Appointments Reflect Continuing Growth for the Company’s AI-driven
Analytics Solution Among the Armed Forces

Pasadena, Calif. – May 25, 2023 – Retired four-star US Army General John “Mike” Murray and former US Navy Vice Admiral Timothy (T.J.) White have joined Virtualitics, Inc.’s Federal Advisory Board. They bring with them decades of strategic expertise that will transform the company’s artificial intelligence and data exploration solutions. 

“It’s a true honor to welcome these two distinguished military leaders as key advisors,” said Michael Amori, Virtualitics CEO and co-founder. “We see it as a testament to both our commitment to the vital work of the US Department of Defense and to the caliber of our technology.”

The two appointments reflect Virtualitics’ expanding work with the Department of Defense and the Intelligence Community. The company has partnered with the defense and national security community since 2017 on projects ranging from operational readiness, investment analysis and mission support, and intelligence analysis, among others.

General Murray rose from commissioned infantry officer to become the first Commanding General of United States Army Futures Command (AFC), a public-private initiative. There, he was charged with running technology-heavy modernization projects for the Army. Murray previously was a deputy to the Chief of Staff of the US Army, serving as principal advisor for materiel requirements. He capped his nearly four-decade Army career in 2022. 

“I am thrilled to join Virtualitics’ exceptional team, said General Murray. “As the former commander of Army Future Command, I’ve witnessed the immense power of emerging technologies, particularly artificial intelligence. I’m determined to expedite the delivery of cutting-edge tech to empower our warfighters.”

Vice Adm. White served as a navy Surface Warfare Office aboard the USS Missouri (BB63) and as a career cryptologist and cyber operations professional. His Flag tours included duty at NSA, as Director of Intelligence at US Pacific Command, and as Commander, U.S. Cyber National Mission Force / USCYBERCOM and Commander, U.S. Fleet Cyber Command/U.S. 10th Fleet/Navy Space Command. He holds degrees in Mechanical Engineering, Systems Technology, and National Resource Strategy.

“Having witnessed the profound impact of AI on mission outcomes during my time in the Navy, I am thrilled to join Virtualitics,” said Timothy White. “Their exceptional team and innovative technology empower data teams to swiftly uncover and explore intricate patterns. I am committed to leveraging my expertise to help shape AI-driven analytics for the DoD and Intelligence Community, propelling future success.”

As an important partner with the US Department of Defense (DoD), Virtualitics provides AI-driven analysis for operational readiness, anomaly detection and object tracking, and other intelligence agency and military mission support. 

At the upcoming DoD Intelligence Information System Worldwide Conference, we’ll be showcasing how existing intelligence methods can evolve with machine learning, how extended reality is being leveraged by the services, and how AI is being used for strategic and tactical advantage. 

DoDIIS is the premier information technology gathering for companies and agencies jointly developing the technologies that support the warfighter and maintain American strategic and tactical advantage. Here’s a rundown of how to connect with Virtualitics in San Antonio December 12-15.

Using AI to Enhance Existing Tools and Processes – December 13, 12:25, Fiesta Theater

Kyle Rice, Federal CTO for Virtualitics, will host a coffee talk on how to efficiently transition from existing, proven intelligence analysis tools to the latest AI-enabled tools that are better equipped to handle ever-increasing data requirements. Attendees will learn how advanced AI algorithms can automate and enhance portions of workflows, without requiring existing tools and processes to be jettisoned.

AI Evolution – December 13, 15:00-16:00, Breakout 8, Room 304 BC

Kyle Rice, Federal CTO for Virtualitics will take part in a panel discussion on leveraging human-machine teaming to achieve strategic and tactical advantages in an era of Strategic Competition. Covering both Intelligence Community and DoD perspectives, the discussion will show how AI can contribute to preventing and decisively winning wars. 

