DDIQ

DDIQ-Analytics- Risk no-bg-Cropped

The world’s first purpose-built technology designed to manage today’s biggest risk & compliance challenges, DDIQ fast-tracks your path to organized fact-finding so you can make critical decisions with confidence and speed.

OUR TECHNOLOGY

Power Your Decisions with DDIQ

Designed to think and make decisions like a human researcher would, DDIQ is a purpose-built research engine that uses the power of artificial intelligence to find the risks that matter most.

DESIGNED TO WORK FOR YOU

Accelerate Your Due Diligence with DDIQ

Gain unique insight from a vast breadth of supply chain relationships and risk data at your fingertips – across sanctions, trade embargoes, enforcement, state-owned flags, cyber risk, modern slavery, adverse media and more. 

False Positive & Noise Reduction
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Data Sources Already Integrated, Including Premium Data Sources, Open Web, Deep Web & Watchlists
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Access to Information from 6B People & 300M Companies
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Fuzzy Matching, Deduplication and Entity Resolution
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Designed by Risk & Compliance Professionals

Focused on creating solutions to modernize risk management, DDIQ ingests and interprets data from any source, identifies the information relevant to your subject and risk-ranks the information to help prioritize review and accelerate adjudication.

“We broke down the life of an onboarding KYC file … the majority of the hours were spent on negative news screening. If you think about how you can achieve a 60% reduction, it also means that analysts can do more files … with the utilization of technology.”

Mark Kaplan

Chief Operational Officer, Cantor Fitzgerald 

Awards

Award-Winning Technology

DDIQ leverages award-winning AI and NLP backed by a hyper scaling database infrastructure. We’ve simplified and democratized supplier research for you in a streamlined, user-friendly interface that removes the noise of traditional, manual methods.

Learn more about the technology platform behind our solutions. 


See how DDIQ can help you.

our blog

Perspectives

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