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Award Data
The Award database is continually updated throughout the year. As a result, data for FY24 is not expected to be complete until March, 2025.
Download all SBIR.gov award data either with award abstracts (290MB)
or without award abstracts (65MB).
A data dictionary and additional information is located on the Data Resource Page. Files are refreshed monthly.
The SBIR.gov award data files now contain the required fields to calculate award timeliness for individual awards or for an agency or branch. Additional information on calculating award timeliness is available on the Data Resource Page.
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Liquid cooled viscoelastic actuation for robust legged robot locomotion
SBC: APPTRONIK INC Topic: H601Apptronik Systems in cooperation with the University of Texass Human Centered Robotics Lab (HCRL), Carnegie Mellon Universitys Robotics Institute and Italys National Research Institute (CNR), will collaborate to develop a new type of exoskeleton that is founded upon Apptroniks Visco-Elastic Liquid Cooled Actuator (VLCA). The fundamental goal of this program is the development of a powered exoskel ...
STTR Phase II 2017 Department of DefenseSpecial Operations Command -
Upper Body Addendum to Proposal S2-0328
SBC: APPTRONIK INC Topic: H601This is an Addendum to previously submitted proposal that includes the addition of a powered upper body portion of an exoskeleton. In this addendum we propose the additional requirements of researching, fabricating and integrating a powered upper body to the previously outlined lower body. These two systems together will comprise the entire exoskeleton proposed by the contractor. Through this ...
STTR Phase II 2017 Department of DefenseSpecial Operations Command -
Combat Systems of the Future
SBC: Advanced Systems/Supportability Engineering Technologies And Tools, Inc. Topic: N05149The S-351 mini-sub is a prototype of the Dry Combat Submersible (DCS). This prototype was established as a means of risk reduction prior to a full commitment to the DCS program. Both of these platforms have an operational need to transit with minimum operator fatigue safely to a pre-defined point and covertly deploy and retrieve SEALS. To meet these operational needs, these platforms require upgra ...
STTR Phase II 2017 Department of DefenseSpecial Operations Command -
Liquid-cooled actuation to achieve greater degrees of freedom and range of motion in untethered exoskeletons
SBC: APPTRONIK INC Topic: H6018135Apptronik Systems Inc., in cooperation with the University of Texas Human Centered Robotics Lab (HCRL) and Huston-Tillotson University Robotics Lab (a historically black college and university HBCU), endeavor to advance the movement capabilities and modularity of the exoskeleton being developed under contract #H92222-17-C-0050. The primary goal of this program is to optimize the range of movement ...
STTR Phase II 2017 Department of DefenseSpecial Operations Command -
Aerospace Vehicle Signature Modeling Technologies
SBC: GOHYPERSONIC INCORPORATED Topic: MDA15T003The proposed work will incorporate the newly released software into the signature analysis workflow. Extensions of the US3D flow solver will include improvements to the decoupled implicit solver to robustly and efficiently handle reacting flow. Trajectory specification, conjugate vehicle heating, and ablation with surface recession will be enabled through use of a Trajectory Ablation & Shape Chang ...
STTR Phase I 2017 Department of DefenseMissile Defense Agency -
Fine Powder Cathode and Separator Binder Characterization for Thermal Batteries
SBC: CFD RESEARCH CORPORATION Topic: MDA16T001Fine powder thermal battery cathode materials can exhibit challenging flow properties which makes processing with automated presses difficult.Granulating these powders substantially improves flow properties and reduces the tendency for powder segregation during handling and pressing operations.The properties of Magnesium Oxide (MgO) that lead to good performance in thermal battery separators are n ...
STTR Phase I 2017 Department of DefenseMissile Defense Agency -
Manufacturing Efficiency and Capability:Improvement of Flow Properties of Thermal Battery Component Powders
SBC: Material Flow Solutions, Inc. Topic: MDA16T001The premise of this work is that the main barrier to optimizing battery performance lies in understanding the relationship between bulk solids and particle flow properties and the flow into the die.Our hypothesis: an increase in quality battery production can be achieved if product preparation can be optimized and/or the die filling process controlled.Since die compression is mainly one-dimensiona ...
STTR Phase I 2017 Department of DefenseMissile Defense Agency -
Supply Chain data Acquisition and Narrative analysis (SCAN)
SBC: DECISIVE ANALYTICS CORPORATION Topic: MDA16T002Supply chain risk management relies on expensive manual processes that are performed infrequently and with a limited set of data. Supply chain managers often operate in a reactive mode, scrambling for solutions to issues that could have been anticipated if more data and continuous monitoring of the supply chain were practical. The supply chain analysis problem is one where the quantity of data dri ...
STTR Phase I 2017 Department of DefenseMissile Defense Agency -
Proactive Risk Monitoring Using Predictive Analytics
SBC: ARCTOS Technology Solutions, LLC Topic: MDA16T002In a pilot study effort in 2013, the Secretary of Defense for Manufacturing and Industrial Base Policy (ODASD (MIBP)) developed a methodology that goes beyond legacy reactive and program-centric frameworks for assessing industrial base risk. This proposed effort leverages the pilot studys work with the fragility and criticality (FaC) assessment to develop a predictive and proactive tool to assist ...
STTR Phase I 2017 Department of DefenseMissile Defense Agency -
Deep Machine learning for risk Analysis and Prediction (D-MAP) in supply chains
SBC: Intelligent Automation, Inc. Topic: MDA16T002There is an need to collect sufficient knowledge on DoD defense systems and services supply bases, analyze and predict risks in supply chains, and take risk mitigation approaches to improve supply chains. To address this need, Intelligent Automation, Inc. proposes to design and implement the D-MAP system with the following novel components: 1) Data management module automatically collects raw data ...
STTR Phase I 2017 Department of DefenseMissile Defense Agency