Ignite Labs

Ignite Labs delivers Iterative, Hybrid, Human-in-the-loop machine learning and advanced horizon scanning capabilities providing warfighters enhanced situational awareness to identify future adversarial capabilities and defend against emerging threats. Ignite labs brings together three interconnected areas of expertise – Artificial Intelligence, Futures, and Publicly Available Information – working collaboratively to drive innovation and impact.

Labs Director

Dr. Jairus Grove

Dr. Jairus Grove is an expert in the futures of national security and intelligence. He is recognized for his research on transformational technologies and their profound impact on global security dynamics. As a Professor of International Relations and Director of the Hawai‘i Research Center for Futures Studies at the University of Hawai‘i at Mānoa, Dr. Grove leads research into the intersections of artificial intelligence, automation, outer space policy, nuclear deterrence theory, and modern warfare, offering essential foresight into these rapidly evolving areas.

AI Lab

The Ignite AI Lab focuses on developing tailored AI/ML solutions designed to improve our customers’ ability to process, manage and analyze a wide range of data.

Our tools have been developed from the ground up in support of specific customer use cases with the objective of reducing the amount of time spent on tedious data management and analysis tasks. At a foundational level, the lab provides advanced data management and analysis platforms providing unparalleled visibility into disparate data sources. Built on top of our data analytics platform are cutting edge AI tools designed to greatly reduce the difficulty for users of all backgrounds to gain actionable insights from their organizations’ data.

Products

LASSO

LASSO (Logistics and Sustainment Simulation Optimization Tool) is an automation and analysis tool utilizing open-source software and cloud architectures to automate the building of models and running of simulations in support of the LogLab.

Outputs Include:

  • Availability Metrics
  • Spare Drivers
  • Down-Time Analysis
  • Maintenance Manpower Requirements

LogSIL – Supporting DEVCOM AvMC

LogSIL (Logistics Systems Integration Lab) is a digital engineering environment for prototyping and testing advanced digital systems in support of sustainment.

Data Infrastructure Model: Modular architecture for ingesting, simulating, replaying, and analyzing (using AI/ML) a variety of data types from field, test, and simulation data.

LLM (Large Language Model) Data Interface: Ignite provides a natural language interface to your data so you can talk to it in plain English and receive analysis back.

Futures Lab

The Ignite Futures Lab takes a dynamic systems approach to solving ‘impossible’ problems facing warfighter support in the 21st century and beyond.

Our interdisciplinary team includes geopolitical futurists, intelligence analysts, systems engineers, and an AI/ML design team to ensure complex problems have tailored solutions. Rather than selling off-the-shelf products, our team assesses the singular needs of each client, surges subject matter experts to provide support, and designs a path to victory from the ground up.

The future is a multiverse, but every future has winners and losers. We must prepare now to win in all futures.

PAI Lab

The Ignite Publicly Available Information (PAI) Lab develops open-source data mining tools and techniques to provide unique insights to our clients to facilitate informed decisions.

Ignite provides preprocessing and post processing of data for ease of integration into customer products. These tools and processes help fill intelligence gaps by analyzing low TRL technologies, provide network analysis to characterize and document complex networks, and conduct horizon scans to meet customer needs.

Ignite Labs Customers

  • DEVCOM Aviation & Missile Center
  • 350th Spectrum Warfare Wing
  • Space Security & Defense Program

AI Lab Director

Dr. Philip Reiner

Dr. Philip Reiner is the AMCOM Task Lead at Ignite and Chief Software Architect for the Army Development Command (DEVCOM) Aviation and Missile Center (AvMC) Logistics Engineering Laboratory (LogLab). In his current role, he leads advanced research and development initiatives, focusing on integrating cutting-edge machine learning, data science, and digital transformation technologies into Army logistics systems. Dr. Reiner oversees the development of tools like the Logistics Simulation (LogSIM) and the Logistics Systems Integration Lab (LogSIL), which streamline operations and enhance mission readiness. He also founded and leads the Ignite Engineering Laboratory, an incubator for innovative software prototypes designed to optimize workflows and improve operational efficiency for customers.

Before joining Ignite, Dr. Reiner gained extensive experience in supporting the Department of Defense (DoD) initiatives. He served as a Senior Data Scientist and Research Fellow at SAIC, where he led projects in machine learning, big data analytics, and modeling and simulation for clients such as the Missile Defense Agency and the Air Force. He has also contributed to neural network research and advanced data processing capabilities as a Computer Engineering Intern and Research Assistant at Auburn University. His work has included designing and implementing AI solutions for real-world problems, such as aerial image processing and predictive analytics for logistics systems.

Dr. Reiner received a Ph.D. degree in Electrical and Computer Engineering from Auburn University, where his research focused on neural network algorithms. He has authored several peer-reviewed publications on machine learning and computational intelligence and received awards for his innovative work, including being named SAIC Research Fellow for groundbreaking efforts in deep learning. His academic credentials are complemented by extensive technical certifications and presentations at industry conferences.

Dr. Reiner resides in Madison, Alabama, with his wife Heather and two children.

PAI Lab Lead

Jake Mann

Jake has a decade of data science experience working for clients in the Department of Defense and U.S. hedge fund industry, in addition to editorial roles at various financial media firms. He is currently studying applied AI and deep learning at the Stevens Institute of Technology.