Defense & National Security

Maintaining mission-critical technology across a geographically distributed Army enterprise requires leadership to understand not only whether systems are operational, but where performance is degrading, how quickly failures are being resolved, and where sustainment resources should be prioritized.

BoulevardLabs supported this need through the development and deployment of RAM, the Reliability Analytics Model, a technology monitoring and sustainment application designed to provide program offices and field users with a holistic view of system health, reliability, vulnerabilities, and repair activity.

RAM applies military-standard reliability calculations and consolidates operational and maintenance information into an accessible environment where users can review system availability, monitor fault resolution, submit and track outage tickets, and communicate with program office personnel.

Work supporting the Army’s Automated Installation Entry program has continued to enhance the platform, adding predictive maintenance analytics, automated notifications, equipment fault monitoring, inventory management, component-level failure analysis, and parts visibility, along with improved communication between installations and program personnel.

The capability has supported more than 200 multi-user installations, providing a scalable framework for monitoring readiness, maintenance activity, and system performance. Earlier deployment data reflected an average of approximately 243 tickets assessed daily, while the broader analytics environment helped leadership improve visibility into sustainment needs and parts requirements.

Subsequent enhancements added predictive analytics for equipment-failure forecasting and sustainment planning, and expanded capabilities supporting inventory visibility, repair analysis, and operational decision-making.

Army program offices often receive maintenance, logistics, financial, contractor, and operational information from multiple systems and disconnected datasets. This fragmentation can make it difficult to identify emerging problems, accurately estimate repair timelines, and maintain a unified view of program performance.

BoulevardLabs developed integrated analytics capabilities that consolidated these information sources while applying business intelligence, automation, and machine learning to repair and sustainment operations.

The analytical environment used classification and regression techniques to identify repair categories, estimate expected repair duration, evaluate recurring failures, and support forecasting as new operational data became available.

Related work extended these capabilities into financial and logistics planning, consolidating repair, cost, inventory, and program performance information and introducing automated financial reporting, repair cost forecasting, and machine learning-based models to support future funding requirements, resource allocation, and the identification of financial risk.

One implementation reduced administrative repair-management effort by approximately 35% while cleansing and evaluating data from more than five sources. Related Army sustainment work incorporated information from as many as 12 databases and contributed to an approximately 35% reduction in planning and logistics time.

The work also automated the collection, processing, and reporting of repair performance information, introduced predictive estimates of repair turnaround time and repair cost, and improved visibility into outstanding repairs, performance risks, and consolidated sustainment financial information.

Large defense programs must coordinate personnel, processes, requirements, acquisition activities, and performance information across multiple functional areas and product organizations.

BoulevardLabs supported an Army program office by developing structured analytical and management resources that gave leadership a more consistent way to assess performance, coordinate information, and support decisions across complex program environments.

Working with the DoD Biometrics program, the team applied Lean Six Sigma and Agile methods across ten functional areas, including finance, logistics, cybersecurity, systems engineering, contracting, and program management. Stakeholder workshops and workflow mapping identified opportunities for automation, leading to integrated reporting and dashboard capabilities designed to reduce manual data handling and improve decision support.

The engagement produced 11 analytical and management toolkits spanning 10 functional areas and two product offices, creating repeatable structures for program oversight and decision support.

The toolkits automated data visualization and presentation reporting and improved access to historical and current program performance information.

The U.S. Army sought to evaluate technologies capable of enabling pre-enrolled personnel to enter installations more efficiently while maintaining security requirements.

BoulevardLabs conducted a comprehensive business case analysis covering technology requirements, industry market research, vendor demonstrations, and performance evaluation.

The team assessed technologies including biometric recognition, RFID-based authentication, and license plate recognition. A custom queueing simulation evaluated potential system performance under different traffic and demand conditions.

The resulting analysis provided Army leadership with structured comparisons of potential approaches and evidence-based acquisition recommendations.

BoulevardLabs evaluated multiple biometric and access control alternatives, conducted vendor research and coordinated technology demonstrations, and developed simulations assessing entry performance during peak demand. The work concluded with acquisition recommendations supported by comparative analysis.

As aviation platforms age and mission requirements evolve, Navy leadership must determine which capabilities, technologies, and platforms can best satisfy future operational requirements.

BoulevardLabs supported the Navy through mission-based gap analysis, requirements modeling, technology assessment, and acquisition decision support. The team consolidated information from more than 25 aviation technology-suite databases and created a structured methodology for comparing alternatives against mission requirements.

The analysis incorporated elements of Analysis of Alternatives, Business Case Analysis, risk assessment, mission requirements, capability evaluation, and acquisition trade-space analysis.

This included support for the Navy’s Undergraduate Jet Training System Analysis of Alternatives, evaluating replacement and augmentation options for existing jet training aircraft. A custom acquisition analysis capability combined effectiveness scoring, lifecycle cost forecasting, sensitivity analysis, and risk-weighted evaluation to compare alternatives across technical, schedule, financial, and integration risk.

The work supported Navy acquisition analysis involving technologies valued at more than $100 million and provided leadership with defensible information for evaluating replacement aircraft and sustainment strategies.

The analytical tools developed for the effort support repeatable, evidence-based comparisons that integrate lifecycle cost, risk, effectiveness, and schedule considerations.

BoulevardLabs conducted a Future Vertical Lift Family of Systems study evaluating emerging aviation concepts across multiple mission scenarios.

The team translated mission objectives into measurable capability requirements and used simulation and operational analysis to assess prospective aircraft and unmanned systems against mission performance needs.

