 For years, stablecoins were marketed as the “safe” layer of digital assets. In 2026, that narrative is being challenged at the highest regulatory level. This month, the Financial Action Task Force (FATF) released a new targeted report warning that stablecoins and unhosted wallets are increasingly being exploited for illicit finance, particularly in peer-to-peer activity that sits outside many traditional compliance controls. FATF specifically highlighted criminal misuse of stablecoins through unhosted wallets and called for stronger controls by both governments and the private sector. That warning is not theoretical. It arrives at the same moment regulators are escalating enforcement across traditional finance and crypto-linked activity, making one thing unmistakably clear: The future of AML is no longer about simply monitoring transactions. It is about understanding hidden networks, behavioral patterns, and cross-border risk at speed. Why This Matters Right NowThis is not just another crypto headline. It is a signal of a larger regulatory shift. FATF’s March 2026 report explicitly points to peer-to-peer stablecoin transactions via unhosted wallets as a growing vulnerability. It also encourages governments to require stablecoin issuers to implement risk-based technical and governance controls, including the ability to freeze, burn, or withdraw stablecoins in secondary markets when necessary to address illicit finance threats. Even more striking, FATF cited industry data showing that stablecoins accounted for 84% of the $154 billion in illicit virtual asset transaction volume in 2025, overtaking Bitcoin as the dominant vehicle in illicit crypto flows. That single statistic should reshape how compliance leaders think about digital asset risk. Stablecoins are no longer just a settlement convenience. They are now a core AML and sanctions risk domain.  Enforcement Is Already Catching UpThe regulatory warning is already being reinforced by action. On March 6, 2026, Canaccord Genuity agreed to pay a record $80 million civil penalty to settle allegations from U.S. regulators that it willfully violated the Bank Secrecy Act by failing to monitor and report suspicious activity. FinCEN described it as the largest fine against a broker-dealer for such violations, with regulators citing at least 160 missed suspicious activity reports, including transactions tied to a Cyprus-based firm that helped Russian oligarchs move money out of Russia. This matters because it reflects a growing enforcement standard: Regulators are no longer asking whether a compliance program exists. They are asking whether it actually detects real-world criminal behavior. And in 2026, that includes:
The Bigger Pattern: Financial Crime Is Becoming More Sophisticated and More IndustrializedThis week’s broader global signals point in the same direction. INTERPOL warned yesterday that financial fraud is now one of the world’s most severe and rapidly evolving transnational crimes, emphasizing the increasing sophistication and scale of global fraud threats. Meanwhile, Chainalysis reported last week that state-driven sanctions evasion volume surged 694% in 2025, with actors tied to Russia and Iran increasingly industrializing crypto-based sanctions evasion. And across sanctions compliance, legal and compliance specialists continue to highlight the expanding role of crypto assets in sanctions circumvention, particularly in the Asia-Pacific region and in Russia-linked networks. Taken together, these are not isolated developments. They reveal a larger truth: Financial crime has evolved faster than many AML systems.  Why Traditional AML Systems Are Falling BehindMost legacy AML stacks were designed for a different era. They were built around:
But today’s risk looks different. Modern illicit finance increasingly involves:
The real question is: What network is this transaction part of? That is a completely different analytical challenge. This Is Why Risk Intelligence Must Replace Static MonitoringThe institutions that will outperform in 2026 are not simply the ones with more alerts. They are the ones with better visibility. That means shifting from:
Recent academic and applied research continues to reinforce that AI-driven, graph-based AML models can materially improve detection quality, reduce false positives, and better identify complex money laundering networks compared with conventional rule-based approaches.  Where AMALIA 2 Fits in the New Enforcement EraThis is exactly why AMALIA 2 by RisikoTek is so relevant right now.
