You are here

Award Data

For best search results, use the search terms first and then apply the filters
Reset

The Award database is continually updated throughout the year. As a result, data for FY23 is not expected to be complete until September, 2024.

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 of Multifunctional Nanocomposites

    SBC: Sciperio, Inc.            Topic: A13AT010

    Sciperio with team members Georgia Institute of Technology and Centecorp have teamed up to develop an Additive Manufacturing Composite using nano and micro fillers. The team will develop multi-scale models that are supported by experimental characterization for advanced 3D Printable materials. Inelastic response of high strength hierarchical structures composed of engineered materials and specif ...

    STTR Phase I 2013 Department of DefenseArmy
  2. Additive Manufacturing of 17-4 PH Stainless Steel Metal Matrix Composites using Nickel functionalized Carbon Nanotubes

    SBC: SHEPRA, INC.            Topic: N16AT007

    Additive Manufacturing (AM) has a potential to significantly reduce the cost and lead time associated with the maintenance and sustainment issues faced by the US Navy. However, current materials such as 17-4 PH Stainless Steel typically achieve half the required mechanical properties when additively manufactured, thus limiting the use of AM in critical parts. Recent advancements in carbon nanotube ...

    STTR Phase I 2016 Department of DefenseNavy
  3. Advanced Algorithms For A Combined Chem-Bio Standoff Sensor

    SBC: SOUTH BAY SCIENCE & TECHNOLOGY CORP.            Topic: ARMY08T026

    Frequency Agile Laser sensor has shown great promise in standoff detection of chemical and biological agents in the long wave infrared (LWIR) portion of the spectrum through several field trials in recent years. The fact that it is now possible to perform

    STTR Phase II 2010 Department of DefenseArmy
  4. Advanced Algorithms For A Combined Chem-Bio Standoff Sensor

    SBC: SOUTH BAY SCIENCE & TECHNOLOGY CORP.            Topic: A08T026

    Frequency Agile Laser sensor has shown great promise in standoff detection of chemical and biological agents in the long wave infrared (LWIR) portion of the spectrum through several field trials in recent years. The fact that it is now possible to perform

    STTR Phase II 2010 Department of DefenseArmy
  5. Advanced Command and Control Architectures for Autonomous Sensing

    SBC: TOYON RESEARCH CORPORATION            Topic: N18BT030

    We propose to develop an innovative open architecture for the semi-autonomous command and control (C2) of teaming Unmanned Aircraft Systems (UAS). The proposed architecture, based upon Toyon’s Decentralized Asset Management system, supports both centralized and decentralized fusion and control autonomy solutions as well as hybrids approaches. Leveraging STANAG-4586, TCP/IP, UPD, Google™ protob ...

    STTR Phase I 2019 Department of DefenseNavy
  6. Advanced Compressor Technology for Ultrafast Fiber Lasers

    SBC: Raydiance, Inc.            Topic: NAVY07T009

    Ultrafast laser technology offers compelling capabilities for national defense, state-of-the-art health care, and the materials processing industry. The development of this technology into commercial form factor hardware has been limited mostly by the size, cost, complexity, and/or pulse energy limitations of current ultrafast laser systems. Optical fiber based ultrafast lasers have dramatically d ...

    STTR Phase II 2010 Department of DefenseNavy
  7. Advanced Compressor Technology for Ultrafast Fiber Lasers

    SBC: Raydiance, Inc.            Topic: N07T009

    Ultrafast laser technology offers compelling capabilities for national defense, state-of-the-art health care, and the materials processing industry. The development of this technology into commercial form factor hardware has been limited mostly by the size, cost, complexity, and/or pulse energy limitations of current ultrafast laser systems. Optical fiber based ultrafast lasers have dramatically d ...

    STTR Phase II 2010 Department of DefenseNavy
  8. Advanced Computational Methods for Study of Electromagnetic Compatibility

    SBC: HYPERCOMP INC            Topic: AF09BT13

    The leakage of electromagnetic (EM) energy into air vehicles, and particularly into ordnance, poses a hazard that requires careful evaluation. Under current guidelines, such evaluations are primarily to be carried out through extensive testing of items under possible field conditions, a process that can be both time-consuming and costly. The scope of this STTR Phase I activity is to implement a h ...

    STTR Phase I 2010 Department of DefenseAir Force
  9. Advanced Computational Methods for Study of Electromagnetic Compatibility

    SBC: MATHEMATICAL SYSTEMS & SOLUTIONS, INC.            Topic: AF09BT13

    The present text proposes development of efficient, accurate and rapidly-convergent algorithms for the simulation of propagation and scattering of electromagnetic fields within and around structures that (i) Consist of complex combinations of penetrable materials as well as perfect and imperfect conductors, and, (ii) Possess complex geometrical characteristics, including open surfaces, metallic c ...

    STTR Phase I 2010 Department of DefenseAir Force
  10. Advanced Data Processing, Storage and Visualization Algorithms for Structural Health Monitoring Sensor Networks of Naval Assets

    SBC: ACELLENT TECHNOLOGIES INC            Topic: N10AT042

    Acellent Technologies Inc. and Prof. F. G. Yuan at North Carolina State University (NCSU) are proposing to develop a Hybrid Distributed Sensor Network Integrated with Self-learning Symbiotic Diagnostic Algorithms and Models to determine materials state awareness and its evolution, including identification of precursors, detection of microdamages and flaws near high stress area or in a distributed ...

    STTR Phase I 2010 Department of DefenseNavy
US Flag An Official Website of the United States Government