You are here
The Award database is continually updated throughout the year. As a result, data for FY23 is not expected to be complete until September, 2024.
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.
SBC: Tier 1 Performance Solutions, LLC Topic: AF15AT14
Our Phase I work focused on improving modeling and simulations so that the impact of autonomous systems in the battlespace could be better understood. As we have trained our attention on Phase II, it has become increasingly clear that the work we are doing to improve the modeling and simulation of autonomous systems also provides significant leverage for the development of the intelligent behavior ...STTR Phase II 2016 Department of DefenseAir Force
SBC: Physical Sciences Inc. Topic: AF14AT13
Physical Sciences Inc. (PSI) and the research group of Professor Richard Osgood at Columbia University propose to develop a compact optical transceiver based on devices fabricated on a complementary metal-oxide semiconductor (CMOS) platform. The recent development of novel integrated structures in silicon including waveguides, resonators, and photodetectors will enable dramatic reductions in size, ...STTR Phase II 2016 Department of DefenseAir Force
Environmentally-Compliant Kinetic Metallization Coating Materials for Corrosion and Wear Protection of Military Aircraft and Weapon SystemsSBC: INNOVATIVE TECHNOLOGY INC Topic: AF15AT31
Coating materials and coating methods used to protect U.S. military aircraft and weapon systems from corrosion and wear are in need of environmentally benign alternatives in order to keep up with dynamic regulations associated with environment, safety, and occupational health. Thus, the Air Force is supporting research to develop alternatives to the dangerous materials identified on the OSD Emergi ...STTR Phase II 2016 Department of DefenseAir Force
SBC: UTOPIACOMPRESSION,CORPORATION Topic: AF15AT34
Unmanned aircraft systems (UAS) are increasingly seen as a cornerstone in developing the future Defense infrastructure and it is critical that they collaborate efficiently and execute complex missions in denied environments. Although great progress has been made in GPS-denied navigation, the target handoff problem in GPS-denied environments has not been extensively studied. In this problem, a trac ...STTR Phase II 2016 Department of DefenseAir Force
SBC: Freedom Photonics LLC Topic: AF14AT13
This work will focus on the development of monolithic SWIR focal plane array technologies using CMOS or CMOS compatible fabrication technology. This will be realized on a Silicon substrate and incorporate APD+TIA arrays and be scalable to Megapixel arrays and coherent receiver operation for capture of the full optical wavefront vector information.STTR Phase II 2016 Department of DefenseAir Force
SBC: HYPERCOMP INC Topic: AF14AT07
In this program, HyPerComp and University of Michigan have teamedtogether to develop a high-order grid generator for Euler and viscousmeshes. The grid generator is based on HyPerComps successful generalpurpose CAD2Mesh software and is being integrated with HyPerCompsHDphysics and U. Michigans XFlow DG high-order solvers. High-order gridgeneration methods are being implemented to accurately capture ...STTR Phase II 2016 Department of DefenseAir Force
Small Sample Size Semi-Supervised Feature Clustering for Detection and Classification of Objects and Activities in Still and Motion Multi-spectral ImagerySBC: TOYON RESEARCH CORPORATION Topic: AF15AT35
Toyon Research Corp. and the Penn State Univ. propose research and development of innovative algorithms for classifying objects and activities observed in high-dimensional data extracted from multi-sensor motion imagery. The proposed algorithms include novel feature clustering techniques to enable effective characterization of intra-class and inter-class appearance variations in datasets containin ...STTR Phase II 2016 Department of DefenseAir Force
SBC: MINERVA SYSTEMS & TECHNOLOGIES LLC Topic: AF15AT17
Automatic speech recognition (ASR) technology is in wide use today and has been successfully integrated into a number of applications. Although there are also many potential applications for automatic speaker identification (SID), SID accuracy rates are generally not sufficient for widespread use in practical applications. For high accuracy ASR and SID, the microphone must be located near the talk ...STTR Phase II 2016 Department of DefenseAir Force
SBC: LONGSHORTWAY INC. Topic: AF15AT35
LongShortWay Inc. and Northeastern University propose a family of feature reduction and ensemble classifier methods based on Principal Component and Dynamic Logic feature clustering algorithms. New methods combine feature clustering with non-linear feature reduction via manifold learning, and bagging, boosting, and stacking ensemble algorithms.STTR Phase II 2016 Department of DefenseAir Force