2025 UAS Summit & Expo

october 14-15

grand forks, nd

MTSI is a leading technology services company supporting multiple government offices to rapidly and effectively achieve their mission objectives in critical areas including UAS, hypersonics, flight test, mission analysis, and wargaming.

MTSI develops and provides innovative solutions for customers executing end-to-end hypersonic flight tests involving flexible launch platforms, unique low-cost target solutions, and sub-/full scale launch vehicles at high test cadence. 

We provide test planning, integration, mission architecture, range coordination, safety, test execution, as well as pre-/post-test analysis and reporting.

MTSI provides test and evaluation support for developmental and operational flight, ground, and cybersecurity tests to multiple stakeholders across the DoD. These include the Army Program Executive Office Missiles and Space, Army Space and Missile Defense Command, the Missile Defense Agency, and the US Navy (MACH-TB).

U.S. Army Space and Missile Defense Command (USASMDC)

Program Executive Office – Missiles and Space

Missile Defense Agency – Department of Defense

U.S. Navy

Our support encompasses the full span of systems engineering and technical assistance (SETA) activities across multiple stakeholders. We have expertise in requirements development, prototyping, integration, test and fielding.

The MTSI Cyber Physical Systems team provides differentiated, comprehensive, high-end Risk Management and Engineering solutions. We use our expertise to identify and characterize risk for a platform, system, or weapon system to help our clients maintain their mission amid ongoing, evolving cybersecurity threats.

MTSI Weapon systems cybersecurity Cyber Physical Systems
MTSI Platform Risk Management & Secure Systems Engineering

Platform Risk Management & Secure Systems Engineering

Experience ensuring cyber resiliency and survivability on varying OT/PIT (manned/unmanned aircraft, maritime, ground vehicles, etc.).

Equip customers with relevant RM/SSE integration techniques to maximize early cyber rigor, integration, and subsequent alignment with federally mandated requirements (NIST/RMF, Acquisition Artifacts, MBSE Integration).

Employ various risk management processes in order to prioritize the mission, maximize cybersecurity and engineering trade space, and deliver secure solutions at various stages of the acquisition lifecycle (better design, better assessments/testing, mission success).

Offensive/Defensive Engineering

Expertise in adversarial penetration testing of cyber-physical systems for both public and private customers. This includes manned and unmanned aircraft, maritime, industrial, etc.

Extensive experience in developing and testing offensive cyber capabilities in both lab settings and complex mission-representative environments.

Develops and delivers hands-on technical training on cyber physical system reverse engineering and cyber attack methods.

The MTSI Cyber Physical Systems Team is a Recognized Assessor for the Defense Innovation Unit (DIU) Blue Cleared List. Established expertise in small UAS risk assessment and penetration testing.

MTSI Weapon Systems Cybersecurity Risk Assessment

Risk Assessment

Effectively assess, measure, and communicate risk to decision makers through the use of URAMS, an in-house model that uses a system of connected tools across the spectrum of qualitative analysis and quantitative measurement.

Enables the understanding of cyber risk for cyber-physical systems across a wide range of potential environments and use cases.

Compliments/Integrates/Aligns with existing requirement frameworks (Risk Management Framework, Air Worthiness, etc.).

The MTSI Cyber Physical Systems Team provides differentiated, comprehensive, high-end Risk Management and Engineering solutions. The core capability within the MTSI Cyber Physical Systems Team is a full-package pipeline that begins with the MTSI’s URAMS risk assessment framework, leading to informed cyber penetration testing that shapes the eventual RMF package requirements.

We use our expertise to identify and characterize risk for a platform, system, or weapon system to help our clients maintain their mission amid ongoing, evolving cybersecurity threats.

Course Info

At MTSI, we have a long-standing relationship with Artificial Intelligence and Machine Learning. We have proudly supported our DoD customers for 30 years with advanced algorithm development and keep pace with all the emerging technologies and DoD policies.

With over a century of combined advanced analytics support to DoD customers, 100% of our AI/ML team have advanced degrees in data science, predictive analytics, computer science, physics, and engineering. A successful AI/ML effort requires expertise in algorithms, the technical domain, and the warfighting mission.

MTSI is awardable in the Tradewinds solutions market place.

MTSI created the Harnessing AI for Development and Evaluation of Systems (HADES) Tool to assess the real-world performance of Machine Learning (ML) algorithms under test (AUT), enhancing their reliability and resilience.

HADES uses an intelligent agent designed as an ‘adversary’ to explore the AUT’s performance space by altering its inputs.

This agent’s search process is more efficient than grid search methods and more effective than traditional Design of Experiments. Insights generated by HADES can be used to retrain the AUT, significantly improving its robustness across a broader range of operating conditions.

Calibrated Trust In a dynamic, always-changing world.

Generative AI

MTSI leveraged advanced generative AI to tackle a data-heavy challenge by compressing high-fidelity, physics-based kinematic data into an autoencoder. This enables users to produce lower-fidelity trajectories suitable for analysis, modeling, and simulation.

Generative AI delivers results 1,000 to 10,000 times faster than traditional physics-based models, while also producing significantly smaller file sizes.

This approach accelerates analysis and facilitates rapid exploration of system concepts. The solution is deployable in secure cloud environments or standalone enclaves, operating on customer data at required classification levels.

We developed an algorithm for model based super resolution that converts unresolved focal plane imagery into a highly resolved map of the target. This has immediate utility for the intelligence community and mission defense Fire control in areas of object characterization and aimport selection.

We developed a diffusion model (DDPM) which uses a convolutional neural network (U-Net) to recursively denoise an image

We integrate DDPM into our M&S environment to assess its utility for aimpoint selection, adding a classification layer for implicit object classification and including pose information as an output.

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