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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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Virtual Reality Rad/Nuc Environment (VRRNE) Using COTS Hardware- Building on a Decade of CBRN Development
SBC: SPECTRAL LABS INCORPORATED Topic: DTRA212007Spectral Labs is proposing the development of a simulation software for use with standalone COTS VR headsets which enables the accurate simulation of radiation behaviors and also the equipment used to measure such radiation. SLI will build upon it's decade-long history of simulation and computer based training for the rad/nuc mission space which will enable the rapid prototyping and deployment o ...
SBIR Phase I 2022 Department of DefenseDefense Threat Reduction Agency -
SAR AI Training dataset generated using Reification
SBC: Arete Associates Topic: DTRA21B001The Synthetic Aperture Radar (SAR) Image Generation Data Augmentation (SIGDA) system is achieved using SAR simulators and the Arete’s Reification approach. Large, realistic datasets will be generated using the Arete Reification capability. These large Reified datasets are then used to train machine learning or Artificial Intelligence (AI), Automatic Target Recognition (ATR) classification algori ...
STTR Phase I 2022 Department of DefenseDefense Threat Reduction Agency -
Numerics-Informed Neural Networks (NINNs)
SBC: KARAGOZIAN & CASE, INC. Topic: DTRA21B002The overall goal is to develop numerics-informed neural networks (NINNs) and DeepOnets for chemical reactions and for PDEs with spatial derivatives improve the computational efficiency of the chemical kinetics models for chemical weapon agents and simulants. Based on the first NINN developed by the Karniadakis’s group in 2018, which blends the multi-step time-stepping with deep neural networks, ...
STTR Phase I 2022 Department of DefenseDefense Threat Reduction Agency -
Compact Laser Drivers for Photoconductive Semiconductor Switches- STTR Phase II Sequential
SBC: SCIENTIFIC APPLICATIONS & RESEARCH ASSOCIATES, INC. Topic: DTRA16A004For effective protection against radiated threats, produced by high altitude electromagnetic pulse (HEMP) caused by nuclear detonations and high-power microwave (HPM) Directed Energy (DE) weapons it is important to understand not only the physics of the threats, but also to quantify the effects on mission-critical electrical systems. EMP/HMP simulators enable threat level testing of MCS and provid ...
STTR Phase II 2022 Department of DefenseDefense Threat Reduction Agency -
Guided Writing Assessment System(GWAS)
SBC: SCRIBLE, INC. Topic: 91990022R0001Not available
SBIR Phase I 2022 Department of EducationInstitute of Education Sciences -
Computer Vision Image Interpretation for 3D Model Reconstruction
SBC: TOYON RESEARCH CORPORATION Topic: DTRA18B001Toyon Research Corporation (Toyon) and the University of California, Santa Barbara (UCSB) propose research, development, and demonstration of algorithms and an efficient software prototype for 3D model reconstruction using single images collected via remote sensing. In particular, the effort is focused on processing of high-resolution commercial satellite images for 3D reconstruction of buildings. ...
STTR Phase II 2021 Department of DefenseDefense Threat Reduction Agency -
Multi-Platform 3D Radiation Mapping with Enhanced Sensor Data Fusion and Visualization
SBC: Gamma Reality Inc. Topic: DTRA192005GRI will develop the capability to fuse 3D map and radiation data from multiple 3D radiation mapping systems in real-time into a single, cohesive global map of an operating environment. This new capability will automatically fuse 3D map and radiation data from the GRI Localization and Mapping Platform (LAMP) systems on ground vehicles and unmanned aerial systems (UASs). This capability will be bui ...
SBIR Phase II 2021 Department of DefenseDefense Threat Reduction Agency -
Development of Camera-Motion Insensitive Dynamic Digital Photogrammetry Using Digital Image Correlation
SBC: TOYON RESEARCH CORPORATION Topic: DTRA192007Toyon will develop and deliver a software prototype implementing algorithms for 3D/4D reconstruction using high-speed-camera and navigation data collected by two UAVs. We will test the software in conditions including both small and larger scenes with collection of ground truth data for moving scenes. We will perform multiple airborne data collections with two UAVs carrying high-speed cameras and ...
SBIR Phase II 2021 Department of DefenseDefense Threat Reduction Agency -
Integrated Circuits
SBC: NU-TREK, INC. Topic: DTRA20B002The Nu-Trek team is proposing to develop µDet, a low Size, Weight, and Power (SWaP) read out integrated circuit (IC) for gamma and neuron detectors. µDet offers pulse shape digitization, which in turn enables gamma-neutron discrimination. This is a game changing capability that brings laboratory-level functionality to the field. In Phase I the Nu-Trek Team will develop a baseline design for the ...
STTR Phase I 2021 Department of DefenseDefense Threat Reduction Agency -
Early Reading Diagnastic Profiler
SBC: Analytic Measures Incorporated Topic: 91990021R0003Not available
SBIR Phase II 2021 Department of EducationInstitute of Education Sciences