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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. A Broadly Tunable Ultrashort Pulse IR OPO Pumped by a Mode-Locked

    SBC: SCIENCE & ENGINEERING ASSOC., INC.            Topic: N/A

    We propose to develop an innovative, compact ultrafast high brightness laser source, broadly tunable in the infrared for vibrationally-resolved infrared microscopy and other applications. By passive Kerr lens mode-locking of a novel diode-pumped tunable Cr:LiSAF laser, 100fs pulses will be generated at 100 MHZ repetition rate with an average power of 1W. An optical parametric oscillator (OPO) pump ...

    SBIR Phase I 1997 Department of Commerce
  2. Accelerated in-situ analysis of multi-dimensional data

    SBC: AIRMETTLE INC            Topic: 91

    The massive volumes of multi-dimensional array-oriented data generated by NOAA programs and the scientific community at large are predominantly stored in industry standard Network Common Data Form (NetCDF). Key challenges exist in making use of data stored in netCDF: data sets are often too large to be copied and transferred across networks for every user, and each time data is accessed by an anal ...

    SBIR Phase I 2022 Department of CommerceNational Oceanic and Atmospheric Administration
  3. Accelerated in-storage analysis of multi-dimensional data

    SBC: AIRMETTLE INC            Topic: 91

    AirMettle Inc. is transforming big data analytics for NOAA and the broader scientific community with a real-time smart data lake solution. Our innovative method utilizes massively parallel in-storage data processing within a versatile software defined storage framework, deployable on-premises or as a cloudbased service. Building upon our successful NOAA SBIR Phase I project, we strive to improve t ...

    SBIR Phase II 2023 Department of CommerceNational Oceanic and Atmospheric Administration
  4. Accelerated Radiation Susceptibility Analysis and Prediction (RadSAP) Tool

    SBC: DFR SOLUTIONS, LLC            Topic: DTRA162006

    "The increasing complexity of devices, reduced budgets and accelerated program timelines, requires a new approach to predicting radiation of integrated circuit (IC) designs. Most approaches to date require gate level analysis and do not scale easily to device level calculations, leading to methods that are not practical under most program timeline and cost budgets. Previously, DfR Solutions has ...

    SBIR Phase I 2017 Department of DefenseDefense Threat Reduction Agency
  5. Accelerating Society-wide EMP Protection of Critical Infrastructure and Microgrids

    SBC: Instant Access Networks, LLC            Topic: DTRA152006

    The IAN Team, unique in its exceptional experience in EMP protection, materials science, microgrid development and management of industrial facilities needed by DCI, proposes to develop innovative strategies and methodologies for DCI island-mode operations in the event of power grid disruption or failure due to an EM threat.These island mode operations will be supported by advanced EMP shielding m ...

    SBIR Phase I 2016 Department of DefenseDefense Threat Reduction Agency
  6. Accessible Virtual Reality for Machinist Training Modules

    SBC: Microcompatibles, Inc.            Topic: N/A

    This proposal will emphasize outfitting a virtual classroom and creating a skills (CNC) oriented training program. The virtual classroom will involve contextual learning using a realistic simulation of the manufacturing environment. The simulation will have all of the characteristics of a machine shop, but will allow the learner to explore and experiment ("discover") in ways that would not be pr ...

    SBIR Phase I 1995 Department of Commerce
  7. A Computational Tool for Simulating Hydrodynamic Behavior of Multiple Vessels in a Harbor

    SBC: DYNAFLOW, INC.            Topic: N/A

    The hydrodynamic characteristics of a vessel are affected in restricted waters by the proximity of nearby moving or moored vessels. Interactions can result in large motions, potential collisions and significant loads on nearby structures, banks, and sediments. In Phase 1, we developed and demonstrated feasibility of a PC-Based numerical code for the prediction of the hydrodynamics of multiple vess ...

    SBIR Phase I 2002 Department of Commerce
  8. A Computational Tool for Simulating Hydrodynamic Behavior of Multiple Vessels in a Harbor

    SBC: DYNAFLOW, INC.            Topic: N/A

    The hydrodynamic characteristics of a vessel are affected in restricted waters by the proximity of nearby moving or moored vessels. Interactions can result in large motions, potential collisions and significant loads on nearby structures, banks, and sediments. In Phase 1, we developed and demonstrated feasibility of a PC-Based numerical code for the prediction of the hydrodynamics of multiple vess ...

    SBIR Phase II 2002 Department of Commerce
  9. A Deep Learning Approach for Enhanced Discrimination of Nuclear Weapons Testing

    SBC: Array Information Technology, Inc            Topic: DTRA182005

    Seismic, hydro acoustic, and infrasonic (SHI) analyses possess many desirable properties, such as long-distance wave propagation and attributable spectral characteristics. They have been, by large, relegated to capturing massive explosions, earthquakes, bolides, and space-bound rocket launches. Although machine learning techniques have been employed on various military and commercial projects, rar ...

    SBIR Phase I 2019 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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