AMALIA 2 is not just another monitoring tool. It is an intelligence-driven investigative environment built for the realities regulators are now prioritizing. What AMALIA 2 helps teams do:
It is having intelligence that actually sees what others miss. A Banker’s Perspective on What Comes NextFrom an experienced banker’s perspective, this is the key shift many institutions still underestimate: Regulatory risk is no longer a documentation problem. It is a visibility problem. A policy can exist. A system can be installed. A team can be staffed. But if the institution cannot:
That distinction is becoming expensive. FATF’s March 2026 stablecoin warning is not just about crypto. It is about the future of financial crime detection itself. The institutions that win in the next phase of AML will be those that can:
It is becoming the new standard. If your institution is re-evaluating how it detects sanctions risk, crypto-linked laundering, or complex financial crime networks in 2026, now is the time to modernize. Discover how AMALIA 2 by RisikoTek helps compliance and investigations teams move beyond static monitoring into true intelligence-driven financial crime detection. 🌐 Visit: https://www.risikotek.com/ 📩 Contact: [email protected]
0 Comments
The New Era of Financial Crime Enforcement: Why AML Failures Are Costlier Than Ever in 202611/3/2026  The New Era of Financial Crime EnforcementAcross the global financial system, one message from regulators is becoming unmistakably clear. The era of leniency in financial crime compliance is over. From record fines to cross-border investigations, enforcement authorities are escalating their efforts to identify and punish institutions that fail to detect money laundering, sanctions evasion, and financial fraud. Recent developments show the scale of this shift. In March 2026, U.S. regulators imposed an $80 million penalty against brokerage firm Canaccord Genuity for violations of the Bank Secrecy Act after failing to report suspicious transactions and falsifying monitoring records. The investigation revealed that the firm had neglected to file over 160 suspicious activity reports linked to potentially illicit transfers involving Russian oligarch networks. Cases like this illustrate a growing reality for financial institutions: Regulators are no longer focusing only on whether controls exist. They are evaluating whether those controls actually work. Enforcement Is Expanding Across the Entire Financial SystemRegulators are not limiting their scrutiny to banks alone. In 2026, enforcement actions are spreading across multiple sectors including:
Authorities in several jurisdictions are now dismantling complex laundering networks tied to organized crime and tax fraud. In Italy, financial police recently seized €93 million connected to a major tax laundering operation, highlighting the scale and sophistication of modern criminal networks. Meanwhile, regulators are also expanding supervision into sectors historically considered lower risk. For example, new U.S. initiatives are targeting vulnerabilities in the art market where high value transactions have long created opportunities for money laundering. The trend is clear: Financial crime enforcement is widening far beyond traditional banking. Crypto and Sanctions Evasion Are Driving the Next Wave of InvestigationsOne of the most significant drivers of this enforcement wave is the rapid growth of digital asset related crime. Research published in early 2026 revealed that sanctioned entities received record volumes of cryptocurrency, with state actors and sanctioned networks using digital assets to bypass financial restrictions. According to the analysis:
At the same time, global authorities are increasing pressure on crypto exchanges. South Korean regulators are preparing significant fines against major digital asset platforms over failures to meet AML and KYC obligations. These developments demonstrate how financial crime is evolving into a hybrid ecosystem combining: traditional financial systems digital assets global shell company networks For compliance teams, this creates unprecedented complexity. Why Traditional AML Systems Are StrugglingDespite enormous investments in compliance infrastructure, many institutions still rely on tools that were designed for a very different era of financial crime. Traditional AML frameworks typically focus on:
However, modern financial crime operates through highly adaptive networks, often spanning multiple jurisdictions, technologies, and intermediaries. Regulators increasingly expect institutions to detect:
In other words, compliance is no longer just about monitoring transactions. It is about understanding relationships and patterns within financial ecosystems.  Intelligence Driven Compliance Is Becoming the StandardTo meet these new expectations, financial institutions are shifting toward intelligence-driven AML strategies. This approach integrates multiple sources of risk data including:
Advanced analytics and artificial intelligence then analyze these datasets to uncover hidden patterns that traditional rules based systems miss. Research into next generation AML technologies confirms that graph based analytics and AI driven investigations significantly improve the detection of complex financial crime networks while reducing false positives for compliance teams. The goal is no longer simply compliance. The goal is visibility. Where Modern Investigation Platforms FitThis is precisely where modern intelligence platforms such as AMALIA 2 by RisikoTek play a critical role. Rather than acting as another monitoring tool, AMALIA 2 provides investigators with a comprehensive intelligence environment designed to reveal hidden risk. Key capabilities include:
By combining financial crime expertise with data science, institutions gain the ability to move beyond reactive compliance toward proactive risk intelligence.  The Strategic Reality for Financial InstitutionsFor financial institutions operating in today’s regulatory environment, the implications are clear.
