SanctionsScreeningThatThinks.NotJustSearches.
The first AI-native sanctions intelligence platform built for Central & Eastern Europe. Verify entities, uncover hidden ownership chains, and generate audit-ready reports — in under 60 seconds, with < 5% false positive rate.
Note: This is a technological demonstration of sanctions screening in the context of the ‘Portugal Precedent’ and is not intended for commercial use. All results are simulated and must be validated through professional legal counsel. Read full disclaimer →
vs. 15–25% industry average (World-Check benchmark)
8 Sanctions Lists. One Simultaneous Check.
Updated daily. Screened in parallel. Results in under 60 seconds.
The EU Has 14 Sanction Packages. Your Spreadsheet Has Zero.
Since February 2022, the sanctions landscape has become the most complex compliance environment in economic history. Over 5,000 Russian and Belarusian entities are listed across OFAC SDN, EU Consolidated Lists, UK HMT, and UN Security Council databases — updated weekly, sometimes daily.
Supply Chain Opacity
Raw materials arriving via Turkish, Kazakh, or UAE intermediaries that mask Russian origin. Your steel supplier is clean. Their supplier is not.
Banking & Payment Channels
Transactions processed through correspondent banks with sanctioned counterparties trigger SWIFT blocks with zero warning — after the transfer, not before.
Hidden Ownership (UBO Risk)
Your investor's Cyprus holding has a Russian beneficial owner. Your Romanian supplier's parent company was added to the EU list six weeks ago. You have no idea.
Outdated Manual Processes
Compliance teams check PDF lists manually, monthly. Sanctions updates happen weekly. The gap between those two timelines is your legal exposure.
in EU grant fraud annually — 3–8% of applications
— OLAF Annual Report 2023
of M&A transactions have undiscovered compliance issues in due diligence
— McKinsey M&A Research 2022
Romanian companies with Eastern European supply chains has indirect RF exposure
— DueDiligence.one pilot dataset, 2025
Not Another Keyword Search. An AI That Reasons About Risk.
sanction.duediligence.one is built on a multi-agent AI architecture that doesn't just match names against lists. It reasons about the structure behind the entity: who owns it, who controls it, and whether those relationships create sanctions exposure.
Direct Match Screening
Simultaneous cross-check against 7 live sanctions lists — OFAC SDN, EU Consolidated, UK HMT, UN Security Council, SECO Switzerland, OpenSanctions, and national EU authority lists. Exact matching + Levenshtein fuzzy matching for transliteration variants. Cyrillic to Latin normalization built-in.
UBO Chain Analysis (3–5 Levels)
We traverse the full beneficial ownership tree using live ONRC Romania, E-Gov Moldova, and OpenCorporates APIs. We find the sanctioned shareholder behind the holding behind the LLC — the one your manual search misses.
Adversarial Verification
Every RED FLAG is actively contested before it enters your report. Our Adversarial Verifier searches for counter-arguments: documented divestiture, pre-sanctions ownership transfers, regulatory exemptions.
Full Screening Pipeline
Step 7 (Human Review) is mandatory for RED FLAG findings — required by EU AI Act Art. 14. This checkpoint cannot be bypassed by design.
From Entity Input to Verdict in 60 Seconds
Watch the AI pipeline screen a high-risk entity in real time.
Built for Every Professional Who Can't Afford to Get This Wrong
Know Before You Transfer. Not After.
Correspondent banking relationships, trade finance instruments, and cross-border payments all require sanctions screening at the transaction level — not the quarterly compliance review level.
- Real-time entity screening before transaction authorization
- Automated UBO check for corporate account onboarding (KYC/AML)
- Batch screening of existing portfolios against updated sanctions lists
- Full audit trail for BNM, NBR, ASF, ECB supervisory reviews
- MiCA-specific CASP compliance module for crypto-asset service providers
Built for the Regulatory Environment You Actually Operate In
EU AI Act — Article 14
Designed as a High-Risk AI System under EU AI Act Annex III. Article 14 (Human Oversight) is architecturally enforced: RED FLAG reports require human expert validation. This is structural, not a setting.
- Art. 9: Continuous risk monitoring + bias detection
- Art. 13: Full source citation on every finding
- Art. 14: Human-in-the-loop mandatory for high-risk findings
- Art. 15: Deterministic Python pipeline (0% arithmetic errors)
- Art. 18: 10-year audit log retention with RFC 3161 timestamps
GDPR — Zero Retention
Your documents are processed, not stored. We operate on a Zero Retention Policy enforced at the infrastructure level.
- All LLM processing is stateless: prompt deleted immediately
- Session workspace TTL: 1–72 hours, auto-deleted
- No document content stored in vector databases post-session
- Per-client encryption keys via AWS KMS
- Data Processing Agreements for all enterprise clients
- EU data residency exclusive: AWS eu-central-1 (Frankfurt)
AML / KYC Standards
Designed for deployment in regulated financial environments.
- Meets FATF Recommendations for Enhanced Due Diligence
- AML Package 2024 (AMLA regulation) compatible
- KYC data flows documented and auditable
- PEP (Politically Exposed Persons) screening layer
- Adverse media signal integration (Enterprise tier)
- GDPR Art. 22 / EU AI Act Art. 13 conflict resolved via source citation
3 Months. 3 Pilot Analyses. Zero Cost.
We don't need you to trust our numbers. We need you to test them against your own files.
- 3 free full analyses on real entities from your active portfolio
- Compare our output against your current manual screening
- Full access to the Command Center demo environment
- Direct feedback session with our technical team (CEO + CTO)
- Your input shapes the product roadmap for the next 90 days
We ask only for a 30-minute post-analysis debrief and permission to cite you as a pilot partner (anonymized if preferred).
The adversarial verification layer is what makes this different. Every other tool I've evaluated reports matches — this one tells me when a match might be wrong, and why.
We screened 240 grant applicants in 48 hours. Manual process would have taken 4 weeks. The false positive rate was actually lower than our manual process.
The UBO chain analysis uncovered a third-tier ownership link to a sanctioned entity that our existing tools completely missed. That single finding justified the entire evaluation.