The study considered sensor capabilities, interoperability, endurance, mission integration, and platform compatibility to support future force development.

The study evaluated emerging aviation concepts across multiple mission scenarios, developed traceable capability requirements based on operational needs, and assessed platform integration and force structure implications, delivering analytical findings to support acquisition and requirements planning.

Counter-unmanned aircraft system environments require organizations to assess rapidly evolving combinations of sensors, command-and-control platforms, effectors, vendors, architectures, and mission requirements.

BoulevardLabs supported Navy analysis of Counter-UAS capabilities by combining technical research, market analysis, requirements development, and hierarchical decision methodologies.

As part of this work, BoulevardLabs used OPAL, its internal analytics and visualization framework, to organize evaluation criteria, compare alternatives, visualize performance, and support repeatable trade-space analysis.

Supporting the Naval Air Warfare Center Aircraft Division, the Analysis of Alternatives for Counter-UAS command-and-control capabilities evaluated competing solutions against operational requirements, sensor data integration, operator usability, and system expandability.

The effort gave decision makers a structured way to evaluate complex technical alternatives while maintaining transparency around performance, risk, and acquisition tradeoffs.

BoulevardLabs developed objective performance measures and comparison criteria, produced sensitivity analysis and technical, schedule, and cost risk assessments, and established a repeatable framework for comparing technologies against government-defined evaluation criteria.

Government financial management often requires program offices to reconcile budget, contract, execution, and program data maintained across multiple systems.

BoulevardLabs developed SmarTraq to provide Navy organizations with an integrated environment for financial planning, program oversight, data validation, forecasting, and leadership reporting.

The platform combines enhanced data validation, configurable analytics, enterprise-system integration, and predictive capabilities to help users identify inconsistencies, evaluate spend plans, monitor program execution, and assess financial risk.

Supporting NAVAIR’s PMA-226 Contracted Air Services program, SmarTraq replaced a legacy financial management environment with a secure, cloud-based enterprise application. BoulevardLabs led requirements analysis, data migration, application development, security authorization (DoD Certificate-to-Field), and operational deployment, and continues to enhance the platform’s analytical and enterprise integration capabilities.

Earlier implementations of this capability demonstrated a reported 95% reduction in manual-entry error. Subsequent Navy implementations expanded the capability into broader contract, program, and financial oversight functions.

The platform achieved its initial DoD Certificate-to-Field authorization in under 90 days and introduced predictive flight and fuel cost forecasting.

Senior Navy leaders require concise, timely, and defensible information to manage personnel, funding, technology, workforce, and organizational priorities.

BoulevardLabs supported the Navy manpower and personnel enterprise through executive briefings, dashboards, workforce analysis, funding reporting, risk indicators, data visualization, and strategic communications.

The work combined analytical rigor with executive-level design to transform complex personnel and program information into products leadership could quickly interpret and act upon.

Supporting OPNAV N1 and the MyNavy HR enterprise, the work also brought together information from multiple authoritative Navy systems, improved consistency in reporting on procurement execution, workforce allocation, and financial performance, and supported structured acquisition milestone tracking and management reporting.

The effort integrated multiple Navy enterprise data sources into analytical reporting, improving visibility into acquisition, workforce, and financial performance. Executive-facing dashboards and enhanced workflow tracking helped program personnel identify emerging risks and make more informed decisions.

BoulevardLabs provided Integrated Logistics Support for the Family of Special Operations Vehicles program, supporting material management, configuration tracking, inventory operations, and sustainment analysis.

The team analyzed equipment utilization, supply chain risks, lifecycle costs, and maintenance requirements while supporting program-level planning and coordination with field representatives.

An integrated operational reporting approach brought together supply, maintenance, and tracking information to support more effective program oversight.

The work supported lifecycle logistics and sustainment planning, integrated supply, maintenance, and material tracking information, and improved visibility into inventory and supply chain considerations, with analytical support for lifecycle costs and program decisions.

The Marine Corps logistics enterprise relies on a complex portfolio of information systems supporting maintenance, supply, financial management, readiness, and sustainment.

BoulevardLabs supported Marine Corps logistics leadership with strategic IT planning, data science, systems architecture analysis, cloud assessments, portfolio management, and modernization roadmapping.

The work evaluated technology dependencies, migration risk, infrastructure requirements, data environments, interoperability, and opportunities to modernize systems while maintaining operational continuity.

Supporting the Marine Corps Logistics Information Technology Branch, BoulevardLabs also produced portfolio assessment frameworks, data governance guidance, and evaluations of legacy systems and emerging technologies against operational requirements.

BoulevardLabs supported management of a logistics IT portfolio valued at more than $100 million and assessed the controlled migration of more than 50 logistics IT systems to cloud-based environments.

The engagement delivered logistics IT modernization and cloud migration roadmaps along with data governance and portfolio investment recommendations.

Supporting USSOCOM Special Operations Forces Acquisition, Technology, and Logistics, BoulevardLabs conducted an independent assessment of procurement and financial management practices.

Using Lean Six Sigma and continuous process improvement methodologies, the team interviewed stakeholders, mapped operational processes, and evaluated opportunities for organizational and technology improvements.

Custom simulation capabilities supported comparisons of current and potential future workflows, allowing leadership to assess alternatives involving automation, staffing, technology, and operational procedures.

BoulevardLabs assessed procurement and financial management processes across seven work centers, developed process maps and simulation-based analyses, and identified opportunities for automation and operational improvement. Recommendations addressed performance measurement, training, and risk management.