About the SPARTN Program
Powered by SBIR. Backed by AAL.
SPARTN unites Army SBIR funding and AAL’s business model to create a program that moves — and pays — at the speed of business. SPARTN helps U.S.-based small businesses advance their technology while supporting Army modernization priorities.
Three SPARTN Tracks
Different SPARTN tracks tailor the SBIR experience to the type of problem being solved.
We need a team of Army and tech experts to help solve complex problems.
We need a specific solution, tailored to meet a detailed problem statement.
We need to prepare broadly to anticipate problems on the horizon.
Featured SPARTN Cohort
Robotic Combat Vehicle Sustainment Cohort
Robotic Combat Vehicles (RCVs) reduce the risk to Soldiers and deliver advantages during conflict. But the Army can only retain these advantages if RCVs can stay in the fight. The Army wants to implement smart-sensor capabilities to help sustain these platforms. From remote troubleshooting, to predictive maintenance, to the ability to anticipate resupply, these capabilities will be critical to the future ground force.
To address this modernization need, AAL partnered with the Next Generation Combat Vehicle Cross Functional Team and PM Maneuver Combat Systems to choose 10 pioneering companies for the cohort. Over the course of 12 weeks, these companies received hands-on experience with RCVs — including the RCV-Light and RCV-Medium — as well as the Project Origin technology demonstrator, to help them create targeted tech for Soldiers.
Learn more about the RCV Sustainment Cohort
Featured Point Challenge
The Army is using synthetic training models to transform cost-prohibitive, episodic live training into infinitely replicable and scalable virtual scenarios. But the AI and machine learning algorithms that underpin current synthetic training software are still evolving.
To accelerate this evolution, AAL launched the Virtual Human Integration Supporting Intelligent Tutoring / Adaptive Training (IT/AT) SPARTN topic to find technology that can create intelligent, adaptive, and humanlike synthetic training.
Businesses chosen for IT/AT were asked to consider training concepts such as intelligent tutoring, adaptive training, and virtual human integration to design training that allows an unprecedented level of immersion and analysis for Soldiers.
Learn more about IT/AT
Featured Area Challenge
Exoskeletons with a multitude of sensors will be used on future battlefields, but it isn’t clear how those sensor data should be interpreted. With the right interpretation system, the data from sensors throughout an exoskeleton could be synthesized to provide actionable insights on movements, health, and location to individual Soldiers. For example, sensors separately monitoring a Soldier’s heart rate, oxygen levels, and coordinates might warn them they are gaining elevation at an unsustainable rate.
To predict what kind of data synthesis the Army will need from exoskeletons, AAL launched the ExoSense SPARTN topic.
Businesses chosen for ExoSense were asked to develop a system that interprets and delivers exoskeleton sensor data into an open-architecture handheld radio device. This system would perform computations that incorporate sensor fusion with data processing, insight, and aggregation.
Learn more about ExoSense
Learn more about past SPARTN topics by watching a webinar recording.