Certified Veteran-Owned Small Business

Modeling and simulation at the edge of what's computationally possible.

We build fast, high-fidelity models, digital twins, and scientific AI for our clients' hardest problems — uniting domain expertise, open-source scientific computing, and disciplined execution.

Explore capabilities See current work →

Data Fusion of rich multi-source data of the physical system
Physics-informed AI resolves the structure hidden in the data
Digital Twins model changes in the physical system in real-time
Predictive Analytics enable proactive decision support tools

Trusted across the defense, research & innovation community

01About

Mission. Innovation.
Execution. Results.

We align diverse stakeholders by speaking the four core dialects of successful industry–government collaboration. Innovation only matters when it can be applied to deliver real mission outcomes — so we lead multidisciplinary teams that span government, universities, and small businesses.

MISSION

Mission First

It starts with a clear purpose that defines success. Innovation matters only when it delivers real mission outcomes.

ACQUISITION

Acquisition Savvy

Great technology doesn't matter if you can't navigate acquisition and get solutions deployed quickly.

TECHNOLOGY

Technology Fluent

We bring deep domain and technical expertise to identify when emerging technology can dramatically improve outcomes.

BUSINESS

Business Minded

Lasting innovation depends on viability — we develop dual-use solutions with long-term value for customers, partners and investors.

02Capabilities

Technical depth, applied to the mission.

We integrate domain expertise, technical innovation, business acumen, and pragmatic execution to turn ideas into transformational capabilities.

Open-Source Scientific Computing

High-performance computing in Julia, Python, and R. We rapidly tailor open-source and dual-use technologies to unique mission requirements — from concept to deployment.

AI & Scientific Machine Learning

Julia's SciML ecosystem to build high-fidelity models of complex systems — computationally efficient, physically consistent, and operationally relevant.

Digital Twins & Physics-Informed Models

Data-integrated models of physical systems. Real-time data enables enhanced monitoring, prediction, and operational awareness — from extreme weather to autonomous flight.

Data Fusion & Real-Time Analytics

We fuse sensor, geospatial, and historical streams with predictive analytics into intuitive dashboards — actionable intelligence for complex environments.

Predictive Analytics & Industrial Controls

Digital-twin solutions for next-generation manufacturing — including additive manufacturing for spacecraft — pairing predictive analytics with physics-based modeling for dramatic gains in efficiency and quality.

Biomedical Research & Healthcare

Data-driven modeling and physics-informed simulation for problems that defy traditional trials — sepsis, critical casualty care, and hemorrhagic shock.

03Current Projects

Active programs, in the field.

NAVY SBIR · TOPIC N252-105

MICROCAST

A unified hybrid forecasting system for naval operations

The Office of Naval Research (ONR) is leading the way in applying machine-learning downscaling, open software architectures, and sub-1-kilometer localized weather forecasting to provide bespoke tactical weather intelligence across every domain the Navy supports worldwide.

MICROCAST answers that vision under ONR Navy Small Business Innovation Research (SBIR) topic N252-105, Machine Learning Downscaling Capability for Environmental Forecasts. It is a Julia framework that fuses fast global physics, SciML surrogates, and high-resolution simulation, generating near real-time environmental forecasts at sub-kilometer resolution for the tactical edge. Built on the Julia community’s open source ecosystem:

SpeedyWeather.jlRapid spectral global forecasts.
Oceananigans.jlGPU-accelerated large eddy simulation.
Reactant.jlCompiles our Julia pipeline for portable edge execution.

<1 km

horizontal resolution

~10 m

vertical resolution

5–15 min

update cycle

Supported by the Office of Naval Research under Navy SBIR topic N252-105.

NSF ASCEND COLORADO-WYOMING ENGINE

HEATMAPS

High-efficiency AI twins for modeling & prediction via surrogates

The NSF ASCEND Engine (Advance Sensing and Computation for Environmental Decision Making) is a National Science Foundation Regional Innovation Engine connecting Colorado and Wyoming’s federal laboratories, research universities, and technology companies. Its Asset Resilience through Intelligent Digital Twins (ARID) program is building a shared simulation platform that helps power and water utilities anticipate and manage growing wildfire risk.

