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"Context-Aware Decision Support" is currently closed and not accepting applications.
Context-Aware Decision Support is sponsored by U.S. Army SBIR|STTR. This opportunity supports mission-aligned projects and measurable outcomes.
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Context-Aware Decision Support – Army SBIR|STTR Program Artificial Intelligence/Machine Learning, Army SBIR, Phase I Context-Aware Decision Support Application Due Date: 04/23/2025 Develop innovative capabilities that provide commanders with real-time, context-aware summaries and actionable insights by integrating dynamic data, enabling informed, unbiased decision-making that enhances training effectiveness and mission success.
In today’s training and operational environments, commanders confront vast amounts of data from diverse sources, including training schedules, Soldier readiness metrics, intelligence reports, and real-time battlefield information. While critical for decision-making, this influx of information creates a high cognitive load, which can result in delays or biased interpretations, especially in time-sensitive situations.
Current decision-support tools use advanced algorithms to turn data into actionable insights. However, these tools often add to the information burden, leaving commanders to manually integrate and interpret data, often outside their core expertise. This topic aims to develop innovative solutions that leverage the latest advancements in generative AI (GenAI) to create interoperable, AI-driven capabilities.
These capabilities will consolidate, synthesize, and prioritize real-time data to support military planning and tactical decision-making. The proposed solution will offer commanders, and potentially other AI systems, contextual summaries and actionable insights that enhance human decision-making and Soldier performance.
It seeks secure, advanced solutions that can access, aggregate, and contextualize data from varied sources, delivering concise, actionable summaries. These summaries will enable commanders—and potentially AI partners—to predict threats, adjust plans, and make confident, real-time recommendations.
This topic looks to align with existing Army efforts exploring the latest breakthroughs and capabilities enabled by GenAI, namely, Large Language Models (e.g., COA-GPT, SmartBook). This topic is only accepting Phase I proposals for a cost up to $250,000 for a 6-month period of performance.
The primary goal of Phase I is to establish the technical and commercial feasibility by delivering a proof-of-concept model that demonstrates real-time integration and summarization of mission-relevant data. Phase I deliverables include: Demonstrate ability to consolidate data from key Army data sources, with contextual summaries, and actionable insights meeting or exceeding human commanders.
Develop a prototype interface capable of displaying synthesized information to commanders Develop a fully operational prototype, with a focus on enhancing the system’s interoperability, AI-driven data processing, and Soldier-centered interface.
Phase II deliverables include: Real-Time Data Processing: Refine algorithms to access and integrate real-time feeds from wearable sensors, training data, performance analytics, and environmental factors. Concise Summarization and Actions: Ensure that the system’s summaries and actionable insights directly support commanders at the company level and above.
Advanced, Scalable Interface: A fully developed user interface and ability to integrate or communicate with external or 3rd-party systems (e.g., COA-GPT, SmartBook). Develop a scalable, AI-driven system that delivers contextual summaries and actionable insights to support commanders across diverse training environments. Phase III capabilities include: Real-Time Data Aggregation and Contextual Summarization.
Ability to dynamically and securely access and integrate other data sources. Interoperability Across Systems and Platforms. Actionable insights must be based in Amry doctrine.
A primary focus on enhancing Soldier performance in training and operational contexts. Automated Data Prioritization Based on Mission Relevance. User-Friendly Interface with Customizable Views.
For more information, and to submit your full proposal package, visit the DSIP Portal . SBIR|STTR Help Desk: usarmy. sbirsttr@army.
mil Reddy, R. G. , Lee, D.
, Fung, Y. R. , Nguyen, K.
D. , Zeng, Q. , Li, M.
, Wang, Z. , Voss, C. , & Ji, H.
(2024). SmartBook: AI-Assisted Situation Report Generation for Intelligence Analysts. arXiv.
https://arxiv. org/abs/2303. 14337 .
Goecks, V. G. , & Waytowich, N.
(2024). COA-GPT: Generative Pre-trained Transformers for Accelerated Course of Action Development in Military Operations. arXiv.
https://arxiv. org/abs/2402. 01786v1 .
KEYWORDS Real-Time Data Synthesis, Context-Aware Summaries, Actionable Insights, Generative AI (GenAI), Military Planning and Decision-Making, Interoperable Capabilities, Soldier Readiness, Soldier Performance and Prioritization, Soldier-Centered Interface Develop innovative capabilities that provide commanders with real-time, context-aware summaries and actionable insights by integrating dynamic data, enabling informed, unbiased decision-making that enhances training effectiveness and mission success.
In today’s training and operational environments, commanders confront vast amounts of data from diverse sources, including training schedules, Soldier readiness metrics, intelligence reports, and real-time battlefield information. While critical for decision-making, this influx of information creates a high cognitive load, which can result in delays or biased interpretations, especially in time-sensitive situations.
Current decision-support tools use advanced algorithms to turn data into actionable insights. However, these tools often add to the information burden, leaving commanders to manually integrate and interpret data, often outside their core expertise. This topic aims to develop innovative solutions that leverage the latest advancements in generative AI (GenAI) to create interoperable, AI-driven capabilities.
These capabilities will consolidate, synthesize, and prioritize real-time data to support military planning and tactical decision-making. The proposed solution will offer commanders, and potentially other AI systems, contextual summaries and actionable insights that enhance human decision-making and Soldier performance.
It seeks secure, advanced solutions that can access, aggregate, and contextualize data from varied sources, delivering concise, actionable summaries. These summaries will enable commanders—and potentially AI partners—to predict threats, adjust plans, and make confident, real-time recommendations.
This topic looks to align with existing Army efforts exploring the latest breakthroughs and capabilities enabled by GenAI, namely, Large Language Models (e.g., COA-GPT, SmartBook). This topic is only accepting Phase I proposals for a cost up to $250,000 for a 6-month period of performance.
The primary goal of Phase I is to establish the technical and commercial feasibility by delivering a proof-of-concept model that demonstrates real-time integration and summarization of mission-relevant data. Phase I deliverables include: Demonstrate ability to consolidate data from key Army data sources, with contextual summaries, and actionable insights meeting or exceeding human commanders.
Develop a prototype interface capable of displaying synthesized information to commanders Develop a fully operational prototype, with a focus on enhancing the system’s interoperability, AI-driven data processing, and Soldier-centered interface.
Phase II deliverables include: Real-Time Data Processing: Refine algorithms to access and integrate real-time feeds from wearable sensors, training data, performance analytics, and environmental factors. Concise Summarization and Actions: Ensure that the system’s summaries and actionable insights directly support commanders at the company level and above.
Advanced, Scalable Interface: A fully developed user interface and ability to integrate or communicate with external or 3rd-party systems (e.g., COA-GPT, SmartBook). Develop a scalable, AI-driven system that delivers contextual summaries and actionable insights to support commanders across diverse training environments. Phase III capabilities include: Real-Time Data Aggregation and Contextual Summarization.
Ability to dynamically and securely access and integrate other data sources. Interoperability Across Systems and Platforms. Actionable insights must be based in Amry doctrine.
A primary focus on enhancing Soldier performance in training and operational contexts. Automated Data Prioritization Based on Mission Relevance. User-Friendly Interface with Customizable Views.
For more information, and to submit your full proposal package, visit the DSIP Portal . SBIR|STTR Help Desk: usarmy. sbirsttr@army.
mil Reddy, R. G. , Lee, D.
, Fung, Y. R. , Nguyen, K.
D. , Zeng, Q. , Li, M.
, Wang, Z. , Voss, C. , & Ji, H.
(2024). SmartBook: AI-Assisted Situation Report Generation for Intelligence Analysts. arXiv.
https://arxiv. org/abs/2303. 14337 .
Goecks, V. G. , & Waytowich, N.
(2024). COA-GPT: Generative Pre-trained Transformers for Accelerated Course of Action Development in Military Operations. arXiv.
https://arxiv. org/abs/2402. 01786v1 .
KEYWORDS Real-Time Data Synthesis, Context-Aware Summaries, Actionable Insights, Generative AI (GenAI), Military Planning and Decision-Making, Interoperable Capabilities, Soldier Readiness, Soldier Performance and Prioritization, Soldier-Centered Interface Assistant Secretary of the Army for Acquisition, Logistics, and Technology ASA(ALT) releases contract opportunities on an ad-hoc basis to meet Army research and development needs.
Army Futures Command (AFC) releases topics during three specific solicitation periods throughout the fiscal year to address the Army’s current and anticipated war-fighting technology needs. Army STTR follows AFC’s topic release schedule but partners with a university, federally funded research and development center, or a qualified non-profit research institution as part of their contract.
Is the opportunity to establish the scientific, technical, commercial merit and feasibility of your proposed innovation. Is focused on the development, demonstration and delivery of your innovation from Phase I. Represents the commercialization phase of the program in which the company can market their products or services developed in Phase II, either to the government or in the commercial sector.
Allows small businesses to submit to Direct to Phase II applications if they performed the Phase I research through other funding sources. Provides funding to projects that require additional funding during their open Phase II contract. A Phase II Awardee may receive one additional, sequential Phase II award to continue the work of an initial Phase II award.
The sequential Phase II award has the same guideline amounts and limits as an initial Phase II award.
Artificial Intelligence/Machine Learning (supply chain management, logistics coordination, target identifications and simulation) Advanced Materials and Manufacturing (additive manufacturing) Autonomy (unmanned systems, drones, ground vehicle capabilities) Chemical and Biological (detection, defense) Cyber (biometric authentication, secure communications) Electronics (microelectronics, Very-Large-Scale Integration (VLSI)) Electronic Warfare (jamming, spoofing) Human Performance (wearables) Immersive (augmented reality, virtual reality, mixed reality) Network Technologies (antennas, radio frequency, communications systems) Position, Navigation, and Timing (GPS) Power (batteries, generators) Software Modernization (high performance computing, data management and visualization) Sensors (infrared sensing) Weapons Systems (hypersonics, munitions and projectiles, directed energy)
According to the current listing, eligibility includes: Small businesses with fewer than 500 employees, at least 50% U. S. -owned, and principal investigator employed at least 20 hours per week by the company. Confirm the full requirements in the official notice before applying.
The current listing shows up to $250,000. Verify award ceilings, matching requirements, and allowable costs in the official notice.
The most recent published deadline was June 3, 2026, which has passed. This is an annual program, so a new cycle should follow. Check the funder's website for the next application window.
Context-Aware Decision Support is funded by U.S. Army SBIR|STTR. Verify program details on the funder's official page before applying.
Yes — this listing is flagged as national in scope, so applicants across the U.S. may apply, subject to the sponsor's other eligibility criteria.
Start from the official opportunity page linked in this listing — it carries the sponsor's submission instructions.
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