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.
-
Integrated Multi-mode Handheld RIID
SBC: RADIATION MONITORING DEVICES, INC. Topic: DTRA152007The goal of the project is to develop a handheld instrument that detects, identifies, and categorizes radioactive sources based on gamma, thermal-, and fast-neutron signatures. Existing radioisotope identification devices (RIIDs) are typically biased toward gamma spectroscopy; some instruments may use an additional inefficient neutron counter in form of a He-3 tube. The recent development of mat ...
SBIR Phase II 2018 Department of DefenseDefense Threat Reduction Agency -
Tools for Memory Hierarchy Optimization on Pre-Exascale HPC Architectures
SBC: EP ANALYTICS, INC.. Topic: DTRA172003DTRA uses High Fidelity Computer Codes (HFCC) to investigate weapon effects and techniques for countering Weapons of Mass Destruction (WMD). End-to-end HFCC simulations in support of the DTRA Agent Defeat Warfighter Capability will require calculations including multiple phenomena that occur in vastly different time scales (-sec to hours). As DTRA becomes increasingly reliant on computational mode ...
SBIR Phase I 2018 Department of DefenseDefense Threat Reduction Agency -
Hybrid DNN-based Transfer Learning and CNN-based Supervised Learning for Object Recognition in Multi-modal Infrared Imagery
SBC: TOYON RESEARCH CORPORATION Topic: 1On this effort Toyon Research Corp. and The Pennsylvania State University are developing deep learning-based algorithms for object recognition and new class discovery in look-down infrared (IR) imagery. Our approach involves the development of a hybrid classifier that exploits both transfer learning and semi-supervised paradigms in order to maintain good generalization accuracy, especially when li ...
STTR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency -
Compact Laser Drivers for Photoconductive Semicond
SBC: SCIENTIFIC APPLICATIONS & RESEARCH ASSOCIATES, INC. Topic: DTRA16A004For effective protection against radiated threats, it is important to understand not only the physics of the threats, but also to quantify the effects they have on mission-critical electrical systems. Radiated vulnerability and susceptibility testing requires delivery of high peak power and peak electric fields to distant targets. The most practical solution to simulate such environments on large ...
STTR Phase II 2018 Department of DefenseDefense Threat Reduction Agency -
Additive Manufacturing of All Solid-State Batteries with Novel Electrode Architectures
SBC: STORAGENERGY TECHNOLOGIES INC Topic: DTRA172005Supercapacitors have attracted considerable recent attentions due to their high-power density, and long cycle life. Unfortunately, the energy density of supercapacitors is too low to meet these applications requiring an energy supply for longer periods (hours or days). Storagenergy Technologies Inc. proposes to develop a superior all solid-state battery (ASSB) fabricated by additive manufacturing ...
SBIR Phase I 2018 Department of DefenseDefense Threat Reduction Agency -
Non-Saturating, Real-Time Battlefield Dosimeter
SBC: SPECTRAL LABS INCORPORATED Topic: DTRA172007Spectral Labs proposes the development of a radiation dosimeter capable of accurately measuring both prompt and residual gamma and neutron particles without saturating at the dose rates expected from a nuclear event. The proposed dosimeter will be capable of live readout but will typically operate in a low power sleep state for extended battery life, and the dosimeter will utilize a well-tested ci ...
SBIR Phase I 2018 Department of DefenseDefense Threat Reduction Agency -
Isotope Nuclear Forensics from Optical Real-time Measurements (INFORM)
SBC: APPLIED SPECTRA INC Topic: DTRA172008The SBIR Phase I effort will demonstrate the performance of an Atmospheric Pressure Glow Discharge (APGD) excitation/ionization source with Laser Ablation (LA) sampling and Optical Emission Spectroscopy (OES) for rapid field elemental and isotopic analysis of surrogate nuclear debris samples. Laser sampling mitigates the need for sample preparation or consumables. The APGD will be tested as an ato ...
SBIR Phase I 2018 Department of DefenseDefense Threat Reduction Agency -
Field-Expedient Nuclear Isotope Characterization Spectrometer
SBC: HEDGEFOG RESEARCH INC. Topic: DTRA172008To address the DTRA's need for a field deployable mass spectrometer for nuclear forensic analysis (NFA), Hedgefog Research Inc. (HFR) proposes to develop a new Field-Expedient Nuclear Isotope Characterization Spectrometer (FENICS), based on species-specific ionization and novel signal enhancement schemes. New system features in FENICS will enable rapid, on-site characterization of nuclear debris s ...
SBIR Phase I 2018 Department of DefenseDefense Threat Reduction Agency -
Low-Shot Detection in Remote Sensing Imagery
SBC: TOYON RESEARCH CORPORATION Topic: NGA172002Toyon Research Corporation proposes to research and develop algorithms for low-shot object detection, adapting popular techniques to address the complexities inherent in ATR for remote sensing. Traditional object detection algorithms rely on large corpora of data which may not be available for more exotic targets (such as foreign military assets), and therefore, traditional Convolutional Neural Ne ...
SBIR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency -
GEOFF: Geo-location from Edges, Objects, Foundational data, and a Filter
SBC: SCIENTIFIC SYSTEMS CO INC Topic: NGA181007Ground vehicles with navigation capability (e.g., GPS) can index into foundation data (e.g., Google Maps) to gain situational awareness abouttheir surroundings. When GPS and RF navigation sources are degraded, maintaining situational awareness requires an alternative navigationsource. One alternative source is the foundation data itself. The data contain objects at known 3D locations, which projec ...
SBIR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency