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: Crystalline Mirror Solutions, LLC Topic: AF17AT005
The development of compact and telescope-deployable laser sources emitting in the yellow portion of the visible spectrum is critical for the advancement of DoD-relevant adaptive optics capabilities. The objective of this project is to continue the development of novel laser architectures based on optically-pumped substrate-transferred epitaxial gain media capable of efficient thermal management an ...STTR Phase II 2019 Department of DefenseAir Force
Analysis and Application of Treatments to Mitigate Exfoliation Corrosion (Delamination) of 5XXX Series AluminumSBC: OCEANIT LABORATORIES INC Topic: N18AT016
Oceanit proposes to research and develop chemical or non-chemical methods and processes to impart surface morphology modifications to aluminum-magnesium (Al-Mg) alloys to mitigate and increase the exfoliation corrosion resistance.STTR Phase I 2018 Department of DefenseNavy
An Integrated Materials Informatics/Sequential Learning Framework to Predict the Effects of Defects in Metals Additive ManufacturingSBC: Citrine Informatics, Inc. Topic: N18AT013
In this project, Citrine Informatics and the ADAPT Center at the Colorado School of Mines propose to build an informatics-driven system to understand the effects of defects in additive manufactured parts. The entire history of each sample will be captured on this system; from specific printing parameters and details of precursor materials through to part characterizations and performance measureme ...STTR Phase I 2018 Department of DefenseNavy
SBC: CFD RESEARCH CORPORATION Topic: DTRA14B004
Terrorist use of radioactive nuclear materials via nuclear and/or radiological dispersion devices (dirty bombs) is a serious threat. Therefore, it is crucial to detect proliferation of nuclear material. Critical challenges include: (a) high sensitivity detection of signature emissions from radioactive isotopes, and (b) cost-effectiveness for deployment of sensor networks across large storage facil ...STTR Phase II 2019 Department of DefenseDefense Threat Reduction Agency
SBC: Quinc.tech Inc. Topic: AF18AT001
The Biomagnetics Micro Dosimetry System (BMDS) program will design, model, and simulate a microdosimetry system that can measure and create a three dimensional map of weak radiofrequency signals in biological organisms. The heart of the BMDS project is the front end that delivers very sensitive, broad band measurements with high spatial resolution. The front end is a valuable tool in the investiga ...STTR Phase II 2019 Department of DefenseAir Force
SBC: SYNVITROBIO, INC. Topic: A18BT016
There is a need to develop affordable and specific biosensors to defend against current and future biological threats. Biological methods of detection have been evolved by nature to detect molecules at the micro-scale with flexible specificity and with downstream effectors. Advances in cell-free technology allow for deployment of biosensors on pH-strip-type paper, an affordable, robust, disposable ...STTR Phase I 2019 Department of DefenseArmy
SBC: SA PHOTONICS, LLC Topic: AF17AT011
A 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 Pararescuem ...STTR Phase II 2018 Department of DefenseAir Force
Blending Classical Model-Based Target Classification and Identification Approaches with Data-Driven Artificial IntelligenceSBC: TOYON RESEARCH CORPORATION Topic: N18BT033
Toyon Research Corp. and the University of California propose to develop innovative algorithms to perform automatic target recognition (ATR), localization, and classification of maritime and land targets in EO/IR, LiDAR, and SAR imagery. The proposed algorithms are based on recent developments made at the University of California, which outline a strong mathematical framework for naturally blendin ...STTR Phase I 2019 Department of DefenseNavy
SBC: Carbonics, Inc. Topic: A18BT004
Within this STTR program, Carbonics will partner with USC to commercialize CNTFET based transistor technology that is compatible with wafer-scale monolithic integration process flows whilst offering exceptional performance at mm-Wave frequencies that can outperform incumbent semiconductor high frequency technologies (GaAs, SiGe, RF-CMOS).STTR Phase I 2019 Department of DefenseArmy
SBC: ATOM INC Topic: A18BT004
In this project, we propose to develop a high-performance carbon nanotube (CNT) based millimeter-wave transistor technology and demonstrate monolithic millimeter-wave integrated circuits (MMICs) based on this technology with improved power efficiency, linearity, noise and dynamic range performance over existing GaAs, SiGe and RF-CMOS technologies. The goal of this topic is to leverage Professor St ...STTR Phase I 2019 Department of DefenseArmy