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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. Proposed Project Title Atlantis AI Based Long Range Space Weather Prediction System

    SBC: Atlantis Industries, Inc.            Topic: 95

    To date, no realizable method of predicting the occurrence or magnitude of a Solar Energetic Particle (SEP) event has been developed. There are multiple models currently available in the Community Coordinated Modeling Center (CCMC) through Goddard Space Flight Center that attempt to provide timely and accurate event propagation (e.g.MAG4, Enlil, and SEPMOD). None of these have yet achieved the goa ...

    SBIR Phase I 2023 Department of CommerceNational Oceanic and Atmospheric Administration
  2. Applications of AI to ensemble forecasts of compound extreme weather events in support of operational adaptation of electric utilities

    SBC: CLIMATE FORECAST APPLICATIONS NETWORK, LLC            Topic: 91

    We propose a high-impact innovation for weather forecasting that integrates global ensemble weather forecasts with an AI-driven post-processing model of extreme weather indices. This innovation will provide the basis for skillful probabilistic forecasts of compound extreme weather events at extended lead times. Extreme weather/climate events of relevance to electric utilities focused on in Phase I ...

    SBIR Phase I 2023 Department of CommerceNational Oceanic and Atmospheric Administration
  3. Multifunctional Metamaterial Laser Energy Control

    SBC: OXFORD DEFENSE NORTH CAROLINA LLC            Topic: HR001121S000729

    Oxford Defense North Carolina, LLC (ODNC) and the University of California, Santa Barbara (UCSB) will collaborate to develop a beam control metamaterial surface in this Phase II STTR effort. A concern with laser beamed energy systems is the inadvertent exposure of operators and bystanders to inadvertently scattered or reflected laser energy. In an Energy Web, multiple transmitters and receivers w ...

    STTR Phase II 2023 Department of DefenseDefense Advanced Research Projects Agency
  4. Connector High-speed Aerial Resupply/Insertion Over-the-horizon Transport

    SBC: LYNNTECH INC.            Topic: HR001121S000705

    Mobility superiority is a force multiplier, allowing for military assets to respond to changing battlefield conditions quickly and unpredictably. Ground and sea-based platforms designed to transport troops and supplies have been utilized for millennia; however, they are limited by the terrain in which they are deployed. Aerial vehicles overcome these limitations by operating above the obstacles en ...

    SBIR Phase II 2023 Department of DefenseDefense Advanced Research Projects Agency
  5. Dynamic Evaluation of Hypersonic Missile Debris Penetration

    SBC: CORVID TECHNOLOGIES, LLC            Topic: N161019

    Non-warhead debris from a typical anti-ship or air-to-air missile can comprise as much as 70% of the total striking mass, which makes it a crucial component of any lethality or survivability assessment and increasingly important as stand-off missile programs are rising in demand.  Many current LVS modeling tools in use by the government do not address residual non-warhead missile debris at all, a ...

    SBIR Phase II 2023 Department of DefenseDefense Advanced Research Projects Agency
  6. Universal and High-Performance Sparsity in Python with TACO and PyData/Sparse

    SBC: Quansight, LLC            Topic: HR0011SB2023406

    We propose to integrate the leading sparse tensor algebra compiler, TACO, as the back-end for PyData/Sparse, the default sparse computing package in the Python ecosystem. The TACO compiler was developed by PI Amarasinghe's group, which pioneered the field of sparse computing compilation. The PyData/Sparse library is developed and maintained by Quansight LLC, a leader of the high-performance scient ...

    SBIR Phase II 2023 Department of DefenseDefense Advanced Research Projects Agency
  7. Radio Location Tracker Mobile Mesh System

    SBC: WISER Systems, Inc.            Topic: USDA813

    WISER Systems, Inc. is a small, woman-owned, disadvantaged business providing best-in-class real-time location systems (RTLS) for nearly any environment. WISER’s RTLS powers applications in aerospace, manufacturing, warehousing, yard management, and many other industries. Unlike GPS-based solutions, WISER’s Redundant Radio Localization and Tracking (RRLT) technology enables autonomous position ...

    SBIR Phase II 2023 Department of DefenseSpecial Operations Command
  8. Persistently Elevated Gas-free Aerostatic Sensor Utility System (PEGASUS)

    SBC: Anuma Aerospace, LLC            Topic: 91

    Anuma Aerospace seeks to develop the conceptual design for, and determine the technical and economic feasibility of, a Persistently-Elevated, Gas-free, Aerostatic Sensor Utility System (PEGASUS), which will work like a data buoy in the sky, continuously collecting and transmitting weather data from the marine atmospheric boundary layer (ABL) with the data being made available via application progr ...

    SBIR Phase I 2023 Department of CommerceNational Oceanic and Atmospheric Administration
  9. 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
  10. Deployment Planning, Monitoring, and Navigation for Uncrewed Systems

    SBC: GEOMETRIC DATA ANALYTICS INC.            Topic: 94

    In Phase I we developed a software capability for predicting the future positions of ocean drifters. We demonstrated the capability to predict drift for objects of varying shapes and train models based on historical observations. In Phase II we will leverage this software to perform high volume experimentation through which we will fully develop trained models using historical data for both passiv ...

    SBIR Phase II 2023 Department of CommerceNational Oceanic and Atmospheric Administration
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