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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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Low Voltage Power Sources for Long-Life Electronics
SBC: TALOSTECH LLC Topic: SB163009There is a critical need for DoD to develop power sources that will increase the mission lifetime for unattended sensors and sensor radio networks. In order to take advantage of recent advances in extremely low power subthreshold circuits to greatly exte...
SBIR Phase I 2017 Department of DefenseDefense Advanced Research Projects Agency -
Materials Development for Affordable Maritime Compatible Radio Frequency Materials
SBC: SPECTRUM MAGNETICS LLC Topic: N162117This Phase I SBIR proposal aims to develop flexible and maritime compatible radio frequency (RF) materials for microwave absorbing material applications and antenna applications at GHz frequencies. Based on the deep understanding of material physics for high frequency properties, and extensive experience in fabricating and supplying RF materials, Spectrum Magnetics proposes several material platfo ...
SBIR Phase I 2017 Department of DefenseNavy -
1 Micron Fiber Optic Receiver for Mil-Aero Environment
SBC: PHASE SENSITIVE INNOVATIONS INC Topic: N171031In this SBIR effort we will develop a high-power, high-speed photodiode (PD) receiver optimized for operation at 1 micron wavelength based on collaboration with Dr. J.C. Campbells research group at the UVA. Demand of such photonic receiver arose from the urgent need of high performance microwave photonic links that replace the conventional metal cables for better SWaP, immunity to EMI and broader ...
SBIR Phase I 2017 Department of DefenseNavy -
Improved Skirt System for Air Cushion Vehicles
SBC: Kubota Research Associates Topic: N171042Both the Deep Skirt and Advanced Skirt System material used on Landing Craft Air Cushion (LCAC) experience significant wear during normal operations, which require expensive, time-consuming maintenance repairs. The US Navy is looking for innovative new material and manufacturing method for skirt systems to improve it durability and reduces Total Ownership Cost (TOC). Rubber skirts experience two m ...
SBIR Phase I 2017 Department of DefenseNavy -
Reliability Centered Additive Manufacturing Design Framework
SBC: SENTIENT SCIENCE CORPORATION Topic: N152109Sentient along with sub-contractors at Iowa State University, and Honeywell Aerospace will develop and validate the full standalone DigitalClone - Component (DCC) simulation package (the proposed Reliability Centered Additive Manufacturing Design Framework), for assessing tradeoffs in reliability, inspectability, performance/durability and life-cycle costs of parts made through Additive Manufactur ...
SBIR Phase II 2017 Department of DefenseNavy -
Resin Infusible Carbon Fiber Unidirectional Broadgoods for Fatigue Dominated Applications
SBC: COMPOSITES AUTOMATION LLC Topic: N151072The development of a low-cost permeable unidirectional carbon fabric material withoutfiber undulation is needed in order to provide full property translation that is comparableto unidirectional prepreg. In this Phase I effort, Composites Automation LLC proposes tofabricate unidirectional carbon broadgood using thermoplastic binder with high enoughpermeability of the fabric to allow infusion proces ...
SBIR Phase II 2017 Department of DefenseNavy -
Novel Multi-scale/Multi-physics Integrated Tool for the Prediction of Manufacturing-Induced Defects in Autoclave Composite Airframe Parts
SBC: COMPOSITES AUTOMATION LLC Topic: N15AT003A multi-scale/multi-physics software tool will be developed to predict manufacturing-induced defects, specifically void evolution during composites manufacturing, due to materials, parts, tooling and process parameters. Appropriately modeling the manufacturing process to identify potential problem areas will enable process optimization to produce structural components without defects. Specifically ...
STTR Phase II 2017 Department of DefenseNavy