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Award Data

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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. Web-Based Lossless Databse Conversions via SEDRIS

    SBC: RBD GOVERNMENT SYSTEMS LLC            Topic: N/A

    Over the past several years the Synthetic Environment Database Representation and Interchange Specification (SEDRIS) project has been developed to address the issues of simulation data interchange between heterogeneous applications in a non-ambiguous, lossless fashion. As one of the SEDRIS Associate Members, Reality by Design (RBD) has helped both to define and implement the SEDRIS standard. By ...

    SBIR Phase I 1998 Department of DefenseOffice of the Secretary of Defense
  2. Weather "Action-Chain" Enabler (ACE) Application

    SBC: BLUE STORM ASSOCIATES INC.            Topic: 834

    In this Phase II effort, PEMDAS Technologies and Innovations (PEMDAS), in collaboration with subcontractor Westover Studios, proposes to develop a functional prototype of the Weather “Action Chain” Enabler (ACE) application using the technologies identified, knowledge gained, and preliminary design conceived during the Phase I effort. As designed, the Weather ACE application will be a non-intr ...

    SBIR Phase II 2019 Department of CommerceNational Oceanic and Atmospheric Administration
  3. Under Keel Clearance- Risk Management System (UKC-RMS)

    SBC: W R SYSTEMS LTD.            Topic: 828

    The S‐100 specification is a new geospatial standard for hydrographic data, that is presently under development by the International Hydrographic Organization (IHO). Once the S‐100 based products and services are fully developed by the IHO, current datasets will be scheduled for obsolescence, and the Hydrographic Offices (HOs) will no longer produce them. Companies offering e‐navigation solu ...

    SBIR Phase II 2019 Department of CommerceNational Oceanic and Atmospheric Administration
  4. The Marine Debris and Small Object Mapping (DSOM) Radar System)

    SBC: REMOTE SENSING SOLUTIONS, INC.            Topic: 824D

    The DSOM system realized in a Phase II effort will provide a modular, compact and reconfigurable system with the ability to provide unique and new information about the scene of interest (e.g. temporal and height information) when compared with traditional SAR sensors. When compared with other imaging technologies, DSOM has the important advantages of being operable through cloud cover and at nigh ...

    SBIR Phase II 2017 Department of CommerceNational Oceanic and Atmospheric Administration
  5. STRUCTURED SAR IMAGERY FOR OBJECT CHANGE DETECTION AND EXPLANATION

    SBC: DATAMAT SYSTEMS RESEARCH, INC.            Topic: N/A

    The objective of this project is to develop methodology and prototype algorithms for object-level change detection and change explanation using structural SAR image data. Structural SAR image is obtained by the filtration, detion and transformation of local pixel-level formations of strong and weak electromagnetic (EM) responses into higher-level geometric and morphological micro-elements. These ...

    SBIR Phase I 1998 Department of DefenseOffice of the Secretary of Defense
  6. Snatch-Combat Casualty Recovery Device

    SBC: FOSTER-MILLER, INC.            Topic: N/A

    Foster-Miller has leveraged its technological leadership in personnel entanglement via an IR&D program and applied it to the Casualty recovery Device (CCRD). The same team that has invented, developed and manufactured the Grab-NET family of non-lethal weapons systems has already been working on the CCRD through IR&D efforts. We have designed, built and successfully tested all of ...

    SBIR Phase I 1998 Department of DefenseOffice of the Secretary of Defense
  7. Small Operating Unit (SOU) Tent

    SBC: Federal-Fabrics-Fibers, Inc.            Topic: N/A

    The need to supply an effective shelter for Small Operation Units (SOU) or the single soldier remains a priority. A seamless and light weight SOU shelter that provides all the necessary shelter requirements including CB protection is feasible. The design and fabrication method of this SOU shelter can be optimized by employing a seamless tubular woven structure as the primary component of this sh ...

    SBIR Phase I 1998 Department of DefenseOffice of the Secretary of Defense
  8. Small Craft Vision Enhancement/Situation Awareness System

    SBC: A B TECHNOLOGIES, INC.            Topic: N/A

    A B technologies proposes to conduct advanced research leading to development of an enhanced Personal Visualization Environment (PVE) that will provide visualization of fused, multi-sensor, multi-spectral, image and non-image data from external sources. Our progress shows that a lightweight, eyeglass from factor having capabilities of full and partial transmissivity or full immersion virtual view ...

    SBIR Phase I 1998 Department of DefenseOffice of the Secretary of Defense
  9. Self-Cleaning Filter for Pretreatment of Seawater

    SBC: Cape Cod Research            Topic: N/A

    Reverse Osmosis (RO) desalination plants provide fresh water for the Navy. However, occasional high concentrations of colloidal solids and plankton/small animal matter can virtually disable the RO system from operating. A lightweight self-cleaning filter is proposed for this RO application. Phase I develops a design and demonstrates the feasibility of the concept. Tests are planned that consid ...

    SBIR Phase I 1998 Department of DefenseOffice of the Secretary of Defense
  10. Secure Private Neural Network (SPNN)/Charles River Analytics Inc.

    SBC: CHARLES RIVER ANALYTICS, INC.            Topic: SCO182009

    Deep Neural Networks (DNNs) are becoming widely used in the DoD for image classification, but recent research has shown DNNs are vulnerable to adversary attacks. Adversaries can monitor the DNN training and classification processes to learn attributes of the training data and the DNN. With this information, an adversary can gain valuable insight into the potentially sensitive data used to train th ...

    SBIR Phase I 2019 Department of DefenseOffice of the Secretary of Defense
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