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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. SERS for rapid, on-site multicomponent analysis of water quality

    SBC: EIC LABORATORIES, INC.            Topic: 1D

    From pharmaceuticals and stimulants to industrial chemicals like pesticides and plastic components, the number of contaminants in waste, surface, and groundwater is increasing astronomically. As the hazardous limits of some of these toxins are as low as the 1 part-per-trillion (ppt) range, very sensitive analytical techniques are required. A variety of techniques exist, but they are expensive, lab ...

    SBIR Phase I 2023 Environmental Protection Agency
  2. Monitoring network for methane emissions

    SBC: MESA PHOTONICS LLC            Topic: 2C

    Methane (CH4) is the second most important greenhouse gas after carbon dioxide (CO2). Human activity related radiative forcing by methane accounts for about half of that caused by CO2. In the U.S., the largest industrial source of CH4 is oil and gas systems. Fugitive sources are often identified as potentially large sources of CH4 emissions; however, multiple measurement challenges inhibit more co ...

    SBIR Phase I 2023 Environmental Protection Agency
  3. Machine-learning-assisted development of PCB-free alternatives to commodity pigments

    SBC: KEBOTIX INC            Topic: 5C

    The goal of the proposed effort is to develop polychlorinated biphenyls (PCB)-free pigments and synthetic pathways that do not unintentionally generate PCB as byproducts. This effort will harness Kebotix’s existing AI-powered platform, which includes a workflow that controls high-throughput computational modeling of molecules and materials, proprietary machine learning methods for process contro ...

    SBIR Phase II 2023 Environmental Protection Agency
  4. Multi-Angle, Multi-Wavelength Scattering Diagnostic for Characterization of Dense Liquid Aerosol Sprays

    SBC: OPTICSLAH, LLC            Topic: DTRA224005

    Characterization 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
  5. 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
  6. 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
  7. Large Multi-Modal Scintillators

    SBC: CAPESYM INC            Topic: DTRA22D002

    This work is focused on the development of fabrication technology for large form-factor scintillation crystals for multi-modal detection of radioactive sources, and development of mobile imaging and mapping instruments based on these large format scintillators.

    STTR Phase I 2023 Department of DefenseDefense Threat Reduction Agency
  8. High Dose Rate Rugged GM Detector

    SBC: CAPESYM INC            Topic: DTRA222002

    Gamma dosimetry is an integral part of radiation safety and protection for a wide range of military operations. For these applications, Geiger Müller (GM) tube is used as the standard gamma dose rate sensor. The cost-to-performance metric for this sensor type has reached a plateau and new sensor materials are needed for the next generation of dosimeters. Recently there has been a vast development ...

    SBIR Phase I 2023 Department of DefenseDefense Threat Reduction Agency
  9. 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
  10. Deep Learning for Isotope Identification and Quantification using Atom Trap Trace Analysis

    SBC: SKY PARK LABS LLC            Topic: DTRA224001

    Atom 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
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