Extended Reality in the Government – December 15, 11:00-12:00, Breakout 8, Room 304 BC

Human-machine interfaces for XR were recently identified as 1 of 14 critical technology areas for the Department of Defense. Andrew Green, Vice President of DOD Product and Customer Success for Virtualitics, will be part of a session on how XR technologies (augmented reality, virtual reality, mixed reality) can enhance all kinds of training—tactical, flight, and medical. The session will also discuss the promise of dramatically improved situational awareness, logistics support, combat readiness, and warfighting. 

Demos and Use Case Reviews at the Virtualitics Booth 1035 (next to AWS)

Learn how we’re working with the Air Force Global Strike Command (AFGSC), a major command of the United States Air Force, on AI-enabled software solutions for bomber and missile weapon systems to improve Mission-Capable rates. The technology delivers predictive maintenance, inventory management, supply chain optimization, and manpower resource allocation to meet aircraft maintenance needs efficiently and on time.

See how we’re partnering with the US Space Force to accelerate new technology, deploying Virtualitics’ EMI Tool (VET) and developing additional advanced Artificial Intelligence solutions for Space Domain Awareness. We provide AI-enabled data analytics and immersive visualization solutions to operational users at the Combined Space Operations Center. 

Connect with us to learn more

In addition to improving operational readiness, the Virtualitics AI platform and custom workflows optimize investment opportunities, drive mission support, and discover intelligence insights. See us at DoDIIS or schedule a briefing.

The Federal Team at Virtualitics takes pride in supporting the Department of Defense and ICs with solutions specifically designed to augment the decision-making process from strategic leaders to tactical end users. We understand from first-hand experience the importance of delivering capabilities that meet the needs of our customer’s operational framework. 

Virtualitics works closely with federal and IC customers to create AI workflows that address specific use cases. Our team continues to support the deployment, delivery, and adoption of these technologies through our Center of Excellence. 

Operational Readiness

Predictive Maintenance for Aircraft Availability
Increase aircraft availability and mission readiness while reducing unplanned downtime.

Inventory Optimization
Apply advanced AI, machine learning, and optimization techniques to reduce inventory levels of parts while maintaining safety levels of stocks to meet service level agreements. Use AI and machine learning to measure risk and form constraints such as part availability and inventory status for weapon system mission generation and operational readiness.

Supply Chain Optimization
Use AI, machine learning, and optimization techniques to visualize your supply network, identify supply chain risks, and mitigate against unsuccessful delivery of parts.

Resource Constraints and Capacity Assessment
RC2A uses AI algorithms to determine whether a repair job for a weapon system can be completed using the available maintenance staff and inventory of parts and equipment.

Maintenance Schedule Optimization 
Provides users with a schedule for repair work that considers constraints imposed by the inventory of parts and the availability of maintenance personnel.

Workforce Analytics for Automated Pilot Report
Automated pilot training report creation to increase airmen’s mission capability rates.

Automated Reporting and Monitoring Using Deficiency Report 
Use NLP and anomaly detection techniques to identify critical systems with a high risk of failure.

Manpower Analytics and Optimization
Workforce Analytics solution to optimize manpower and forecast future manpower needs against mission objectives.

COVID-19 Forecasting for Impact Prediction
Use ensemble AI and machine learning techniques to predict hyperlocal COVID-19 cases, hospitalizations, and deaths at a county-by-county level.

Investment Analysis

Resource Allocation
Investment Analysis uses AI and machine learning to parse requirements and historical investments to optimize resources to satisfy mission objectives.

Financial Situational Awareness
Use machine learning and knowledge graph analysis to establish an automated ontology to generate Courses of Action aligned with mission objectives.

Mission Support

Biometric Analysis for Tailored Training
Decision-making tool by fusing biometric and performance data candidates in training programs.

Pattern Identification
Find trends for reports using NLP and AI techniques to identify common patterns across datasets.

GPS Spoofing Detection
Use AI and anomaly detection techniques to automatically detect indications of GPS jamming and spoofing for increased situational awareness.

Spectrum Survey Automation
Use machine learning and automated workflows to rapidly characterize the electromagnetic spectrum.

Data-Enabled Photogrammetry for Mission Insights
Get actionable mission insights with machine learning combined with advanced visualization techniques, geospatial data and photogrammetry overlays. 

