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Award Data
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.
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Integrated learning-based and regularization-based super resolution for extreme MWIR image enhancement
SBC: OPTO-KNOWLEDGE SYSTEMS INC Topic: N17AT016OKSI and Northwestern University propose to develop a super-resolution (SR) methodology for mid-wave infrared (MWIR) imagery that produces extreme enhancement of low resolution images. Image enhancement of at least 4x is expected using a standard imaging system. OKSI and Northwestern University will also develop a detector-limited imaging system specifically designed to be used with the SR methodo ...
STTR Phase I 2017 Department of DefenseNavy -
Cognitive Adaptation and Mission Optimization (CAMO) for Autonomous Teams of UAS Platforms
SBC: OPTO-KNOWLEDGE SYSTEMS INC Topic: N17BT035OKSI and Professor Matthew Taylor will develop the Cognitive Adaptation and Mission Optimization (CAMO) command and control tool for teams of UAS platforms. CAMO will incorporate existing databases (e.g., NASA population maps, FAA airspace maps, etc.) as well as real-time data from UAS into a learning-based cognitive control solution that maximizes mission performance while minimizing risk for a t ...
STTR Phase I 2017 Department of DefenseNavy -
Methodologies for Cost-Effective Measurement of Dynamic Material Properties or Characterization of Materials under Dynamic Loads
SBC: KARAGOZIAN & CASE, INC. Topic: MDA16T003Karagozian & Case, Inc. (K&C) and the Georgia Institute of Technology (Georgia Tech) will develop a re-usable, cost-effective, and accurate dynamic characterization methodology capable of measuring the dynamic material properties of various materials of interest under very high strain rates. Materials property data for various ductile materials (e.g., steel and aluminum) are required as input to f ...
STTR Phase I 2017 Department of DefenseMissile Defense Agency -
Nonintrusive Detector of Acute Cognitive Strain (DACS)
SBC: QUANTUM APPLIED SCIENCE & RESEARCH INC Topic: ST16C003Modern defense systems place high cognitive demands on warfighters, often taxing the limit of human capabilities and causing operators to suffer Acute Cognitive Strain (ACS), wherein performance deteriorates markedly, leading to a loss of situational awareness and control, and decrements in team cooperativity. ACS leads to physiological changes driven by sympathetic system activation, including i ...
STTR Phase I 2017 Department of DefenseDefense Advanced Research Projects Agency -
Auto-Docking Autonomous Burial Vehicle (AD-ABV)
SBC: MAKAI OCEAN ENGINEERING INC Topic: N11AT017Subsequent Phase II Proposal, extension of Phase II contract N00039-12-C-0082. This contract involves the development of an underwater vehicle that can reliably and autonomously interconnect power and data cables to undersea nodes after they have been deployed. The Auto-Docking Autonomous Burial Vehicle (AD-ABV) is a cable-connecting adaptation of Makai’s proven ABV, which has been successfully ...
STTR Phase II 2017 Department of DefenseNavy -
Carbon Nanotube Technology for RF Amplification
SBC: CARBON TECHNOLOGY INC Topic: AF15AT15Theoretical studies have shown that the electrical current in a CNT Field Effect Transistor (CFET) is intrinsically linear. Inherently linear CNTs offer significant improvements in performance without sacrificing power and have the potential for greatly improving range and sensitivity in state-of-the-art receivers such as those used in satellite systems and other communications applicationsModelin ...
STTR Phase II 2017 Department of DefenseAir Force -
Blended Reality for Live, Virtual, and Constructive Field Training
SBC: SA PHOTONICS, LLC Topic: AF17AT011A Battlefield Airman (BA) has one of the most challenging positions in the military. BA personnel are tasked with the dual roles of being warfighters as well as Combat Controllers, Pararescuemen, Tactical Air Control Party (TACP) members and Special Operations Weather Technicians often while behind enemy lines. These complex duties require high fidelity training. In some cases, such as pararesc ...
STTR Phase I 2017 Department of DefenseAir Force -
Aircraft Carrier-based Precision Ship-Relative Navigation Guidance for Aircraft Landing under Emissions Control Conditions
SBC: SA PHOTONICS, LLC Topic: N15AT014SA Photonics has developed a concept for our Multiple Optical Beam Landing System (MOBLS) to provide autonomous landing of aircraft in RF denied environments. MOBLS utilizes multiple, redundant methods to determine the real-time location and bearing of the aircraft relative to the carrier-based landing strip. By having built in redundant modalities, MOBLS provides highly reliable landing informati ...
STTR Phase II 2017 Department of DefenseNavy -
SOCRATES Maritime Multi-access Optical Communication System
SBC: SA PHOTONICS, LLC Topic: N16AT024SA Photonics is pleased to propose the SOCRATES free space optical communication and sensing system featuring the Photonic Optical Multicast Mast Unit (POMMU). SOCRATES enables 360 degree multicast capability of high bandwidth communication in addition to threat search and tracking capability. SA Photonics will team with Prof. Michael Kudenov at North Carolina State University who will investigate ...
STTR Phase II 2017 Department of DefenseNavy -
Flexible Sensor Network and Its Embedded Integrated Circuits for Structural Health Monitoring
SBC: ACELLENT TECHNOLOGIES INC Topic: AF16AT03Structural Health Monitoring (SHM) is a new technology that can be reliably used to perform on-line health monitoring of any type of structures with minimal human involvement. Current SHM systems can perform the functions required but are heavy, bulky and difficult to integrate with the structure to provide on-board real-time structural integrity assessment. Embedding of currently available sensor ...
STTR Phase I 2017 Department of DefenseAir Force