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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. Acoustic Communications Modem Using MIMO Technology

    SBC: HEAT, LIGHT, AND SOUND RESEARCH, INC.            Topic: N05T022

    The proposed Phase II STTR project is a joint effort between Heat, Light and Sound Research Inc (HLS Research), Arizona State University (ASU), and BAE Systems, titled Acoustic Communications Modem Using Multiple Input, Multiple Output (MIMO) Technology. The Phase I contract (N00014-05-M-0224) was awarded HLS Research and ASU under STTR Topic N05-T022, titled Underwater Acoustic Communications. Th ...

    STTR Phase II 2007 Department of DefenseNavy
  2. Adaptive Optics for Nonlinear Atmospheric Propagation of Laser Pulses

    SBC: ADVANCED SYSTEMS & TECHNOLOGIES INC            Topic: N17AT024

    Filamentation of ultra-short laser pulse propagation in non-linear media offers significant potentials allowing to address numerous problems in military and commercial sectors. However, practical implementation of this requires an ability to control the USLP at its propagation through inhomogeneous media, like turbulent atmosphere. On the basis of our approach for combating turbulence effects on p ...

    STTR Phase II 2018 Department of DefenseNavy
  3. Additive Manufacturing for Microwave Vacuum Electron Device Cost Reduction

    SBC: RADIABEAM TECHNOLOGIES, LLC            Topic: N16AT010

    The Department of the Navy has a need for the development of an additive manufacturing (AM) process for key vacuum electronic device components to meet on-demand, flexible, and affordable manufacturing requirements. The goal of this Phase II effort is to develop and validate Electron Beam Melting (EBM) additive manufacturing (AM) technology for the production of vacuum electronic devices meeting t ...

    STTR Phase II 2018 Department of DefenseNavy
  4. Advanced Radar Data Fusion

    SBC: TECHNOLOGY SERVICE CORP            Topic: MDA06T003

    In Phase I, TSC and the University of Arizona developed a new generalized Space-Time Adaptive Processing (Generalized STAP) algorithm that discriminates among classes of scatterers that move on generalized space-time paths. The new formalism was applied to three-dimensional (3D) imaging of objects in the missile threat complex while suppressing radar dipole clutter by means of adaptive complex we ...

    STTR Phase II 2007 Department of DefenseMissile Defense Agency
  5. Aerogel Spray Thermal Barrier

    SBC: OCELLUS, INC.            Topic: N05T015

    Hypersonic weapons are being developed to meet the war fighter's requirements of increased weapon effectiveness, decreased time to target, and increased fly out range. Of importance to hypersonic missiles and projectiles, aerothermic heating caused by the friction of air passing the weapon body, is one area of intensive research. At Mach 4, as the hypersonic weapon passes through the lower atmos ...

    STTR Phase II 2007 Department of DefenseNavy
  6. AgileBeam Reconfigurable Free Space Optical Communication System

    SBC: SA PHOTONICS, LLC            Topic: AF18AT010

    Free Space Optical (FSO) communication systems provide many benefits for satellite communications, including high data rates and low Size, Weight and Power (SWaP) compared to traditional RF communication systems. Additionally, FSO systems operate without RF emissions and are inherently immune to RF interference and jamming. The narrow optical beams and small Field-of-View of the optical receivers ...

    STTR Phase II 2020 Department of DefenseAir Force
  7. Algorithms for Look-down Infrared Target Exploitation

    SBC: SIGNATURE RESEARCH, INC.            Topic: NGA18A001

    The multidisciplinary area of GEOINT is changing and becoming more complex. A major driver of innovation in GEOINT collection and processing is artificial intelligence (AI). AI is being leveraged to help accomplish spatial analysis, change detection, and image or video triage tasks where filtering objects of interest from large volumes of data is critical. NGA is confronting the changing GEOINT l ...

    STTR Phase II 2020 Department of DefenseNational Geospatial-Intelligence Agency
  8. A Metabolomic Framework in Predicting Optimal Fitness and Performance

    SBC: LIPOMICS TECHNOLOGIES            Topic: A04T020

    This Phase II STTR award for evaluation of combat and civilian personnel for optimum performance will establish metabolic biomarkers that assess the health and predict the performance success of individual personnel. Seventy subjects reflecting the spectrum of normal human physiological boundaries will be sampled before and after a defined set of physical tests and their serum analyzed using a met ...

    STTR Phase II 2007 Department of DefenseArmy
  9. Artificial Intelligence/Machine Learning to Improve Maneuver of Robotic/Autonomous Systems

    SBC: AUTONOMOUS SOLUTIONS INC            Topic: A17AT019

    Autonomous vehicles are being used for many applications varying from small indoor robots, to large-scale mining trucks, and military vehicles operating in fast-changing environments. Global position systems (GPS) have traditionally been used for vehicle positioning. GPS works well in open environments, but suffers from significant degradation due to terrain, certain operating conditions, and even ...

    STTR Phase II 2020 Department of DefenseArmy
  10. A Software Toolkit for Predicting the Neural Signatures of Cognitive States

    SBC: SONALYSTS INC            Topic: AF18BT001

    The United States Air Force (USAF) has a long history of using human performance models to increase the effectiveness of training, and predict the impact of physical factors (like fatigue) and environmental factors (like time pressures and information uncertainty). Within Phase I, Sonalysts and Miami University worked to improve the quality of these models through the development of the EEG Modeli ...

    STTR Phase II 2020 Department of DefenseAir Force
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