Test & Evaluation and Compliant Solution Architectures

Driving innovation through precision testing, evaluation, modeling and simulation

Driving innovation through precision testing, evaluation, modeling and simulation

Our core capability is transforming system delivery through Integrated Test & Evaluation (IT&E), enabled by sophisticated Modeling & Simulation (M&S). We focus on a “Shift Left” strategy, moving verification and validation (V&V) activities from the costly end of the lifecycle to the earliest design phases.

What We Deliver:

Continuous V&V & Agile T&E

We design and implement robust, Agile T&E frameworks that seamlessly integrate into DevSecOps pipelines. This moves beyond 90-
day cycles to enable continuous delivery, allowing for rapid, validated capability deployment and Continuous Authority to Operate (C-ATO).

M&S for Risk Reduction

We leverage high-fidelity, physics-based models, synthetic environments, and Hardware-in-the-Loop (HIL) testing to conduct early-stage
performance analysis and trade studies. This capability allows engineers to virtually test and de-risk complex systems long before physical assets are available, significantly reducing the cost and time of traditional field testing.

Full Spectrum Testing Expertise

Our requirements analysis expertise ensures end-to- end traceability from mission need to system test plan. We provide comprehensive T&E support across all phases: developmental testing (DT), operational testing (OT), and rigorous cybersecurity and resiliency assessments.

Integrated Testing & Architecture Alignment

Model-based systems engineering (MBSE) and compliant solution architectures

We translate complex operational needs into clear, compliant, and actionable system designs using cutting-edge Model-Based Systems Engineering (MBSE) methodologies.

The Power of the Digital Thread:

Executable Architecture Models:

We move beyond static documents to create dynamic, executable architecture models (using standards like SysML, UAF, and DoDAF) that serve as the Digital Thread, a single source of truth for the entire system. This model manages and connects requirements, design decisions, analysis results, and verification metrics.

Digital Twin Enablers:

By linking the architecture model directly to M&S environments and live system data, we lay the foundation for a Digital Twin. This enables real-time impact analysis, what-if scenarios, and predictive maintenance capabilities for improved system sustainment.

Compliant & Enterprise Architecture:

Our subject matter experts ensure that all models and artifacts meet necessary security, interoperability, and regulatory requirements. We use advanced architectural tools and governance to support effective Enterprise Architecture (EA) decisions, ensuring alignment from the top-level mission down to the lowest component.

Utilizing AI & Google Cloud

DigiFlight advances enterprise AI capabilities through development, experimentation, and deployment supported by Google Cloud’s FedRAMP High Vertex and Gemini platforms within DoD IL5-authorized infrastructure. AI enhances mission resilience, cybersecurity, and advanced data fusion—enabling intelligent operations in contested environments, accelerating actionable intelligence, and optimizing complex systems through multimodal analytics, agentic automation, and predictive modeling.

Why DigiFlight?

  • Comprehensive Capabilities – Acquisition training, program management, logistics, and sustainment.

  • Global Reach – Supporting over 50 FMS customers across CONUS and OCONUS locations.

  • Mission-Focused Solutions – Reducing risk, accelerating success, and ensuring readiness.

  • Trusted Partner – Recognized for technical depth, programmatic insight, and international support.

Incorporating Artificial Intelligence into the Test and Evaluation Lifecycle

Incorporating Artificial Intelligence into the Test & Evaluation (T&E) lifecycle enhances product excellence by improving test quality while reducing cost, schedule risk, and manual workload. Leveraging advanced AI platforms such as Google Cloud’s Gemini—a multimodal Large Language Model capable of processing text, images, audio, video, and code—enables intelligent automation and deeper analytical insight across every phase of Developmental Testing (DT), Integrated Test & Evaluation (IT&E), Operational Test & Evaluation (OT&E), and cybersecurity validation.

AI strengthens T&E by increasing coverage, accelerating execution, and delivering clearer release-readiness signals. Through data-driven prioritization and automated analysis, AI reduces manual test management burdens while improving accuracy, traceability, and overall system reliability.

AI-enabled T&E capabilities include:

  • Generation of comprehensive test plans from Product Requirement Documents (PRDs), specifications, and release notes
  • Identification of edge cases and coverage gaps that may be overlooked in manual reviews
  • Automated creation of unit, integration, and end-to-end test cases
  • Generation of realistic synthetic datasets for robust system validation
  • Intelligent prioritization of high-risk and high-impact test scenarios during execution
  • AI-assisted troubleshooting through log correlation, anomaly detection, and root cause analysis
  • Automated summarization of extensive test outputs into clear, actionable insights
  • Release-readiness assessments supported by trend analysis and performance metrics
  • Continuous cybersecurity validation across the system lifecycle