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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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Transition Metal Oxide Optical Switch
SBC: 4WAVE, INC. Topic: A09079We propose to test a new sputtering method, Biased Target Deposition (BTD), for growth of polycrystalline VO2 thin films. The BTD method has been shown to be more stable and flexible for reactive deposition than previously used techniques, and we test whether VO2 can be driven into different microstructures, hence properties, by varying growth conditions. We focus on the optically-driven insulator ...
SBIR Phase I 2009 Department of DefenseArmy -
Tunnel Detection using MASINT Techniques
SBC: McQ Inc. Topic: A09148McQ will build upon its extensive experience with MASINT unattended ground sensors and electronics systems to develop a portable sensor system that will detect, classify and provide location information for buried tunnels. We will first demonstrate the technical feasibility of using MASINT techniques to exploit both the signals associated with tunnel detection and the physics of propagation to det ...
SBIR Phase I 2009 Department of DefenseArmy -
DISPENSER STRUCTURE
SBC: Abaris Topic: N/ATHIS PROJECT IS TO EXAMINE THE STRUCTURAL REQUIREMENTS OF A MUNITIONS DISPENSER, AND IDENTIFY COMPOSITE MATERIALS AND THEIR APPLICATION TO DESIGNS THAT WOULD REDUCE PARASITIC STRUCTURAL WEIGHT BY 30%. THERE ARE A VARIETY OF FIBERS, RESINS, AND MANUFACTURING PROCESSES THAT HAVE THE POTENTIAL FOR ACHIEVING SIGNIFICANT WEIGHT REDUCTION. AS THE PROPERTIES AND COSTS OF COMPLETED COMPONENTS VARYWITH MAN ...
SBIR Phase I 1984 Department of DefenseAir Force -
EMERGENCY BREATHING APPARATUS UTILIZING HYDROGEN PEROXIDE
SBC: Abel Company Topic: N/AN/A
SBIR Phase I 1984 Department of DefenseAir Force -
Voice Controlled Office Assistant Using Abductive Networks ($19,968 Phase I option proposed)
SBC: ABTECH CORPORATION Topic: N/AAbTech will survey the hardware and software available to determine what capabilities should be included in an automated office assistant software suite. A language parsing and encoding system in ANN (a leading semantic understanding software package) will be used to parse and encode ASCII output resulting from a voice recognition system such as DragonDictate. The ASCII output from the voice recog ...
SBIR Phase I 1994 Department of DefenseAir Force -
Automated Target Assessment Development Environment
SBC: ABTECH CORPORATION Topic: N/AN/A
SBIR Phase I 1994 Department of DefenseDefense Advanced Research Projects Agency -
SAR-Based Automatic Target Recognition Avionics System
SBC: ABTECH CORPORATION Topic: N/AN/A
SBIR Phase I 1994 Department of DefenseAir Force -
Integrated Avionics Information Processing Development
SBC: ABTECH CORPORATION Topic: N/AN/A
SBIR Phase I 1994 Department of DefenseAir Force -
Embedded Training Techniques for Target Discrimination Systems
SBC: 3 Phoenix, Inc. Topic: N08209Complex systems such as the SPS-74(V) Periscope Detection Radar automatic target recognition system present difficult training challenges for enhancing and maintaining operator proficiency. Technical challenges arise from the nature of software automation. The most difficult recognition cases can usually be trained effectively only with actual sensor data. Keeping the proficiency training curren ...
SBIR Phase I 2009 Department of DefenseNavy -
In situ learning for underwater object recognition
SBC: 3 Phoenix, Inc. Topic: N091066Sea mines are a cost-effective method for hostile forces to attempt to neutralize assets of the U.S. Navy by limiting mobility and creating delay. Mine detection, classification and localization (DCL) is very challenging in littoral environments due to the high clutter, increased background, and dense multipath. 3 Phoenix, Inc. has developed an innovative approach for automatic target detection an ...
SBIR Phase I 2009 Department of DefenseNavy