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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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Deep Learning for Isotope Identification and Quantification using Atom Trap Trace Analysis
SBC: SKY PARK LABS LLC Topic: DTRA224001Atom Trap Trace Analysis (ATTA) has proven to be a valuable technique for detecting rare gas radioisotopes. By tuning the frequency of a laser to the resonance of a desired isotope, only atoms of that isotope are captured by a magneto-optical trap (MOT) and detected by observing its fluorescence with a CCD camera. Existing approaches rely on manually selecting a region-of-interest (ROI) of image p ...
SBIR Phase I 2023 Department of DefenseDefense Threat Reduction Agency -
Network Fusion Radiation Analysis Tool
SBC: PHYSICAL SCIENCES INC. Topic: DTRA212006Physical Sciences Inc. proposes to develop and mature the Network Fusion Radiation Analysis Tool (NFRAT) to address the need for an enhanced radiation hazard mapping, localization and identification capability in support of contamination avoidance operations and sensitive site exploitation. The NFRAT software will utilize dynamic representations of the radiological environment and statistical mode ...
SBIR Phase II 2023 Department of DefenseDefense Threat Reduction Agency -
Efficient Machine Learning Algorithms for Information Fusion from Radiation Detectors
SBC: XL SCIENTIFIC LLC Topic: DTRA212006This proposal for Phase II in response to the Defense Threat Reduction Agency (DTRA) topic 212-006 “Algorithm that can locally link radiation detectors (of different resolutions) to enhance identification/ localization capability”. The topic describes the need for an algorithm to support the fusion of multiple and varied detector outputs into actionable information. The specific focus is to id ...
SBIR Phase II 2023 Department of DefenseDefense Threat Reduction Agency -
Automating Fault Injection and Radiation Testing with Benches
SBC: GRAF RESEARCH CORPORATION Topic: DTRA224003The Phase I effort of this program builds on our experience in developing automated fault-injection and testing frameworks. We will expand upon the CPU-based fault injection methodology developed as part of the Dynamic Robust Single Event Upset Simulator (DrSEUs) to also target FPGA resources. This updated methodology will serve as the foundation for an automated fault injection platform that targ ...
SBIR Phase I 2023 Department of DefenseDefense Threat Reduction Agency -
Ultrahigh-speed digital holography and spectroscopy to characterize multiphase detonation environments
SBC: METROLASER, INCORPORATED Topic: DTRA224005The goal of the proposed DTRA Phase I program is to develop a set a diagnostic tool to capture the evolution of aerosols and particulates ejected from liquid-filled containers impacted by fragments and shock waves in a detonation environment. Since these involve CWMD scenarios, the need is for optical diagnostics that are capable of providing accurate measurements at large standoff distances. Furt ...
SBIR Phase I 2023 Department of DefenseDefense Threat Reduction Agency -
Multi-Angle, Multi-Wavelength Scattering Diagnostic for Characterization of Dense Liquid Aerosol Sprays
SBC: OPTICSLAH, LLC Topic: DTRA224005Characterization of liquid aerosol droplets in agent defeat scenarios presents enormous challenges, in part due to high optical density conditions in sprays generated from shock or fragment interactions with liquid-filled containers. We propose a new diagnostic that can probe optically dense regions, based on optical scattering of laser light from particles/droplets. Our diagnostic instrument ...
SBIR Phase I 2023 Department of DefenseDefense Threat Reduction Agency -
SEAL: A generalized framework for deploying a secure application lifecycle management process with CI/CD
SBC: EP ANALYTICS, INC.. Topic: DTRA212004The Defense Threat Reduction Agency (DTRA) uses High-Fidelity (HF) computer codes, many of which are legacy codes that have evolved over many years, to investigate weapon effects phenomenology and techniques for countering Weapons of Mass Destruction (WMD). As DTRA’s reliance on HF codes for tasks critical to national security continues to increase, transitioning such codes from legacy coding pr ...
SBIR Phase II 2023 Department of DefenseDefense Threat Reduction Agency -
Synthetic Aperture Radar(SAR) Image Generation Data Augmentation
SBC: ETEGENT TECHNOLOGIES, LTD. Topic: DTRA21B001Machine learning algorithms have demonstrated performance on par with or superior to human analysts on large datasets when sufficient training data is available. For military applications obtaining sufficient, truthed data is always a challenge. Three approaches have been used for measured data collections to support sensor exploitation programs: coordinated collections, turntable measurements ...
STTR Phase II 2023 Department of DefenseDefense Threat Reduction Agency -
Baseline for Artificial Intelligence Learning of Indications and Warnings from a Cellular Kit (BAILIWICK)
SBC: KNOWMADICS, INC. Topic: DTRA224004Cellular devices contain several sensors required to enable functionality and detect environmental conditions. A recent example of practical application of data generated by these sensors are SARS-CoV-2 (COVID-19) contact tracing. Perhaps more interesting is Google’s development of algorithms to use Android devices as “mini seismometers” to detect earthquakes. When considered as a distr ...
SBIR Phase I 2023 Department of DefenseDefense Threat Reduction Agency -
TARgeting DIstributed Sensors for Situational Surveillance (TARDIS3)
SBC: MTRI INC Topic: DTRA224004The TARgeting Distributed Sensors for Situational Surveillance (TARDIS3) program will study the feasibility of sensor-leakage techniques to enable explosive event detection without relying on friendly human or technological assets. Specifically, we propose placing targeted advertisements through public marketplaces that request and surreptitiously exfiltrate the sensor data needed to detect and lo ...
SBIR Phase I 2023 Department of DefenseDefense Threat Reduction Agency