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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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N/A
SBC: Algorithm Design & Measurement Topic: N/AN/A
SBIR Phase I 1994 Department of DefenseNavy -
Aided recovery from Visual Loss
SBC: AMS. Inc. Topic: N/AN/A
SBIR Phase I 1994 Department of DefenseArmy -
Graphical User Interface for Design of Hypersonic Vehicles
SBC: Adaptive Research Corp. Topic: N/AN/A
SBIR Phase II 1994 National Aeronautics and Space Administration -
ANGLE TRACKING AND SCATTERED JAMMING CANCELLATION IN ADAPTIVE DIGITAL ARRAY RADARS
SBC: Adaptive Sensors Inc. Topic: N/AADAPTIVE DIGITAL ARRAY PROCESSING IN AIRBORNE RADARS CAN PROVIDE A MAJOR IMPROVEMENT IN TARGET DETECTABILITY BY ADAPTIVELY SUPPRESSING CLUTTER AND JAMMING. THE EFFECTIVENESS OF THIS SPACETIME ADAPTIVE PROCESSING HAS BEEN DEMONSTRATED BY DETAILED SIMULATION AT ASI. RECENTLY, ARRAY RADAR FLIGHT TEST DATA WAS USED TO VERIFY THE PERFORMANCE OF ADAPTIVE RADAR. THE PROPOSED STUDY WILL EXTEND THE SIMULAT ...
SBIR Phase II 1994 Department of DefenseDefense Advanced Research Projects Agency -
Enhanced Angle Estimation in Adaptive Low Frequency Radar Systems
SBC: Adaptive Sensors Inc. Topic: N/AN/A
SBIR Phase I 1994 Department of DefenseAir Force -
HARDWARE IMPLEMENTATION OF OPTICAL CHARACTER RECOGNITION USING ARTIFICIAL NEURAL NETWORKS
SBC: Adaptive Solutions Inc. Topic: N/AWE PROPOSE TO DEMONSTRATE THE FEASIBILITY OF OPTICAL CHARACTER RECOGNITION (OCR) ON A VLSI NEUROCOMPUTER. THE OCR SYSTEM WILL USE STATE OF THE ART ARTIFICIAL NEURAL NETWORK CLASSIFIERS ONADAPTIVE SOLUTIONS' CNAPS NEUROCOMPUTER CHIPS. THE CNAPS CHIPS OFFERUNPRECEDENTED PERFORMANCE OF ARTIFICIAL NEURAL NETWORKS. THE IMAGE PREPROCESSING OF THE OCR SYSTEM WILL ALSO EXECUTE ON THE CNAPS CHIPS. THE GOAL ...
SBIR Phase II 1994 Department of DefenseDefense Advanced Research Projects Agency -
Smart Structures for Active Control of Aircraft Systems
SBC: Adaptive Technologies, Inc. Topic: N/AA smart wing design is proposed here to demonstrate the feasibility of using smart structures for suppression of aircraft vibration. Active wing research, conducted for many years, continues today as an important element in advanced aircraft technology. This program will analytically demonstrate the use of piezoceramic sensors and actuators, in conjunction with a adaptive neural network estimation ...
SBIR Phase I 1994 Department of DefenseAir Force -
Low Complexity Adaptive Algorithms for Airborne ECCM
SBC: Adaptronics, Inc. Topic: N/ARecent research has shown that effective jammer and clutter suppression is best performed with fully space-time adaptive processing. However, allowing adaptive weights on every tap on every element is computationally prohibitive and requires too many samples to converge. Eigenvalue analysis shows that the required number of degrees of freedom (DOF) is significantly less than the dimensionality of ...
SBIR Phase I 1994 Department of DefenseAir Force -
Low-Cost, Thermoplastic Composite Processing for Open-Section Structural Components
SBC: ADC Acquisition Co. dba Automated Dynamics Topic: N/AN/A
SBIR Phase I 1994 National Aeronautics and Space Administration -
PASSIVE RANGING WITH LIMITED DATA
SBC: ADCOM SYSTEMS TECHNOLOGY,INC. Topic: N/AN/A
SBIR Phase I 1994 Department of DefenseNavy