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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

VACIS systems conduct scans on various vehicles such as cargo containers, trucks, railcars, buses, and passenger cars to assist authorities in detecting narcotics, weapons, nuclear materials, undeclared items, and other illegal goods at entry points, border crossings, military sites, and various checkpoints. Leidos stands out as a pioneering force in the realm of non-intrusive inspection technology, with their systems being deployed globally for both governmental and commercial entities since their introduction in 1999. Each VACIS system comes equipped with comprehensive installation, training, maintenance, and technical support. Designed with the shortest wheelbase and lightest weight in its class, these systems enhance maneuverability and handling, featuring an industrial chassis intended for firetruck operations. Additionally, they boast a global support network and a sophisticated high-energy imaging system capable of material discrimination. These advantages, coupled with advanced AI and machine learning capabilities, empower inspectors to efficiently and accurately identify weapons, contraband, undeclared cargo, and other prohibited items, significantly streamlining the inspection process. As a result, VACIS systems play a crucial role in enhancing security measures worldwide.

Description

All enterprise data must be integrated, managed, secured, and analyzed. Data is a valuable asset for organizations. There is a lot of it. Structured data such as log files, spreadsheets, tables, and charts. Unstructured data such as emails, documents, images, videos, and spreadsheets. These data are often stored in disconnected systems where they quickly diversify in type and increase in volume, making it more difficult to use each day. People who depend on this data don’t think in terms if rows, columns, or just plain text. They think about their organization's mission, and the challenges they face. They want to be able to ask questions about their data, and get answers in a language that they understand. The Palantir Gotham Platform is your solution. Palantir Gotham combines and transforms any type of data into one coherent data asset. The platform enriches and maps data into meaningfully defined objects, people, places, and events.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Malbek No 
Palantir Apollo No 
Palantir Foundry No 

Integrations

Malbek Yes 
Palantir Apollo Yes 
Palantir Foundry Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Leidos

Founded

1969

Country

United States

Website

www.leidos.com/products/vacis

Vendor Details

Company Name

Palantir Technologies

Founded

2003

Country

United States

Website

www.palantir.com/palantir-gotham/

Product Features

Product Features

Big Data

Collaboration No 
Data Blends No 
Data Cleansing No 
Data Mining No 
Data Visualization No 
Data Warehousing No 
High Volume Processing No 
No-Code Sandbox No 
Predictive Analytics No 
Templates No 

Data Analysis

Data Discovery No 
Data Visualization No 
High Volume Processing No 
Predictive Analytics No 
Regression Analysis No 
Sentiment Analysis No 
Statistical Modeling No 
Text Analytics No 

Qualitative Data Analysis

Annotations No 
Collaboration No 
Data Visualization No 
Media Analytics No 
Mixed Methods Research No 
Multi-Language No 
Qualitative Comparative Analysis No 
Quantitative Content Analysis No 
Sentiment Analysis No 
Statistical Analysis No 
Text Analytics No 
User Research Analysis No 

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