FinCrimeTech AI

Let AI drive your financial crime risk & compliance. We provide an AI-based analytics platform to fight financial crime.

General Information
Company Name
FinCrimeTech AI
Founded Year
2021
Location (Offices)
Montreal, Canada +1
Founders / Decision Makers
Number of Employees
2
Industries
AI, Analytics, Financial Services +4
Funding Stage
-
Social Media

FinCrimeTech AI - Company Profile

FinCrimeTech AI is an applied artificial intelligence-based company specializing in financial crime analytics solutions. The company's AI-based analytics platform is designed to drive financial crime risk and compliance. Composed of researchers, data scientists, computer scientists, and machine learning engineers, their team focuses on next-generation intelligence system architecture to assist financial institutions in combating financial crime risk more accurately, safely, and efficiently with less effort. The AI engine utilized by FinCrimeTech AI is a general teachable machine that has been developed with the most advanced artificial intelligence, machine learning, and deep learning models. It features an internal self-training machine engine capable of understanding all concepts of financial crime and supporting AML analysts like humans and compliance officers. Moreover, FinCrimeTech AI's AI core engine functions as a bilingual agent system, combining human intelligence and machine effectiveness to address various aspects such as advanced customer due diligence, fraud, AML/TF, PEPs, sanction economics, adverse media search, name entity recognition, trade-based AML, country financial crime risk ranking, reputational risk, social network screening, and semantic knowledge graph builder for criminal interaction network detection. Founded in 2021, FinCrimeTech AI operates within the industries of AI, Analytics, Financial Services, Fintech, Information Technology, SaaS, and Machine Learning. To learn more, interested parties can contact the company at [email protected].

Taxonomy: financial crime risk, AML solutions, AI-powered analytics, deep learning models, reputational risk, client screening, fraud prevention, insurance fraud detection, adverse media search, name entity recognition, social network screening, compliance technology, customer due diligence, bilingual agent system

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