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.
M365 Copilot
Collaboration and Productivity improvements
MR-DT
Aid safeguards analysts for determining if a reactor is being used in a non-declared way.
AI-Assisted Strategies and Solutions for Environmental Technology (AI-ASSET)
Enable rapid technology transfer of the ALTEMIS AI approaches to new sites and new systems through an automated data analysis and knowledge management toolkit
Consolidated Nuclear Waste Glass Database
Incorporation of several physics-driven machine learning models to predict the properties of nuclear waste glass compositions – in addition, bootstrap other glass computational sc…
Performance Monitoring at the Salt Waste Processing Facility (SWPF)
With data from SWPF instrumentation, train neural networks to consider process parameters and chemical speciation data from incoming salt batches to predict filtration rate perfor…
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…
Dun & Bradstreet Business Establishments Data
The purpose of the AI use case in Dun & Bradstreet Business Establishments Data is to analyze business information, detect irregularities, and assess potential risks more efficien…
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…
National Insurance Crime Bureau ISO ClaimSearch
The purpose of the AI use case in National Insurance Crime Bureau ISO ClaimSearch is to analyze insurance claim data and highlight suspicious patterns or anomalies more efficientl…
Southwest Border Transaction Record Analysis Center (SWBTRAC)
The purpose of the AI use case in Southwest Border Transaction Record Analysis Center (SWBTRAC) is to monitor cross-border financial transactions and identify unusual activities m…
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…
Veritone Redact
The purpose of the AI use case in Veritone Redact is to support ATF in processing Freedom of Information Act (FOIA) requests by automating the redaction of sensitive information w…
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.