The question regulators are asking is no longer: Do you have AML controls? The question is: Why did your controls fail to detect the crime? Institutions that rely on outdated systems will continue to face regulatory penalties, reputational damage, and operational disruption. Those that invest in intelligence driven compliance will gain a critical advantage. Financial crime is evolving rapidly and enforcement pressure is increasing across every sector of the global financial system. If your institution is exploring how advanced risk intelligence platforms can strengthen financial crime detection, we invite you to learn more about AMALIA 2 by RisikoTek. Visit: https://www.risikotek.com/ Or contact our team: [email protected]  1. Stablecoins in the Regulatory Crosshairs in 2026 For years, stablecoins were viewed as a bridge between traditional finance and blockchain innovation. In 2026, global watchdogs are issuing a stark warning: stablecoins are now the most frequently abused virtual asset for illicit finance, sanctions evasion and money laundering. In its latest public statement, the Financial Action Task Force (FATF) flagged stablecoins as the most popular virtual asset used in illicit transactions, accounting for a disproportionate share of suspect activity on-chain. The watchdog noted stablecoins comprised approximately 84% of illicit virtual asset transaction volume in 2025, often tied to sanctioned actors and cross-border evasion tactics. The total estimated value of such activity was tracked in the trillions per month range last year. This marks a seismic shift in how stablecoins are perceived by regulators — not as benign liquidity tools, but as significant risk vectors for AML/CFT frameworks.  2. What Regulators Are Concerned About Several specific patterns have raised concern:
 3. Enforcement Trends Reflect Escalating Risk Priorities The shift in focus is not abstract — enforcement activity underscores the seriousness of these concerns:
 4. Why Traditional AML Tools Fall Short Against Stablecoin Risks
Stablecoins inhabit a gray zone between traditional finance and crypto rails. Legacy AML tools are typically transaction-centric — focusing on individual tranches of movement or simple rule-based thresholds. But stablecoin use in illicit finance reveals three core challenges that traditional systems struggle with:
5. Intelligence-First Compliance: The Competitive Edge This is where AMALIA 2 by RisikoTek delivers measurable value for compliance and risk teams: Network Intelligence: AMALIA 2 builds multi-layered relationship graphs linking wallets, entities, counterparties and risk attributes — essential when stablecoin flows cross jurisdictional and custodial boundaries. Cross-Domain Correlation: By ingesting data across blockchain transactions, sanctions lists, corporate registries and AML/CFT records, AMALIA 2 identifies complex laundering patterns that siloed systems miss. AI-Assisted Anomaly Detection: Beyond static rules, machine learning surfaces emergent risk patterns, including layering, looping and peer-to-peer flows that are characteristic of stablecoin misuse. Actionable Investigation Outputs: Rather than raw alerts, AMALIA 2 produces contextual investigations ready for reporting, enforcement support and remediation — helping teams act quickly in today’s heightened scrutiny environment. In an era where stablecoin compliance is considered a priority risk domain by global regulators, intelligence technologies are no longer optional but necessary. Call to ActionStablecoins now sit at the intersection of innovation and enforcement risk. Ready your compliance strategy for the next wave of AML expectations. 👉 See how AMALIA 2 by RisikoTek provides the intelligence foundation modern risk teams need. 📩 Email: [email protected] 🌐 Visit: www.risikotek.com Why Banks Still Fail at Financial Crime Detection — And What Modern Risk Intelligence Must Fix25/2/2026  Over the past year, global regulators have issued billions in penalties against financial institutions for anti money laundering failures. One recent report showed that a single enforcement case alone reached nearly $1 billion, reshaping global rankings of AML penalties and highlighting how regulators are becoming more aggressive across jurisdictions. From Europe to the Middle East to Asia, enforcement intensity is not slowing down. If anything, it is accelerating. And that raises an uncomfortable question for the financial industry: Why do institutions continue to fail despite spending billions on compliance? After decades inside banking and risk management, the answer is clearer than many executives would like to admit. The problem is not effort. The problem is architecture. The Illusion of Compliance StrengthMost large institutions believe they are protected because they have: • Transaction monitoring systems • Sanctions screening tools • KYC procedures • Internal audit teams • Compliance departments On paper, this looks robust. In reality, these systems are often fragmented, outdated, and disconnected from real world criminal behavior. Financial crime today operates as networks, not isolated transactions. Traditional compliance systems were never designed to detect networks. They were designed to detect rule breaches. That difference matters enormously. Hero Banner Image PromptA cinematic scene inside a modern bank vault where stacks of money are dissolving into glowing digital data streams, revealing hidden red network connections underneath. A financial investigator silhouette stands in the foreground analyzing holographic risk graphs. Corporate, dramatic lighting. Gradient color theme from dark navy (#123D65) to bright orange (#F15A22). Ultra realistic, high contrast, professional fintech style. Financial Crime Has Become a Data ProblemCriminal organizations now operate using: • Shell companies across jurisdictions • Trade based laundering structures • Crypto enabled payment layers • Professional facilitators • Complex ownership chains This creates a reality where risk is hidden inside enormous datasets. The institutions that fail are not necessarily careless. They are blind.  