You are here
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.
-
Urbanscape: Single Shot Multi-Task 3D Reconstruction
SBC: DZYNE TECHNOLOGIES, LLC Topic: DTRA18B001Hazard assessment tools that model the transport and dispersion of Chemical, Biological, Radiological, Nuclear and Explosive (CBRNE) materials through urban areas are only as good as the 3D models that inform the physics model. Maintaining accurate, up-to-date 3D models of urban areas is challenging. Even in the commercial world, urban construction and demolition may result in the models created a ...
STTR Phase II 2020 Department of DefenseDefense Threat Reduction Agency -
Discrete 3-D Electronics for Mobile Radiation Detection Systems
SBC: RADIATION DETECTION TECHNOLOGIES, INC. Topic: DTRA18B002Phase II will utilize knowledge gained from phase I work to develop and execute a manufacturing process suitable for producing quantities of 3-D printed discrete circuits for radiation detection systems. The goal is to support mobile radiation detection system requirements for high voltage, analog amplification, and MCA functionality to produce differential pulse height spectra in time sequence. ...
STTR Phase II 2020 Department of DefenseDefense Threat Reduction Agency -
Circulating Diagnostic Markers of Infectious Disease
SBC: PATHOVACS INCORPORATED Topic: CBD18A001Assays for accurate diagnosis of early stages of infection with biothreat agents, on the day of infection or within a few days of infection, will find wide use in both civilian and military applications These diagnostic assays, which are anticipated to be highly specific and sensitive, will add to the repertoire of tools of hospitals and clinics that serve our armed forces personnel deployed on th ...
STTR Phase II 2020 Department of DefenseOffice for Chemical and Biological Defense -
Semiconductor Nanomembrane based Sensors for High Frequency Pressure Measurements
SBC: NANOSONIC INC. Topic: AF13AT15This Air Force Phase II STTR program would develop low-cost semiconductor nanomembrane (NM) based high frequency pressure sensors, using SOI (Silicon on Insulator) NM techniques in combination with our nanocomposite materials. Such low-modulus, conformal nanomembrane sensor skins with integrated interconnect elements and electronic devices can be applied to new or existing wind tunnel models for f ...
STTR Phase II 2015 Department of DefenseAir Force -
Self-Calibrating, Conformal Nanomembrane based Pressure Sensors for Embedded Sensing Applications
SBC: NANOSONIC INC. Topic: AF18AT002This DOD Phase II STTR program would develop self-calibrating, conformal nanomembrane based pressure sensors for embedded sensing applications, using silicon on insulator techniques in combination with our pioneering nanocomposite materials. Such low-modulus, conformal nanomembrane sensor skins with integrated self-calibration, interconnect elements and electronic devices can be applied to new or ...
STTR Phase II 2020 Department of DefenseAir Force -
Space-Based Computational Imaging System
SBC: ALPHACORE INC Topic: AF19AT015New advances in onboard processing hardware, coupled with novel image sensor and camera design, have enabled the Air Force to consider the revolutionary benefits of computational imaging systems for space. Of particular interest to the Air Force are computational imaging systems that combine both optical and computational elements in ways that have the potential to outperform traditional (all-op ...
STTR Phase II 2020 Department of DefenseAir Force -
Bayesian-Based Probabilistic Limit Cycle Oscillation Prediction of Aircraft with Stores
SBC: ZONA TECHNOLOGY INC Topic: AF18BT008The overall technical objective of the Phase II effort is to extend the Phase I developments and achieve a fully predictive Bayesian-based, data driven, probabilistic prediction tool of the F-16 limit cycle oscillation (LCO). This tool will rely on the available flight test data on some configurations to predict the LCO amplitude on different configurations within an uncertainty band that account ...
STTR Phase II 2020 Department of DefenseAir Force -
A Software Toolkit for Predicting the Neural Signatures of Cognitive States
SBC: SONALYSTS INC Topic: AF18BT001The United States Air Force (USAF) has a long history of using human performance models to increase the effectiveness of training, and predict the impact of physical factors (like fatigue) and environmental factors (like time pressures and information uncertainty). Within Phase I, Sonalysts and Miami University worked to improve the quality of these models through the development of the EEG Modeli ...
STTR Phase II 2020 Department of DefenseAir Force -
Secure Efficient Cross-domain Protocols
SBC: SONALYSTS INC Topic: AF13AT08ABSTRACT: The Sonalysts Team proposes to develop a solution to establish secure cross enclave network interfaces that facilitate the flow of data between different levels of classification while improving and ensuring both security and data integrity. We will develop a prototype software application that will complement Cross-Domain Solution (CDS) installations by standardizing configuration and ...
STTR Phase II 2015 Department of DefenseAir Force -
Multiphysics-based Sensor Fusion
SBC: Guerci Consulting LLC Topic: AF13AT01ABSTRACT: A new approach to multisensor fusion is proposed that utilizes a knowledge-aided (KA) multi-physics model as the main fusion engine, as opposed to traditional purely statistical methods. The new Multi-Physics Sensor Fusion (MPSF) is enabled byadvances in high performance computing, knowledge-aided (KA) processing, and new techniques in multi-physics modeling. Traditional sensor fusion ou ...
STTR Phase II 2015 Department of DefenseAir Force