Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Time, technology, and resource limitations often hinder personnel from fully utilizing the vast amounts of historical data and new information available. This uncertainty surrounding the data prevents the extraction of crucial insights and the formulation of effective recommendations. Additionally, classified materials cannot be transferred from secure networks to open-source AI systems, complicating data analysis. Current AI frameworks are inadequately tailored for defense and intelligence applications, lacking the relevant terminology and context. Stakeholders often require detailed written reports and briefings, which can be laborious and time-consuming to produce. Therefore, there is a pressing need for a flexible solution capable of performing translation, offering coding support, and extracting insights from the data. By thoroughly analyzing all accessible information, you can quickly pinpoint trends, insights, and anomalies. This approach not only speeds up intelligence cycles but also ensures comprehensive analysis without missing critical data. With Donovan, documents can be accurately translated to preserve their semantic nuances and contextual meaning, ultimately enhancing the quality of intelligence outputs. Furthermore, this solution can also facilitate better collaboration among various stakeholders, ensuring that insights are effectively communicated and utilized.
Description
SRC's Silent Archer technology provides comprehensive counter-drone capabilities to neutralize both individual hostile drones and swarms. It effectively detects, tracks, classifies, identifies, and engages UAS threats, while also electronically disrupting UAS ranging from groups 1 to 5, including swarms. This technology enhances kinetic weapon systems, contributing to a layered defense strategy. It has become the preferred solution for protecting VIPs and is utilized by both the U.S. Army and Air Force for force protection purposes. With its open architecture and sensor-agnostic framework, Silent Archer allows seamless integration with nearly any command and control system, kinetic weapon system, or additional sensor platforms, thus expanding its operational functionality. Furthermore, the system is designed to capitalize on various established SRC technologies, maintaining the flexibility to work with nearly any existing defense solution. Available in several configurations, the Silent Archer system is adaptable to meet the needs of diverse missions and operational scenarios. This versatility makes it an invaluable asset in today's evolving threat landscape.
API Access
Has API
API Access
Has API
Integrations
AWS GovCloud
Defense Llama
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Scale
Founded
2016
Country
United States
Website
scale.com/donovan
Vendor Details
Company Name
SRC
Founded
1957
Country
United States
Website
www.srcinc.com/products/counter-uas/silent-archer-counter-uas.html
Product Features
Artificial Intelligence
Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)
Government
Budgeting & Forecasting
Code Enforcement
Compliance Management
Fixed Asset Management
Inventory Management
License Issuance
Permit Issuance
Purchasing & Receiving
Self Service Portal
Taxation & Assessment
Utility Billing
Work Order Management