DDIQ

DDIQ is a purpose-built research engine developed by Exiger. According to the vendor, it leverages the power of artificial intelligence to find and manage risks, enabling users to make informed decisions efficiently. DDIQ is said to be suitable for companies of all sizes, ranging from small businesses to large enterprises. It caters to a wide range of professionals and industries, including risk and compliance professionals, financial institutions, corporations, the federal public sector, and the defense industrial base.

Purpose-Built Research Engine: DDIQ is designed to think and make decisions like a human researcher would, according to the vendor. This feature aims to enable users to make critical decisions with confidence and speed.

Information Integration: DDIQ integrates information from various sources, including structured watchlists, structured premium news, open web sources, and proprietary lists, according to the vendor. This feature is intended to provide users with a centralized platform for accessing all the relevant information they need.

Configurable Risk Rules: DDIQ allows users to organize information using configurable risk rules, according to the vendor. It is claimed to be a fully auditable artificial intelligence system that facilitates real-time audits. By categorizing information by relevance and risk-event, this feature is designed to help users prioritize their review and decision-making processes.

Clear Risk Profiles: DDIQ enables users to create clear risk profiles for subjects, providing guidance on the high, medium, and low contributors to risk, according to the vendor. This feature aims to help users monitor subjects efficiently and make informed decisions based on up-to-date information.

Vast Breadth of Risk Data: DDIQ offers access to a wide range of risk data, including sanctions, trade embargoes, enforcement, state-owned flags, cyber risk, modern slavery, and adverse media, according to the vendor. This feature is intended to provide users with unique insights into supply chain relationships and potential risks.

False Positive & Noise Reduction: DDIQ incorporates fuzzy matching, deduplication, and entity resolution techniques to reduce false positives and noise in the data, according to the vendor. This feature aims to help users focus on the most relevant and accurate information, saving time and effort in the review process.

Designed by Risk & Compliance Professionals: DDIQ is designed by risk and compliance professionals who understand the challenges and requirements of modern risk management, according to the vendor. This feature is built to address the specific needs of risk professionals, providing them with the tools and capabilities to streamline their due diligence processes.

Award-Winning AI and NLP: DDIQ leverages award-winning artificial intelligence (AI) and natural language processing (NLP) technologies, according to the vendor. It is backed by a hyper scaling database infrastructure, ensuring high performance and scalability.

Streamlined User-Friendly Interface: DDIQ offers a streamlined and user-friendly interface that simplifies supplier research, according to the vendor. It is designed to remove the complexities of traditional manual methods, allowing users to navigate and utilize the platform effectively.