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What is Silent Archer?
SRC's Silent Archer technology offers extensive capabilities for countering drone threats, effectively neutralizing both single hostile drones and swarming attacks. It excels in the detection, tracking, classification, identification, and engagement of unmanned aerial systems (UAS), while also providing electronic disruption for UAS ranging from groups 1 to 5, including swarms. By enhancing kinetic weapon systems, this technology plays a crucial role in a comprehensive defense strategy. As a preferred solution for VIP protection, it is adopted by both the U.S. Army and Air Force to ensure force safety. Its open architecture and sensor-agnostic design facilitate seamless integration with a wide range of command and control systems, kinetic weapon systems, and additional sensor platforms, thereby broadening its operational capabilities. Moreover, the system is built to leverage various established SRC technologies, ensuring it can adapt to nearly any existing defense framework. Offered in several configurations, Silent Archer can be tailored to suit a variety of missions and operational contexts. This adaptability not only enhances its effectiveness but also solidifies its position as an essential resource in the face of today's dynamic threat landscape. Ultimately, the Silent Archer represents a forward-thinking approach to counter-drone technology that continues to evolve with emerging challenges.
What is Palantir Gotham?
Integrating, managing, securing, and analyzing all organizational data is essential for modern enterprises. Data represents a crucial asset for businesses, and its sheer volume is staggering. It encompasses both structured formats, like log files, spreadsheets, tables, and charts, as well as unstructured forms, including emails, documents, images, videos, and more. Often, this data is stored across various disconnected systems, leading to a proliferation of types and an escalating volume that complicates its usability over time. Users reliant on this data do not categorize their needs into rows, columns, or mere text; instead, they focus on their organization's objectives and the challenges they encounter. They seek the ability to pose questions about their data and receive insights in a context that resonates with them. The Palantir Gotham Platform offers a robust solution to this problem. By integrating and transforming diverse types of data into a unified asset, Palantir Gotham enhances and categorizes information into clearly defined entities, including objects, individuals, locations, and events, thereby facilitating more informed decision-making. Ultimately, this platform empowers organizations to navigate their data landscape more effectively.
Integrations Supported
Palantir Apollo
Palantir Foundry
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
SRC
Date Founded
1957
Company Location
United States
Company Website
www.srcinc.com/products/counter-uas/silent-archer-counter-uas.html
Company Facts
Organization Name
Palantir Technologies
Date Founded
2003
Company Location
United States
Company Website
www.palantir.com/palantir-gotham/
Categories and Features
Categories and Features
Big Data
Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates
Data Analysis
Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics
Qualitative Data Analysis
Annotations
Collaboration
Data Visualization
Media Analytics
Mixed Methods Research
Multi-Language
Qualitative Comparative Analysis
Quantitative Content Analysis
Sentiment Analysis
Statistical Analysis
Text Analytics
User Research Analysis