SBIR-STTR Award

Launch Alert Software with Natural Language Processing using Vigilant Intelligent Workspace
Award last edited on: 9/28/2022

Sponsored Program
SBIR
Awarding Agency
DOD : AF
Total Award Amount
$1,005,900
Award Phase
2
Solicitation Topic Code
AF191-008
Principal Investigator
Carl Ingram

Company Information

Vigilant Technologies (AKA: Chandler Automated Systems LLC)

4500 South Lakeshore Drive
Tempe, AZ 85282
   (480) 722-1227
   helpdesk@vigilant1.com
   www.vigilant1.com
Location: Single
Congr. District: 09
County: Maricopa

Phase I

Contract Number: FA9453-19-P-0645
Start Date: 6/3/2019    Completed: 6/3/2020
Phase I year
2019
Phase I Amount
$75,000
Our innovation is an Intelligent Dynamic Workspace that leverages machine learning to provide data fusion and organization. The solution provides the warfighter with a dashboard interface, powered by a user-level Micro-AI, solving the problem of aggregating digital data and also analyzing it for relationships and relevancy. The system then suggests contextual solutions, improving the warfighter's response and resolution time by 30 to 60 percent.It is common for warfighters to utilize specialized software to accomplish tasks based on the mission, but for that software to be incompatible with other platforms. Our solution's Micro-AI component gathers data from all available platforms and dynamically presents organized results to end users. The workspace is end-user configured, using natural language phrases to connect to all the users collaborative tools in one place, enabling users to be effective in minutes. The solution is highly adaptable to a wide range of potential applications.The solution enables its user-level AI to suggest workflows, monitor users, provide predictive analytics, aggregate data for action, and communicate with other disparate software platforms, thus making it possible for each user to accomplish work faster and reach solutions sooner. This assists the warfighter to be more effective overall in accomplishing mission goals.Data Fusion,machine learning,artificial intelligence,Data Mining,Multi-domain,AUTONOMOUS,Workflow,decision support

Phase II

Contract Number: FA8808-20-C-0010
Start Date: 11/6/2019    Completed: 11/6/2020
Phase II year
2020
Phase II Amount
$930,900
NSDC satellite operators are faced with the critical and often overwhelming task of tracking maneuvers and maintaining custody of approximately 20,000 objects in space during their missions. The mission is made more difficult due to the need for operators to manually consult various sources of information to determine positions and trajectories in order to engage proximity alerts when satellites are facing potential collisions or other interference. The proposed solution will be designed to use natural language processing on unclassified internet and classified internet sources to identify upcoming launches and orbit changes, provide machine-generated alerts to 3rd party visualization systems, correlate new objects in Space-Track.org with machine-generated alerts, read DEFSMAC-generated alerts, and also alert operators of any unanticipated launches based on classified data. The solution will greatly improve NSDC custody maintenance operations, making them faster, more efficient, and more reliable.