Data is fragmented
Investigators often work across spreadsheets, structured records, unstructured material and separate systems. The analytical question is lost in the handoffs.
RisikoTek is a financial crime detection software and services company. Its AMALIA platform helps investigators analyze data in plain English, connect entities and networks, examine sanctions links, apply typology-led rules and collaborate on cases.
Harmonizing 500+ customs bills of lading with international wire transfers.
Jurisdiction: BVI / Cayman
Every factual statement in this prototype is mapped to a source ledger.
RisikoTek combines investigation software and specialist services to help organizations detect, investigate and respond to financial crime. AMALIA is the company’s investigation platform; expert teams also provide investigations, enhanced due diligence, compliance advisory, training and legal-funding introductions.
Traditional lists and isolated alerts may show individual facts. Investigators need context: which records refer to the same person, how companies are connected, where goods moved, and which red flags deserve escalation.
Investigators often work across spreadsheets, structured records, unstructured material and separate systems. The analytical question is lost in the handoffs.
Shell companies, intermediaries, trading routes and aliases can make activity look disconnected when it belongs to one network.
Financial crime typologies live in guidance, case experience and expert judgment. Teams need a practical way to apply that knowledge to data.
AMALIA is positioned around the investigator’s question—not the data scientist’s workflow. RisikoTek states that investigators can write analytical rules in plain English, work across multiple files, build networks, resolve entities, review sanctions involvement, apply typologies and collaborate through case management.


The capability structure is explicit so search engines and answer engines can distinguish what the platform does from the outcomes buyers seek.
Reveal relationships across companies, individuals, transactions and behaviors through interactive network analysis.
Visualize client-supplied shipping data to examine volumes, commodities, lanes, shippers and importers.
Use fuzzy matching to find potential links in lists of people, suppliers, vendors and counterparties, then investigate the surrounding context.
Recognize and connect records across sources and formats despite spelling, transposition and phonetic variation.
.png)
RisikoTek’s current Trade Data Dashboard works with client-supplied Panjiva shipping data and can report on volumes, commodities, lanes, shippers, importers and shipping patterns. In the redesigned site, that factual capability becomes the foundation of a clear trade-intelligence and TBML story.
Support AML investigations, sanctions reviews, enhanced due diligence, transaction-data analysis and regulatory readiness.
Support complex network investigations, illicit-market research, corruption matters and evidence-led case development.
Investigate suppliers, counterparties, counterfeit activity, trade patterns and hidden corporate relationships.
Build compliance frameworks and investigate digital-asset related financial crime within a broader risk context.
RisikoTek’s current offering includes financial crime investigations, enhanced due diligence, compliance policy and governance reviews, licensing support, implementation support, staff augmentation and tailored training.
Research illicit markets, fraud, asset locations, corporate networks and trade routes.
Review policies, governance, risk assessments, systems and difficult cases.
Train teams on AML, sanctions, KYC, transaction monitoring, investigations and governance.
AMALIA and its capabilities sit under Platform. Buyer problems sit under Solutions. Human-delivered work sits under Expert services. This prevents search systems from misclassifying RisikoTek as only a consultancy.
The prototype avoids invented customer names and fabricated metrics. It presents only generalized case descriptions already published by RisikoTek.
RisikoTek says it prepared and digitized typologies that detected seven methods used to move funds through banks.
RisikoTek says it traced trading routes, parties, online sales portals and recipients of funds.
RisikoTek says it supported a government agency by identifying methods, trade trails, source players and recipients.
RisikoTek says it supported an NGO by extending field findings through database research and relationship analysis.
The Intelligence Library separates education from sales copy. Each article starts with a concise definition, explains how the problem works, lists investigation considerations, links to authoritative sources and then describes where RisikoTek’s capabilities may assist.
A plain-language definition grounded in FATF material, followed by common mechanisms, investigation questions and relevant RisikoTek capabilities.
An explanation of matching and connecting records when names and identifiers vary across sources.
Corporate Vision lists RisikoTek Pte Ltd as the 2021 winner of this Corporate Excellence Award. The wording here matches the independent award page and avoids broader, unsupported recognition claims.
Discuss AMALIA, an investigation, enhanced due diligence, trade analysis, sanctions screening, compliance advisory or training.