The Real Weak Point: Investigation SpeedAnother major issue regulators repeatedly identify is delayed detection. Financial crime investigations often take: • Weeks to identify patterns • Months to build evidence • Years before enforcement actions By the time institutions understand what happened, damage is already done. Modern financial crime moves faster than traditional investigation frameworks. This is where technology must evolve. Why Risk Intelligence Is the Missing LayerCompliance tools monitor activity. Risk intelligence explains behavior. That distinction is critical. Next generation platforms must combine: • Network analytics • Corporate intelligence data • Trade data analysis • AI assisted investigation workflows • Behavioral pattern recognition • Cross border entity resolution The goal is not just detection. The goal is understanding risk before it escalates.  The Strategic Shift Banks Must MakeThe institutions that succeed in the next decade will not be those with the largest compliance teams. They will be those with the smartest intelligence systems. This requires moving from: Reactive compliance → Predictive intelligence Manual investigation → AI assisted workflows Data silos → Integrated risk ecosystems This is precisely where advanced investigative platforms such as AMALIA 2 are transforming the landscape. By combining financial crime expertise with data science, institutions gain: • Faster detection of hidden networks • Stronger investigative evidence • Reduced regulatory exposure • Improved operational efficiency Most importantly, they gain confidence. A Banker’s PerspectiveHaving spent years inside global financial institutions, one reality becomes clear: Regulatory risk is no longer a compliance issue. It is a strategic risk. Institutions that fail to modernize risk intelligence will continue to face: • Financial penalties • Reputational damage • Operational disruption • Executive liability Those that adapt early will lead. The Future of Financial Crime PreventionFinancial crime is evolving into a data science challenge. The winners will be organizations that combine: Technology Intelligence Human expertise The tools exist. The question is whether institutions are ready to use them. If you are a financial institution, regulator, or investigative team exploring how advanced risk intelligence can strengthen your financial crime defenses, we invite you to connect with us. Learn more about AMALIA 2: https://www.risikotek.com/ Or contact our team directly: [email protected]  The European IP Landscape Is Changing. Are You Ready?
Cross border enforcement. Strategic litigation shifts. AI entering patent practice. The conversation around IP disruption is no longer theoretical. It is operational. We are proud to share that Elke Biechele, CEO of ALTIX, will be speaking at the LES Jahrestagung 2026 in Düsseldorf. During the session “Industrie – Litigation Game”, leaders from Bayer, Amazon, ZTE, and Nivalion will explore how companies are adjusting their litigation and licensing strategies in a rapidly evolving European patent environment. 📅 04–05 March 2026 📍 Düsseldorf, Germany If you are active in patent litigation, licensing, IP strategy, or legal finance, this discussion directly impacts how you position your next move. What topics do you believe deserve more attention in this forum? What questions should be raised during the panel? Share your thoughts below or message us directly. We would be glad to bring your perspective into the discussion. #IPLaw #PatentLitigation #LicensingStrategy #IntellectualProperty #LegalInnovation #EuropeanPatents #LitigationFinance #LegalTech #LES2026  Why 2026’s $17B Crypto Scam Surge Is a Banking‑Level Risk — An AML Intelligence Perspective1. A Historic Shift: Crypto Scams Hit $17 Billion in 2025 According to the 2026 Crypto Crime Report, an estimated $17 billion was lost to crypto scams and fraud in 2025, an alarming surge that reflects a shift in criminal tactics and scale in the digital asset ecosystem. Impersonation scams skyrocketed by over 1400 percent year‑over‑year, and AI‑enabled fraud was cited as dramatically more profitable than traditional criminal activities. Unlike isolated hacks or individual phishing attempts, these scams now resemble organized financial crime operations, operating with efficiency and infrastructure more akin to regulated industries than fringe threats.  2. From Brick‑and‑Mortar Risk to Digital Systemic Risk In my two decades in banking and risk management — spanning established institutions across Europe and Asia — we saw risk evolve from credit default and market volatility into complex transactional and behavioral threats. Today, the digital asset ecosystem presents similar systemic risk challenges:
