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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. 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
  2. Scanning Probe Microscopy with Active Optical Probes: A Novel Approach to Measurements and Nanomanufacturing

    SBC: Actoprobe LLC            Topic: 2

    Actoprobe LLC proposes development of a novel class of Atomic Force Microscopy (AFM) active optical probes with dramatically increased sensitivity and spatial resolution for Near-Field Optical Nanospectroscopy and Nanoscopy. The innovation is accomplished by integrating a diode laser source and a photodetector into a silicon AFM probe in such a way that both the AFM tip and detector are inside the ...

    SBIR Phase I 2023 Department of CommerceNational Institute of Standards and Technology
  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. 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
  5. Underground Scattered Ultraviolet Relay for Penetrating Enemy Restricted Areas (USURPER)

    SBC: R-DEX SYSTEMS, INC.            Topic: DTRA222005

    Underground facilities provide concealment and protection for an array of activities conducted by US adversaries, including production, storage, and deployment of WMDs.  Communications with these subterranean facilities is a challenge at best. The current solution relies on conventional free-space RF radio links. However, RF propagation underground is not well understood and the variable and the ...

    SBIR Phase I 2023 Department of DefenseDefense Threat Reduction Agency
  6. Increasing Water Use Efficiency by Addressing Sensor Cost Barriers Using Novel Technology

    SBC: TRANSCEND ENGINEERING AND TECHNOLOGY, LLC            Topic: 96

    The project objective is to greatly reduce the cost of monitoring soil water content in highly-resolved vertical profile to promote increased adoption of more efficient water management tools. Cost is the most significant barrier to adoption of sophisticated data-driven irrigation management in permanent agriculture. Highly-resolved vertical soil water profiles are needed to learn soil-specific hy ...

    SBIR Phase I 2023 Department of CommerceNational Oceanic and Atmospheric Administration
  7. Artificial Intelligence (AI) based algorithms for predictive maintenance using NOAA data-sets for renewable energy assets

    SBC: 60Hertz Incorporated            Topic: 92

    This research aims to develop decision support tools for better maintenance and planning of renewable energy generation and storage assets using atmospheric, local weather, and on-ground environmental data blended with site-, regional- and national-generation data. The study will use a combination of these data to understand the relationship between non-cloud cover based atmospheric conditions and ...

    SBIR Phase II 2023 Department of CommerceNational Oceanic and Atmospheric Administration
  8. Artificial Intelligence (AI) based algorithms for predictive maintenance using NOAA data-sets for renewable energy assets

    SBC: 60Hertz Incorporated            Topic: 92

    We propose to use Aerosol Optical Depth (AOD) measurements as an early warning system, to cue on-site validation of the soiling station and any available meteorological (MET) station data to validate if a work order to clean deposited particulate matter is necessary. This would move from reactive maintenance – often weeks delayed, to proactive maintenance – getting ahead of the weather impact ...

    SBIR Phase I 2022 Department of CommerceNational Oceanic and Atmospheric Administration
  9. Nuclear Scintillation Mitigation by Matched Channel Filtering

    SBC: WELKIN SCIENCES, LLC            Topic: DTRA202005

    Welkin Sciences proposes investigating scintillation-hardening techniques applicable to DoD's strategic communication systems, focusing on hardening specific SATCOM links within the Ballistic Missile Defense System Communications Network that are of particular interest to DTRA and its customer, the Missile Defense Agency (MDA). These new scintillation-hardening techniques are based on computationa ...

    SBIR Phase II 2022 Department of DefenseDefense Threat Reduction Agency
  10. Efficient Machine Learning Algorithms for Information Fusion from Radiation Detectors DSIP Proposal Number

    SBC: XL SCIENTIFIC LLC            Topic: DTRA212006

    Our proposal addresses the need for an algorithm to support the fusion of multiple and varied detector outputs into an actionable information. Specific focus is to identify and localize a radiation source in a complex environment and to characterize the complete scene. We will apply our extensive experience with radiation detection to thoroughly model a variety of radiation detectors deployed to c ...

    SBIR Phase I 2022 Department of DefenseDefense Threat Reduction Agency
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