AI2C accelerates AI integration across the U.S. Army by developing a world-class workforce and leading transformation-focused innovation using the following approaches.
WORKFORCE DEVELOPMENT
AI2C prioritizes building and expanding a technically capable workforce that is equipped to lead and support AI development across the Army.
Deep Technical Talent Creation
AI2C is committed to cultivating a highly skilled technical workforce, focusing on the creation of data scientists, data engineers, and AI cloud technicians. Personnel are provided with opportunities for hands-on experience in the latest AI and data-focused technologies, including machine learning, cloud infrastructure, and data engineering. AI2C facilitates this through dedicated self-development time, partnerships with academic institutions, and access to technical training programs. Graduates of the AI Scholars Program and AI Cloud Technician Program are key examples of this talent pipeline, ensuring that the Army remains at the forefront of AI innovation by growing expertise internally.
Upskilling Leadership and Daily Users
In addition to building deep technical expertise, AI2C focuses on ups-killing Army, leadership and the daily users of AI and data-centric products. This includes ensuring that leaders at all levels understand how to leverage AI technologies in decision-making processes, and that end users can effectively interact with AI tools and products. Regular training sessions, workshops, and hands-on demonstrations help bridge the gap between technology and its practical application in the field. By empowering leaders and Soldiers with the knowledge to use AI tools effectively, AI2C fosters a culture of data driven decision-making across Army operations.
PRODUCT DEVELOPMENT
The AI2C Incubator focuses on early-stage prototype development, creating Minimum Viable Products (MVPs) that are designed to address real Army problems. These prototypes serve as proof-of-concept solutions and are developed with the intention of transitioning them for continued maturation into enterprise-level capabilities. Using an agile development methodology, incubator product teams work in short sprints to rapidly deliver functional prototypes that meet user needs while allowing for flexibility and adaptation.
Once the MVP is validated through user engagement and real-world experimentation, the product is handed off for further development and scaling within larger Army or Department of Defense (DoD) acquisition programs. This approach ensures that the incubator’s innovations are not isolated efforts but are positioned for long-term success by integrating them into the broader enterprise architecture. By focusing on scalable and transferable designs from the start, the incubator ensures that its AI
solutions can mature into robust, operational tools capable of meeting the Army’s long-term needs.
Additionally, the incubator maintains close collaboration with end-users throughout the development process, ensuring that the prototypes align with mission requirements and operational constraints. This user-centered approach allows for continuous feedback, refining the product for better usability and functionality as it moves toward full-scale deployment.
AI2C Portfolios
The AI2C Incubator task organizes their personnel for Minimum Viable Product (MVP) development into the following project portfolios
RESEARCH &
ENGAGEMENTS
INFRASTRUCTURE &
PLATFORMS
ROBOTICS &
AUTONOMOUS SYSTEMS
OPERATIONS &
INTELLIGENCE
SOLDIERS &
SUSTAINMENT
SPECIAL OPERATIONS &
CYBER
Current Examples of Minimum Viable Products from the AI2C Incubator
CAMOGPT
Camogpt is a developer facing environment that is designed to provide generative AI models, agents
and application hosting capabilities to all soldiers, DA Civilians, and Contractors across all classification domes.
- Delivers generative AI and scalable Large Language Model capabilities to the Army through a chat-based application
- Currently deployed to NIPR (IL5 including CUI) and SIPR (IL6)
AIDE
The Artificial Intelligence Development Environment (AI DE) is a collaborative workspace for data engineers and scientists with centralized access to data, code, and other tools necessary to develop AI/ML models. The plat form allows sharing to accelerate algorithm development for faster delivery to the field. It is a platform for AI/ML development and includes the DevSecOps tools necessary for the AI Incubator to build, secure, and deploy minimum viable products at speed.
- Built to be infrastructure agnostic
- Designed to make data-centric projects visible to the community
- The design and architecture of the AIDG is maintained dynamically as it is developed.
GRIFFIN.AI
This work designs an expeditionary AI stack to automate reporting and connect leaders with intuitive business intelligence and AI dashboards targeting tactical concerns. Provides capabilities to warfighters. maintainers, and commander at all echelons for all platforms from the maintenance area to the Pentagon. It develops maintenance and supply data pipelines to directly connect units with curated data. Applications experiment with the optimal warfighter optimized front end and enterprise aggregated to increase readiness across Sustainment functions.
- Partner with Army organizations to apply AI to improve maintenance operations for the UH-60M
- Leveraging lessons learned from other PMx/PPMx efforts
- Plug and play operation.
INTEGRATING ACTIVITIES
AI2C plays a crucial role in integrating AI solutions into Army operations. This involves collaborating with various stakeholders, including defense contractors, academic institutions, and military users, to ensure the solutions are scalable and meet Army requirements. AI2C operates as both an advisor and systems integrator, managing the transition of AI capabilities from research to operational use. This integration also includes addressing ethical considerations and ensuring that solutions meet validated
Army requirements.