Constraint Optimizer for Weapon Systems
Constraint Optimizer uses machine learning and multivariate optimization techniques to consider n-dimensional constraints for weapon systems and optimize them for mission objectives.

Intelligence Analysis

Pattern of Life Analysis
Automated pattern of life and anomaly detection for intelligence analysis use cases.

Cyber Analytics for PCAP Logs
Accelerate forensic tasks by using a patented Network Extractor Algorithm enabling advanced analytics on PCAP logs to analyze, detect, and monitor network activity.

Vessel Lane Detection for Maritime Domain Awareness
Use multi-source maritime traffic data to develop a lane-finding algorithm that identifies trends and anomalous behavior in vessel trajectories.

Space Analysis

Anomaly Detection for Space Domain Awareness
Use AI and machine learning models to predict observations of space objects and identify anomalous behavior. 

Similarity Analysis for Electromagnetic Interference (EMI) Events
Use AI and machine learning algorithms to calculate similarity across EMI data and provide preprocessing for automated report generation.

To achieve data-driven decision-making, you need all relevant data. The power behind prediction is the past. In any type of predictive AI modeling, you can’t derive insights and forecast the future of what will likely happen without including historical and current data.

But what is the easiest way to use this past data, and what considerations should you keep top of mind?


How Predictive Analytics Works and Why It Requires Past Data

Predictive analytics is an approach that organizations use to understand and identify patterns and trends from historical and current data. It leverages the data itself along with statistical modeling, machine learning, and AI. 

From this analysis, you can detect both risks and opportunities, depending on the questions you’re asking. You may also find relationships between variables. For example, a popular use case for predictive analytics is consumer behavior patter analysis. 

By including past and current data, companies can better predict what factors influence purchases and then personalize promotions to elicit the expected outcomes. 

Without the knowledge of past consumer behavior data, it would be impossible to make such predictions. Garnering these insights is a smart tactic for businesses. A study by the Aberdeen Group as reported by Emerj found that companies that use predictive analytics were twice as likely to be able to target high-value customers and market their products to them exceptionally. 

Although predictive analytics isn’t accurate 100 percent of the time, it is much more reliable than a hunch or an assumption. It paves the way for making critical decisions based on data. But how do you effectively group all your datasets?

How Does Data Ingestion Work?

To make sense of the data and make predictions, you have to feed the models data. That’s not always easy. Data can live in many places and be in various formats. The best way to approach such a task is to use a predictive modeling platform

If your tool does these things, it will be relatively easy to move your historical data into a new environment where it can deliver actionable insights.

Predictive Analytics Platforms Allow You to Gather Data from Unexpected Sources

You may have third-party systems that hold lots of valuable past data, but exporting the data is not necessarily a perfect solution. In some cases, you may not have export access at all. What do you do then? In these situations, an integration will be necessary so that the two systems can exchange data. 

If this is a top concern and has been holding you back from using predictive analytics, you’ll need to ask the right questions of both application owners. It is typically possible to integrate, and we’ve been able to do that for our users, including those who adopt our predictive maintenance solution.

Another concern may be integrating a data source that’s constantly changing, such as weather information. This kind of complex integration is critical in predictive maintenance because it can be a factor for assets in challenging environments. However, this concern shouldn’t limit you. 

The bottom line is that most companies need to incorporate many data streams, and they won’t all behave in the same way. The key is to find a platform that can make this happen efficiently and effectively.

Discover the Power of Predictive Analytics with Diverse Data Sources

Predictive analytics can be a game changer for organizations. It can increase sales, reduce costs, mitigate risk, and much more. 

To see the powerful results such a model can have, read our aviation company use case. The company used Virtualitics Predict to save $6-15 million in annual maintenance costs. 

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.

Virtualitics is proud to continue its partnership with the Space Command and Control (C2) program office at Space Systems Command (SSC) to provide its innovative AI-enabled data analytics and immersive visualization solutions to operational users at the Combined Space Operations Center.

