Use Cases
Stay mission-ready
- Predictive maintenance
- Real-time situation monitoring, no matter the data source
Optimize response
- Scenario modeling
- Resource allocation
Mitigate risk
- Identify network vulnerabilities
- Proactively monitor and identify activity of concern
What clients are saying
Timely decisions with accurate predictions
“Virtualitics created some predictive [covid] models… we started tracking their predictions and then we went back and tracked how accurate they were …It was incredibly accurate, certainly more than accurate enough for us to make very timely decisions.”
General Timothy Ray
Commander, Air Force Global Strike Command
Case Studies
Increasing up-time with predictive maintenance
The Air Force increased the mission-capable rate of aircraft with a 50% reduction in unscheduled maintenance events
Challenge:
The US Air Force strives to maintain high levels of “mission-capable” aircraft to ensure the right aircraft are available to carry out its mission at a moment’s notice. Their mission was compromised by:
- Aircraft downtime due to maintenance issues, which carries a massive cost of upwards of $28,000 per hour, in addition to the threat to readiness.
- The data being collected by maintenance crews and systems logs couldn’t be mined for meaningful information because of the disparate and unstructured formats.
- The inability to predict downtime and take preventative action, such as ordering the right part to the right location, even when the root cause of downtime was known.
Approach:
To improve the mission-capable rate of aircraft, the Air Force partnered with Virtualitics to implement the Virtualitics AI Platform to apply AI-driven predictive models to predict the overall downtime rate and identify systems likely to fail with enough lead time to take proactive steps to mitigate that downtime.
- The Virtualitics AI Platform applied natural language processing to the free-text notes maintained by aircraft maintainers to extract, categorize and rank maintenance activities and format the data so that it could be fused with the other data sources.
- Multiple data sources, including the maintenance notes, equipment logs, flight activity, and weather data, were fused and analyzed by the platform.
- The Virtualitics predictive model was able to identify and predict what maintenance will be required, and when, and suggest which actions should be taken.
- A maintenance reporting dashboard was created for management to identify and plan for upcoming maintenance within their current workflows and systems.
- Coming soon is functionality that will automatically pass maintenance alerts directly to the right technical team and dispatch part orders to inventory systems for automated order management.
Results:
- Projected reduction of annual maintenance costs by $15M
- 50% reduction in unscheduled maintenance events
- 3% increase in mission capable rate across monitored fleet
Highlights:
- 8-12 weeks from kickoff to implementation
- 7 years of historical data
- 3 data sources; 300,000 AI models evaluated
Increasing up-time with predictive maintenance
Creating and sharing geospatial analyses
The DoD ISR performs AI-assisted analysis of multi-format data in seconds and overlays the results on 3D photogrammetric terrain maps
Challenge
The volume of unstructured data monitored across the Department of Defense is increasing exponentially, not just in size but also in variety and the volume coming in every day. Making sense of—let alone extracting value from—this wide array of disparate and ever-growing data sources was proving difficult. Communicating any insight found out to people in the field was also hampered.
Approach
The Virtualitics AI Platform was deployed across users to collapse the data pipeline—from sensor to warfighter— and add value to existing, proprietary data sources. Providing analysts with this powerful solution allowed them to accelerate time to insight and augment existing ISR workflows. Python API connects to existing tech stacks, and geospatial visualization and network graph functionalities allow operators to quickly generate immersive visualizations.
Results:
- Graph capabilities that are 100x faster than other solutions currently available on the market, because every second counts.
- The transformation of vast amounts of unstructured data into highly structured, machine-readable data with Virtualitics’ patented network extractor, increasing the analytic capabilities of analysts
- Geospatial visualizations that enable operators to perform AI-assisted analysis in seconds, then overlay results on 3D photogrammetric terrain maps.
Creating and sharing geospatial analyses
Read more
News
US Space Force Awards Virtualitics contract to tackle space domain awareness
The U.S. Space Force’s Space Systems Command’s Cross-Mission Ground & Communications Enterprise (ECX) has partnered with Virtualitics to deploy the Virtualitics EMI Tool (VET) and develop additional advanced Artificial Intelligence solutions for Space Domain Awareness.
News
Air Force Nuclear Weapons Center selects Virtualitics for predictive maintenance & sustainment
Air Force Nuclear Weapons Center (AFNWC) has awarded Virtualitics a lucrative contract from its first ever “Pitch Day” to help advance the organization’s mission of delivering nuclear capabilities to deter America’s near peer rivals and assure allies.
News
Virtualitics selected for the Air Force strategic award
The award was announced by the Secretary of the Air Force, Barbara Barrett, and Assistant Secretary of the Air Force for Acquisition, Technology, and Logistics, Dr. Will Roper, at the Air Force’s virtual “Pitch Bowl” event.
Our federal partners are leveraging AI to improve efficiency to better enhance our branches in the military.
