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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. Computational Methods for Dynamic Scene Reconstruction

    SBC: ROBOTIC RESEARCH OPCO, LLC            Topic: N16AT017

    Reconstruction of dynamic scenes is at the limits of the state of the art. It is still challenging to accurately reconstruct models in static scenes. Dynamic scenes add a list of challenges that further complicate the problem:separating the dynamic objects from the motion created by the camera motionMorphological changes to the dynamic object itself. Not only is the system moving, but it is actual ...

    STTR Phase I 2016 Department of DefenseNavy
  2. 100GBit/s Nanowire Low Drive Voltage Modulator

    SBC: FREEDOM PHOTONICS LLC            Topic: N13AT005

    In this Phase II Small Business Innovation Research project we will be developing extremely efficient (40G), and compact modulators suitable for microwave analog links, next generation radar and other military applications. III-V semiconductor nanowires a

    STTR Phase II 2015 Department of DefenseNavy
  3. Object Cueing Using Biomimetic Approaches to Visual Information Processing

    SBC: MAYACHITRA, INC.            Topic: N14AT008

    Thousands of years of evolution have produced the human vision system that computers cannot replicate well. Humans are still unsurpassed in their ability to search for objects in visual scenes. To successfully detect objects in cluttered scenes, the human brain is thought to rely on multiple factors: prior probabilities of object occurrence, global scene statistics and object co-occurrence. Machin ...

    STTR Phase II 2015 Department of DefenseNavy
  4. Reliable Manufacturing of Scandia-Doped Tungsten Powders for Thermionic Cathodes

    SBC: NGIMAT, LLC            Topic: N15AT010

    In this STTR effort nGimat will partner with the University of Kentucky to develop a new process for manufacturing scandia-doped tungsten powder for use in vacuum tube cathode devices. While a significant amount of research over the last several decades has shown promise for scandate cathode materials, reliable manufacturing processes that enable commercialization of this technology have remained ...

    STTR Phase I 2015 Department of DefenseNavy
  5. Nanocomposite Scandate Tungsten Powder for High Current Density and Long Life Thermionic Cathodes

    SBC: Vacuum Process Engineering, Inc.            Topic: N15AT010

    Vacuum Process Engineering Inc. in collaboration with the UC Davis millimeter wave research group proposes to develop a large scale production process for nanocomposite scandate tungsten powder for advanced high current density and long life thermionic cathodes that have been previously demonstrated by UC Davis to be superior to the commercially available state-of-the-art. The produced cathodes de ...

    STTR Phase I 2015 Department of DefenseNavy
  6. Large-scale Entity Linking and Disambiguation with DeepDive

    SBC: CLEARCUT ANALYTICS, INC            Topic: N16AT016

    DeepDive is a system for extracting relational databases from dark data: the mass of text, tables, and images that are widely collected and stored but which cannot be exploited by standard relational tools. If the information in dark data --- scientific papers, Web classified ads, customer service notes, and so on --- were instead in a relational database, it would give analysts access to a massiv ...

    STTR Phase I 2016 Department of DefenseNavy
  7. Process diagnostics to quantify mechanical performance of AM parts

    SBC: POLARONYX INC            Topic: N16AT004

    This Navy STTR Phase I proposal presents an unprecedented NDI tool to quantify mechanical properties of metal parts made with laser additive manufacturing with material characteristics and process parameters. A fiber laser SAW and heterodyne detection is used with LIBS to study both in-process and post-process for both flat and shaped parts. It is the enabling technology for characterize the AM pa ...

    STTR Phase I 2016 Department of DefenseNavy
  8. Quantifying Uncertainty in the Mechanical Performance of Additively Manufactured Parts Due to Material and Process Variation

    SBC: VEXTEC Corporation            Topic: N16AT004

    The Phase I objective is a proof of concept capability integrating process information, material properties and damage tolerance simulations into the Additive Manufacturing (AM) design certification process. VEXTEC has a toolbox of software and methods that consists of various software modules in multiple formats that are used to assess the durability of parts processed by traditional methods of c ...

    STTR Phase I 2016 Department of DefenseNavy
  9. LEARNING-BASED APPROACH FOR RELEVANT DATA EXTRACTION (LARDE)

    SBC: ROBOTIC RESEARCH OPCO, LLC            Topic: N13AT016

    Robotic Research, LLC (RR) and Southwest Research Institute (SwRI) are creating a prototype Learning-based Approach for Relevant Data Extraction (LARDE). The LARDE framework is a data extraction and handling framework that can intelligently reduce the volume of raw data from on-board sensors, and organize and persistently store the reduced relevant dataset.

    STTR Phase II 2015 Department of DefenseNavy
  10. Aircraft Carrier-based Precision Ship-Relative Navigation Guidance for Aircraft Landing under Emissions Control Conditions

    SBC: SA PHOTONICS, LLC            Topic: N15AT014

    This proposal describes an all optical fixed wing landing system for a aircraft carrier capable of flying an aircraft all the way to landing in a RF denied environment. The precision, reliability and accuracy of this system will allow control the aircraft without the help from the pilot all the way to touch down. It will work seamlessly with UAVs and manned aircraft that have been retrofitted with ...

    STTR Phase I 2015 Department of DefenseNavy
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