These are not incremental threats — they are systemic shifts that require rethinking how risk is detected, managed and mitigated within institutions that now operate at the intersection of traditional finance and digital asset markets. 3. Banking Meets Crypto: A Compliance Collision Course Just as banks in 2026 are modernizing AI, data infrastructure and cross‑domain governance to defend against emerging threats, regulatory expectations are rising simultaneously. The Thomson Reuters Institute’s recent global compliance outlook listed AI, crypto and data privacy among the top compliance concerns for 2026. From a regulator’s lens, the goal is clear: detect, disclose, deter. But enforcement alone — even with record‑breaking penalties hitting financial institutions and fintechs — won’t stop increasingly sophisticated networks that blend technology, anonymity and rapid execution. What banks once did with credit risk models, we now must do with crypto behaviour risk models — and that’s a fundamentally different challenge.  4. The Limits of Traditional AML & How Intelligence Bridges the GapConventional AML controls — threshold triggers, static watchlists and siloed monitoring — were never designed for adaptive, networked threats. Traditional systems are reactive. They trigger after the fact or flag individual anomalies without context — often leaving investigators with false positives and blind spots. This is where the intelligence gap appears: criminals are using AI, social engineering, and interconnected platforms to orchestrate multi‑vector, stealth campaigns that evade straightforward rule‑based systems. Addressing this gap requires:
From my banking experience, the most effective risk controls are predictive, not just preventative — they forecast behavioural shifts before they crystallize into actual loss.  5. AMALIA 2: The Intelligence Engine for Today’s Compliance RealityThis is where AMALIA 2 by RisikoTek matters — not as another monitoring tool, but as an intelligence platform tuned to modern financial crime risk.
Entity Relationship Graphs: AMALIA 2 builds dynamic network maps linking wallets, counterparties, intermediaries and sanctioned entities — revealing hidden clusters that conventional methods miss. Multi‑Source Correlation: Risk signals from blockchain transactions, internal compliance systems, sanctions lists and open‑source intelligence are correlated into a unified framework for real‑time insight. AI‑Enhanced Detection: By combining machine learning with domain‑specific risk models, AMALIA 2 identifies emergent patterns in behaviour, not just rule violations. Actionable Intelligence Outputs: Rather than raw alerts, AMALIA 2 delivers context‑rich insights that investigators and compliance leaders can act on decisively. These capabilities align with cutting‑edge academic research that demonstrates the need for scalable, interpretable graph‑based intelligence in AML workflows — a shift from legacy approaches to true behavioural insight. The sophistication and volume of crypto crime in 2026 demand a new category of AML intelligence — one that sees networks, patterns and relationships, not just transactions. 👉 See how AMALIA 2 by RisikoTek empowers your risk and compliance team with modern intelligence. 📩 Email: [email protected] 🌐 Visit: www.risikotek.com Stop Scams Before They Start: Project Blacklight is Coming to GASS Asia & Operation Crypto Shield18/8/2025   The fight against financial crime and online scams is a global battle that requires innovation, collaboration, and a new approach to intelligence. As financial crime professionals, law enforcement agents, and fraud investigators, you know that the traditional methods of name screening and data analysis are no longer enough to keep pace with sophisticated criminal networks. This is why Project Blacklight is excited to announce our participation in two landmark events this year: the Global Anti-Scam Summit (GASS) Asia 2025 and Operation Crypto Shield Week of Action in September 2025. We invite you to visit our booth and experience a breakthrough in privacy-first, image-based fraud detection. What to Expect from us At both events, we will demonstrate the power of our "Blind Matching" technology. Forget the risks associated with conventional facial recognition. Project Blacklight is built on a simple yet revolutionary principle: your data stays with you. Our system uses a proprietary "Hashing & Salting With Encryption" process to create an anonymized, secure data template. This means that no image or personally identifiable information (PII) ever leaves your domain. Only the anonymized identifier is matched against our extensive database of known criminals and scammers. Here’s what you can look forward to seeing:
A Collaborative Approach to a Global Problem Project Blacklight is not a solo endeavor. Our work is the result of a powerful partnership with leading experts in their fields, bringing together a unique combination of technology and human expertise. We are proud to partner with:
We believe that by combining our expertise, we can turn the tide on financial crime. Our joint effort is designed to provide you with the tools you need to stop scammers and criminals before they can cause harm. Join us at the Global Anti-Scam Summit (GASS) Asia 2025 and Operation Crypto Shield Week of Action in September 2025. Let’s face the facts and build a safer, more secure future together. For more info contact us at [email protected]
Excited to share that the ABC documentary on counterfeits where RisikoTek has been featured in its capacity as the Anti Money Laundering expert is out now!
