BlockchainIntel believes that blockchains are a big part of the future. We also believe blockchains enable financial freedom and governance unparalleled in traditional systems. In order for blockchains to flourish, it’s important to trust the person or machine you’re interacting with in a network and detect criminal abuse of the technology. BlockchainIntel provides evidence you need to trust the entity with whom you are transacting or exchanging confidential information.
With over 20 years of experience in technology companies, Karen is co-inventor of 5 patents and has worked in a variety of engineering, marketing and sales roles to bring new products to market. Previously at BlockCypher, she helped companies use blockchain web services to create new applications that worked across multiple blockchains. In addition to helping companies build blockchain applications, she has led Data Integration, Business Intelligence, and CRM teams at startups acquired by IBM and SAP and companies such as Siebel Systems and Informatica. She has also worked closely with standards organizations such as SWIFT, NACHA and ACORD. As an undergraduate at Stanford University, Karen co-founded BASES, one of the largest student run organizations at Stanford today dedicated to entrepreneurship. Karen has a Bachelors of Science degree in Management Science and Engineering from Stanford University.
Chuck Lam is a serial entrepreneur and experienced technologist. He co-founded and sold RollCall, a mobile application for social events to StubHub. He has been a big data pioneer, publishing Hadoop in Action in 2010, a book that introduces Hadoop and teaches readers how to write simple programs before outline best practices and design patterns. Building on his passion for data, Chuck has used his machine learning and analytics expertise on credit scoring for micro-financing and related projects. He also co-founded BASES, Business Association of Stanford Entrepreneurial Students, with Karen Hsu. Chuck holds 2 patents and has a Masters and PhD from Stanford in Electrical Engineering.
Specializes in Regulatory Compliance Policy & Procedures Implementation; Regulatory Compliance Monitoring & Audit; Enterprise-wide Regulatory Compliance Risk Assessment. She started her career at Union Bank, NA in both Lending Operations and Consumer Lending Compliance departments. Most recently, she has spent time focusing on BSA/AML/OFAC/CFT Compliance in relation to FinCEN's Money Service Business (MSB) Regulatory Requirements for Blockchain/Cryptocurrency/Virtual Currency. She has a Master of Business Administration – International Business Administration from National University, San Diego, California; and a Bachelor of Science in Business Administration from United States International University – Africa. She is a member of the Association of Certified Anti-Money Laundering Specialists (ACAMS) and holds the Certified Anti-Money Laundering Specialist (CAMS) certification.
The Risk Score API provides a risk score for each entity, address and/or transaction. The score is based on the Blockchain Data Score™, known social media profiles and blockchain activity such as geographic location, fraud, and interactions with exchanges, mining pools, Darknet or other sites. For devices, the score is also based on data coming from the device itself and other industry data.
BlockchainIntel enables clients to customize the existing risk scoring methodology based on requirements. BlockchainIntel provides use case workshops, architecture reviews and application development as needed.
BlockchainIntel provides reports for one more addresses or transactions, in batch or real-time. See “Explore Crypto Scoring” for an example of scoring for a single cryptocurrency address. Examples of scoring for other blockchains can be supplied upon request.
Risk score testing will be performed in a test environment to ensure quality of scoring in production.