Rallypoint One serves as a technical coordinator and integration partner for ARID. HEATMAPS, an open, GPU-optimized digital-twin framework in Julia that grew out of the Engine’s earlier wildfire work, converts physics-based wildfire computations into deployable surrogate models for faster-than-real-time fire propagation modeling across Colorado and Wyoming.

Fast surrogatesPhysics-informed neural networks compress costly HPC simulations into fast surrogates.
Model librarySurrogate model builder & reusable model directory.
Visualization2D / 3D visualization with sensitivity analysis for GPU, edge & mobile.

Faster

than real-time modeling

GPU + Edge

deployment targets

Supported by the NSF ASCEND Engine, led by Innosphere.

NASA SBIR IGNITE 2025 · SUBTOPIC I01.01

IRAM

A hybrid digital twin for space-grade metal additive manufacturing

NASA is advancing additive manufacturing to produce rocket engine and spacecraft components, and ultimately to manufacture in space and on planetary surfaces. Its SBIR Ignite program invests in small businesses whose technologies strengthen that mission and help secure U.S. leadership in commercial space.

IRAM, the Intelligent Real-Time Additive Manufacturing hybrid digital twin platform, was selected under 2025 SBIR Ignite subtopic I01.01, Advanced real-time monitoring and control technologies for additive manufacturing. The goal of the IRAM project is to deliver predictive, real-time defect prevention for metal additive manufacturing, fusing physics-informed neural networks with thermal-metallurgical models on the Julia SciML stack and driving toward sub-millisecond closed-loop control.

Hybrid twinPhysics-based thermal & metallurgical modeling with adaptive AI via Universal Differential Equations.
Sensor fusionThermal, optical, and acoustic monitoring fused for live melt-pool dynamics.
Anchor alloysIN718 and IN625 — framework development on NIST AM Bench and ORNL Peregrine published benchmark datasets.

≤10% MAE

melt-pool geometry — Phase I target

Near real-time

defect prediction; closed-loop in Phase II

IN718 · IN625

anchor alloys

In partnership with the University of South Carolina McNAIR Center.

MILITARY CARDIOVASCULAR OUTCOMES RESEARCH (MiCOR)

In Silico Medical Research

Computational medical research for military trauma casualty care

Many critical questions in military medicine cannot be addressed through conventional research. Hemorrhagic shock patients are too unstable to study, traumatic injuries cannot be ethically replicated, and austere battlefield-specific conditions do not align with civilian healthcare or biotechnology funding priorities.

Rallypoint One is proud to support the Military Integrated Hemorrhagic Shock and Organ Support (MIHSO) initiative at the Uniformed Services University of the Health Sciences (USUHS), developing computational models and methods that enable researchers to test critical questions in simulation and advance effective diagnostics and treatments.

Trauma physiologyPhysiology-based models of the heart under hemorrhage, acidosis, hypoxia, and hypothermia, states too dangerous to study in patients.
Heart rhythmGPU-accelerated monodomain tissue simulation of arrhythmia and activation.
CirculationHow bleeding and resuscitation change blood flow, pressure, and vital signs.

Multi-scale

cell → tissue → circulation

In silico

questions trials cannot ethically ask

Funded by the USUHS MiCOR program through a research agreement with The Metis Foundation and the scientific leadership of Creating a Computational Model of Hemorrhagic Shock.

04Collaborate

Let's solve hard problems, together.

Whether you're a program office navigating acquisition or a partner with a mission-critical challenge — we'd like to connect.

We're hiring domain experts

Rallypoint has select opportunities for highly qualified experts who want to apply simulation, AI/ML, and predictive analytics to problems that matter. If you want to change the world with a great team, we want to connect.

EntityRallypoint One LLC

ClassificationVOSB

Primary NAICS541715

CAGE8JY50