The documentary was aired live on Australian ABC TV last night at prime time. As per the producers, the show was one of the most watched in Australia and the online piece was the most read in the country!
Dear Esteemed Readers,
We are delighted to present the inaugural edition of RisikoNews, marking the commencement of an ongoing series of informative updates. Our objective in this endeavour is to disseminate the most current news, fostering constructive dialogue within our community, with the ultimate aim of refining and presenting enhanced solutions for your benefit. In the current landscape, artificial intelligence (AI) has gained ubiquity, serving both as a valuable tool and, regrettably, occasionally falling victim to misuse. Given this context, we believe it would be advantageous to acquaint you with our ongoing initiatives within this sphere. Following your consideration of the information provided below, if the "ATTENTION! project" resonates with you and arouses your interest, we cordially invite you to express your keenness to engage further. Subsequently, we would be delighted to coordinate a follow-up meeting, during which we can engage in a comprehensive discussion regarding the prospective avenues for your active participation and valuable contributions in this endeavour. *** ATTENTION! Building an AI-empowered system for the detection and persecution of illicit trade Illicit trade is a problem of massive scale. Smuggling, counterfeiting, mis-invoicing, and money laundering deprives states and societies of taxes, infringes on product and brand rights, compromises product safety – and finances crime. Global Financial Integrity found a gap of US$8.7 trillion in reported trade that ultimately flow into criminal ventures, yet the detection rate is near zero. Currently there are very few tools available to detect complex, large scale illicit trade and its perpetrators. Investigations are time- and cost intensive. Law enforcement often relies on tip-offs while customs must do random checks. Globally we are lacking a science-based understanding of how illicit transactions can be detected, what patterns they are following and how the networks behind them can be traced and persecuted. The ATTENTION! project will analyse the largest trade databases available globally together with extensive Web content and metadata. ATTENTION! will develop Machine Learning models to understand and detect patterns of illicit trade activity and to expose the perpetrators and their support systems. The trade activity of over forty countries over six years will be analysed comprehensively to ensure that all known smuggling methods such as co-mingling are included in the AI and ML models. The Web will be scanned for identified patterns to find new cases and detect the networks of perpetrators and their ecosystems integrating a vast array of 3rd party data sources. Ultimately, the result of ATTENTION! will be a cloud software system that will empower companies and authorities to better detect illicit trade and proceed against its agents. For more information, see: https://attention-project.eu/en/ *** We trust that you found our inaugural issue to be engaging and informative. We highly value your insights and input, which we warmly invite you to share with us. As we possess an array of resources at our disposal, we are eager to tailor our forthcoming editions to align with your specific interests. Allow us to provide a brief overview of some of the tools at our disposal, which we can utilise to craft content that resonates with your preferences or propose something new: AMALIA is an easy to use automated intelligence analytics software built for Enhanced Client Due Diligence and Case Investigations. Space Detective is a unique tool which lets you monitor your areas of interest using satellite imagery. The Trade Data Analysis Dashboard allows investigators to visualise and derive insights from shipping data. Please do not hesitate to specify your preferences or suggest a particular subject that you would like us to explore in our next edition. Your feedback is invaluable in helping us tailor our content to meet your expectations and interests effectively. Thanks for reading it, have a nice day & Kind regards! |
Our Offices
Singapore10 Anson Road, #27-15, 079903 Singapore
|
|
Germany |
|
16 Frankensteiner Straße, 60594 Frankfurt am Main
|
|
|
United States |
|
8 The Green, Suite B, Dover, 19901
Ukraine9B avenue Hlushkova, 03188, Kyiv, Ukraine
|