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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. Additive Manufacturing Sensor Fusion Technologies for Process Monitoring and Control.

    SBC: X-Wave Innovations, Inc.            Topic: DLA18A001

    Additive Manufacturing (AM) is a modern and increasingly popular manufacturing process for metallic components, but suffers from well known problems of inconsistent quality of the finished product. Process monitoring and feedback control are therefore crucial research areas with a goal of solving this problem. To address this concern, X-wave Innovations, Inc. (XII) and the University of Dayton Res ...

    STTR Phase I 2018 Department of DefenseDefense Logistics Agency
  2. Hybrid DNN-based Transfer Learning and CNN-based Supervised Learning for Object Recognition in Multi-modal Infrared Imagery

    SBC: TOYON RESEARCH CORPORATION            Topic: 1

    On this effort Toyon Research Corp. and The Pennsylvania State University are developing deep learning-based algorithms for object recognition and new class discovery in look-down infrared (IR) imagery. Our approach involves the development of a hybrid classifier that exploits both transfer learning and semi-supervised paradigms in order to maintain good generalization accuracy, especially when li ...

    STTR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
  3. Algorithms for Look-down Infrared Target Exploitation

    SBC: SIGNATURE RESEARCH, INC.            Topic: 1

    Signature Research, Inc. (SGR) and Michigan Technological University (MTU) propose a Phase I STTR effort to develop a learning algorithm which exploits the spatio-spectral characteristics inherent within IR imagery and motion imagery.Our archive of modelled and labeled data sets will allow our team to thoroughly capture the variable elements that will drive machine learning performance.The overall ...

    STTR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
  4. Multi-Physics Models for Parachute Deployment and Braking

    SBC: CMSOFT, INC.            Topic: AF18AT004

    The main objective of this STTR Phase I effort is two-fold. First, to develop a robust approach for coupling the flow solver Kestrel with the multidisciplinary software tool AERO Suite in order to enable the physics-based modeling and simulation of the dynamics of Aerodynamics Decelerator Systems (ADS) such as parachutes from deployment to terminal velocity or terminal descent and touchdown, and t ...

    STTR Phase I 2018 Department of DefenseAir Force
  5. Security Escorts for Not-Yet-Trusted Software

    SBC: STOTTLER HENKE ASSOCIATES, INC            Topic: OSD06SP2

    With the rapid release of new software applications, builds and patches for existing applications, and increased mobility of software across networks, more of our systems will run software applications that may not have a full pedigree of evaluation and testing to ensure that they are free from exploits and malware. Additionally, any previous certifications are invalidated at the first update. H ...

    STTR Phase I 2006 Department of DefenseAir Force
  6. Miniature Electronic Sniffer for Navy Vertical Take off Unmanned Aerial Vehicles (VTUAVs)

    SBC: CONNECTICUT ANALYTICAL CORPORATION            Topic: N06T010

    The use of Unmanned Aerial Vehicles (UAVs) in warfare, reconnaissance, and surveillance activities has increased dramatically over the past decade and, for the first time, offers cost effective, intelligence-gathering capabilities without placing soldiers and sailors at unnecessary risk. Current UAV platforms have already been equipped with a limited range of sensors such as miniature audiovisual ...

    STTR Phase I 2006 Department of DefenseNavy
  7. Novel, High Power, W-band, Meander Line TWT

    SBC: CALABAZAS CREEK RESEARCH, INC.            Topic: AF06T022

    This proposal contains innovative, traveling-wave tube (TWT) designs compatible with three-dimensional (3D) micro-electro-mechanical systems (MEMS) fabrication techniques for millimeter-wave applications. The development will focus on novel planar interaction circuits; long life, high current density electron guns; and compact magnet configurations. The ultimate goal will be high power, efficient, ...

    STTR Phase I 2006 Department of DefenseAir Force
  8. High-current Field Emitter Arrays for Directed Energy Weapons

    SBC: CALABAZAS CREEK RESEARCH, INC.            Topic: AF06T018

    CCR will team with SRI International to develop high current field emission arrays for high power RF source. The Phase I program will utilize a combination of analytical calculation, computer simulation, and experimental verification to study various approaches and determine their effectiveness in achieving the program goals. The technical objective of the Phase I program will be to develop field ...

    STTR Phase I 2006 Department of DefenseAir Force
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