokens / correct |
|---|---|---|---|---|---|---|
| P1: LLM-only | 748 | $0.0002 | 4.71s | 75.0% (30/40) | 0.076 | 997 |
| P2: Basic RAG | 2,924 | $0.0003 | 2.59s | 37.5% (15/40) | 0.187 | 7,799 |
| P3: GraphRAG WINNER | 3,197 | $0.0029 | 16.25s | 84.6% (33/39) | 0.315 | 3,779 |
Every transaction screened, every entity traced, every claim cited — from a TigerGraph knowledge graph, not from an LLM's parametric guess.
Two real case files generated by the Co-Pilot — same structure a compliance analyst receives in 20 seconds. Risk band, OFAC SDN match, regulatory citations, recommended actions, and an analyst-editable SAR narrative draft.
CUBA · Type: BANK
31 CFR § 515
CACR § 515.207
OFAC Cuba Sanctions Program
FinCEN SAR Filing Instructions
C12345678 to a counterparty identified as BANCO NACIONAL DE CUBA, a financial institution appearing on the U.S. Treasury OFAC Specially Designated Nationals (SDN) List under the Cuba Sanctions Program. The transaction was blocked pre-settlement pursuant to 31 CFR § 515.201. Given the receiver's status as a state-controlled bank of an embargoed jurisdiction, the institution assesses this activity as high-risk for facilitating prohibited financial dealings with the Government of Cuba.
31 USC § 5324
31 CFR § 1010.314
FinCEN SAR Activity Review #19
BSA § 5318(g)
FIU.S (structuring)Three pipelines benchmarked on the same 40 multi-hop AML questions. Code, data, evaluation harness — everything to reproduce the numbers above is in the repo.
SanctionTrace is an AML (anti-money-laundering) compliance copilot that turns a 4-hour analyst workflow into a 20-second graph-grounded case file.
Compliance analysts spend hours manually pulling transactions, running OFAC screenings, walking counterparty relationships, and drafting Suspicious Activity Reports. Vector RAG copilots have tried to automate this and failed — vector search retrieves similar text, but it can't reason across the relationships AML investigations live in.
SanctionTrace builds a TigerGraph knowledge graph from a 3.4M-token AML corpus (FinCEN advisories, OFAC guidance, BSA regulations) plus 18,947 OFAC SDN entities, then puts a GraphRAG retrieval layer between Gemini 2.5 Flash-Lite and the analyst.
SanctionTrace was built solo by Akansha Mishra over seven days for the TigerGraph GraphRAG Inference Hackathon 2026. Reach out for questions, partnerships, or hiring conversations.