Facial Recognition for National Security and Transnational Criminal Organizations
USBP works to address challenges in identifying individuals who may be associated with national security concerns or transnational criminal organizations, especially in situations…
RAPTOR (Rapid Tactical Operations Reconnaissance)
Provide Tactical Domain Awareness for CBP Agents, making law enforcement efforts more efficient.
Autonomous Surveillance Tower
CBP's limited manpower constrains its ability to manually monitor all areas of the border at all times. To account for this limitation, surveillance and sensor systems assist in m…
Automated Item of Interest Detection
The software is designed to analyze photographs and video feeds captured by field imaging equipment for review by U.S. Border Patrol (USBP) agents and personnel. Using proprietary…
Vessel Detection
The system uses AI-enhanced technologies and analytics to improve maritime detection and tracking in areas with significant trade and recreational water vessel activity. The syste…
Biometric Check-in for ATD-ISAP (SmartLINK)
This use case intends to solve the problem of the need for frequent in-person check-ins for participants in the ATD-ISAP program.
Email Analytics for Investigative Data
This use case intends to solve the problem of the time-consuming and resource-intensive process of preparing multilingual email data for analysis.
Person-Centric Identity Services Information Compilation Check
The output of the use case is the numerical confidence score which is used to determine the validity of the A-number presented in search results. The confidence score identifies w…
Passport Anomaly Model
The Passport Anomaly Model addresses challenges stemming from the lack of formal notification regarding updates to passport series, such as issuance of new series or expiration of…
Agriculture Commodity Model (AGC)
AI/ML Model aids CBP personnel in accurately and efficiently identifying cargo shipments at risk for agricultural pests in compliance with APTL's agricultural monitoring program.…
Trade Entity Risk Model
The need to continuously assess and identify trade entity risk to help better assess cargo threats.
CargoNet
The purpose of the AI use case in CargoNet is to detect and interpret patterns within logistics and theft incident data automating the process of identifying unusual activities or…
LexisNexis Accurint
The purpose of the AI use case in LexisNexis Accurint is to merge and analyze an array of public and proprietary records to build a clearer picture of individuals and entities. By…
Mark43 Public Safety Records
The purpose of the AI use case in Mark43 Public Safety Records is to organize, categorize, and correlate extensive law enforcement data from various sources. By employing AI-drive…
Spokeo
The purpose of the AI use case in Spokeo is to aggregate and enrich publicly accessible personal data to create comprehensive profiles. AI-based entity resolution, data linkage, a…
Thomson Reuters CLEAR
The purpose of the AI use case in Thomson Reuters Clear is to consolidate and analyze diverse records, creating coherent profiles of individuals and entities. By applying AI-drive…
TransUnion TLOxp Online Investigative Services
The purpose of the AI use case in TransUnion TLOxp Online Investigative Services is to gather and analyze diverse personal, financial, and asset-related data more effectively. By…
SAS (Forecasting, predictive analytics, data/statistical analysis)
Forecasting market conditions using various data sources for economic analyses.
R (Forecasting, predictive analytics, data/statistical analysis)
Forecasting market conditions using various data sources for economic analyses.
Stata (Forecasting, predictive analytics, data/statistical analysis)
Forecasting market conditions using various data sources for economic analyses.
Matlab (Forecasting, predictive analytics, data/statistical analysis)
Forecasting market conditions using various data sources for economic analyses.
Databricks (Forecasting, predictive analytics, data/statistical analysis)
Client-side and SaaS products that contains fundamental modeling, AI and machine learning techniques for predictive modeling, natural language processing, computer vision and deep…
Data & Analytics: Threat and Security Incident Monitoring
DEA wants to improve its real-time collaboration, executive protection, and agent safety with data-driven situational awareness, and identify potential threats using entity resolu…
Data & Analytics: Transportation OCR
DEA needs a reliable, accurate way to identify the cartel or other organization associated with a seized drug exhibit.