In 2019, Virtualitics was awarded a SBIR Phase II contract at the inaugural Air Force Space Pitch Day. At the event, Lt. Gen. John F. Thompson, commander, Space and Missile Systems Center, Air Force Space Command and program executive officer for space, encouraged the space enterprise to work with high technology startups. 

“We have to ‘flip the script’ on how we buy things in order to remain competitive with our adversaries and that’s what Air Force Space Pitch Day does” he said. “Space Pitch Day allowed us to seed strategic investment in potentially game-changing capability,” Thompson said. “It demonstrated new ways to inform Air Force strategic investments, accelerate new technology and rapidly acquire capability for our warfighter.”

Following this latest award, Virtualitics is now under active contract with 7 different agencies within the US Department of Defense. 

The U.S. Space Force’s Space Systems Command, located at the Los Angeles Air Force Base in El Segundo, California, is the center of excellence for acquiring and developing military space systems. SSC’s portfolio includes space launch, global positioning systems, military satellite communications, a meteorological satellite control network, range systems, space-based infrared systems, and space situational awareness capabilities.

The period of performance for this contract has concluded. For current Virtualitics work in the Public Sector please click here.

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. AFNWC will use Virtualitics Predict for Minuteman III predictive maintenance and sustainment.

Virtualitics Predict is a web application which leverages a suite of built-in AI workflows to make predictions using an organization’s data. The comprehensive solution is built for human-centered adoption of AI through explainability and a seamless integration into existing workflows and systems.

This award follows Virtualitics’ successful deployment of predictive maintenance solutions across other organizations. Virtualitics was also recently awarded an extensive Strategic Funding Increase (STRATFI) Award by the Air Force to develop and implement predictive maintenance solutions for the bomber aircraft fleet at Air Force Global Strike Command. With the new AFNWC contract and expansion into the Minuteman III intercontinental ballistic missile weapon system, Virtualitics is now providing AI predictive maintenance solutions for two legs of the US nuclear triad.

“The work proposed here today is vital to innovation in the nuclear enterprise, and will impact the recapitalization of our nuclear systems,” said Maj. Gen. Anthony Genatempo, AFNWC commander and Air Force program executive officer for strategic systems. “I am so very excited to welcome these new teammates into the Air Force and Nuclear Weapons Center family!”

The Air Force Nuclear Weapons Center (AFNWC) established on March 31, 2006, is the nuclear-focused center within Air Force Materiel Command (AFMC) synchronizing all aspects of nuclear materiel management on behalf of the AFMC commander and in direct support of Air Force Global Strike Command (AFGSC).

Headquartered at Kirtland Air Force Base, New Mexico, the center has over 1,800 personnel at 18 locations worldwide and consists of five major execution directorates: Air Delivered Capabilities; Ground Based Strategic Deterrent Systems; Minuteman III Systems; Nuclear Command, Control and Communications (NC3) Integration; and Nuclear Technology and Integration. It also has several functional directorates and its commander is dual-hatted as the Air Force Program Executive Officer (PEO) for Strategic Systems. In addition, the NC3 Integration director is dual-hatted as the Air Force PEO for NC3.

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.

Dr. Roper has described the winners of the STRATFI award as companies providing “game-changing” technologies to the Air Force. “The thing that we’re working on now is the big bets, the 30 to 40 big ideas, disruptive ideas that can change our mission and hopefully change the world,” Roper said. “We’re looking for those types of companies.”

Virtualitics is proud to be one of the “big bet” startups the Air Force is counting on to preserve the U.S. military’s technological advantage. Receiving the STRATFI award at the Pitch Bowl culminates an impressive trend of recent Department of Defense contracts for Virtualitics. Virtualitics is the only commercial startup to win contract awards at the Air Force’s first ever Space Pitch Day and the F-35 Pitch Day, in addition to the STRATFI. Winning the “triple crown” of contract awards at the Air Force’s seminal innovation events is a clear indication of product-market fit for our solution in the DoD.

We are very proud of our work with the DoD. We have found great satisfaction in helping our men and women in uniform unlock actionable insights in their data.