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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.

  1. Ruggedized Radionuclide Particle Collection System

    SBC: CREARE LLC            Topic: DTRA182006

    The detection of radionuclide aerosols is a critical indicator of a nuclear detonation. Current detection systems used in the Comprehensive Nuclear Test Ban Treaty’s  (CTBT) global monitoring network stations spend 24 hours collecting and concentrating particulates from the air to gather enough sample material for adequate detection sensitivity. This approach is inherently a batch process that ...

    SBIR Phase II 2023 Department of DefenseDefense Threat Reduction Agency
  2. Network Fusion Radiation Analysis Tool

    SBC: PHYSICAL SCIENCES INC.            Topic: DTRA212006

    Physical 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
  3. A Broadband and Compact Dual Comb Spectrometer for Precise Field Detection of Trace Elements and Chemicals

    SBC: OPTICSLAH, LLC            Topic: DTRA20B003

    There is a growing need to accurately characterize nuclear materials not only for nuclear safeguards and nonproliferation treaty verification but also for forensics and provenance. At present, nuclear material identification requires samples to be collected and sent to laboratories for analysis using large and expensive equipment, such as inductively coupled plasma mass spectrometers (ICP-MS) or s ...

    STTR Phase II 2023 Department of DefenseDefense Threat Reduction Agency
  4. Virtual Reality Rad/Nuc Environment (VRRNE) Using COTS Hardware- Building on a Decade of CBRN Development Phase II

    SBC: SPECTRAL LABS INCORPORATED            Topic: DTRA212007

    Spectral Labs is proposing to continue 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 for this Phase II SBIR activity. SLI will build upon its decade-long history of simulation and computer-based training for the rad/nuc mission space which will enab ...

    SBIR Phase II 2023 Department of DefenseDefense Threat Reduction Agency
  5. Efficient Machine Learning Algorithms for Information Fusion from Radiation Detectors

    SBC: XL SCIENTIFIC LLC            Topic: DTRA212006

    This 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
  6. Fast and Radiation Hard Scintillators for High Dose Detection

    SBC: RADIATION MONITORING DEVICES, INC.            Topic: DTRA20B001

    The event of nuclear explosion generates harsh radiation conditions, evaluation of which is critical in protecting the military and civilian personnel from serious harm.  Due to these harsh conditions only very simple methods of radiation assessment are employed, such as measurement of equivalent dose.  Improvements to current instrumentation are sought that would provide energy resolved dose in ...

    STTR Phase II 2023 Department of DefenseDefense Threat Reduction Agency
  7. The Solid-State Photomultiplier for the Nuclear Battlefield

    SBC: RADIATION MONITORING DEVICES, INC.            Topic: DTRA202006

    In the condition of a nuclear event, it is critical that warfighters and first responders are equipped with active dosimeters and dose rate meters.  These tools can be made from scintillation-based detector systems that require a high performance photodetector.  The silicon photomultiplier is a compact photodetector that would be ideal for such a detector system, yet their performance suffers fr ...

    SBIR Phase II 2023 Department of DefenseDefense Threat Reduction Agency
  8. SEAL: A generalized framework for deploying a secure application lifecycle management process with CI/CD

    SBC: EP ANALYTICS, INC..            Topic: DTRA212004

    The 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
  9. Synthetic Aperture Radar(SAR) Image Generation Data Augmentation

    SBC: ETEGENT TECHNOLOGIES, LTD.            Topic: DTRA21B001

    Machine 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
  10. A Deep Learning Approach for Enhanced Identification of Nuclear Explosions

    SBC: Array Information Technology, Inc            Topic: DTRA182005

    ML is a subset of AI. Discrimination based on SI signals is a module in monitoring systems(NDC & IDC. We will provde a prototype  that will incorporate elements of the discrimination procedures found

    SBIR Phase II 2022 Department of DefenseDefense Threat Reduction Agency
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