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 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. Wireless Torque Sensor for Condition Based Maintenance

    SBC: Albido Corporation            Topic: N11AT030

    In recent years, the need for highly reliable, durable and non-intrusive systems for monitoring the health condition of naval structures becomes more and more recognized. Of particular importance is the condition based maintenance of Navy rotating machinery (motors, generators, pumps, gear systems, etc.). Such Structural Health Monitoring (SHM) systems should be able to detect failures in their ea ...

    STTR Phase II 2013 Department of DefenseNavy
  2. Wide Area Video Motion Blur Elimination

    SBC: ObjectVideo            Topic: ST081007

    This Small Business Technology Transfer Phase-II project will design, develop and integrate an effective and efficient motion blur elimination algorithm to Autonomous Real-time Ground Ubiquitous Surveillance - Imaging System (ARGUS-IS) system by optimizing and implementing the algorithm proposed during the Phase-I investigation to FPGA. In addition, an image enhancement toolkit for ground station ...

    STTR Phase II 2010 Department of DefenseDefense Advanced Research Projects Agency
  3. Wash Durable Flame Resistant NonWovens

    SBC: LUNA INNOVATIONS INCORPORATED            Topic: A16AT015

    Luna Innovations, teamed with North Carolina State University’s (NCSU) Non-Wovens Institute (NWI), will meet the Army’s need to develop a novel wash durable, flame resistant, non-woven textile. This practical system will provide military uniforms with excellent flame resistant (FR) protection at a lower manufacturing cost without compromising performance such as durability, repellency, and vec ...

    STTR Phase II 2018 Department of DefenseArmy
  4. Volumetric Wavefront Sensing for the Characterization of Distributed-Volume Aberrations

    SBC: Guidestar Optical Systems, Inc.            Topic: AF18AT006

    Modern Directed Energy (DE) missions require target engagements at low elevation angles and long ranges.These engagement geometries require propagation through distributed-volume turbulence. To correct for distributed-volume turbulence effects, an estimation of the turbulence along the propagation path is required. Correcting for these image aberrations will improve the quality of the target image ...

    STTR Phase I 2018 Department of DefenseAir Force
  5. Volume Digital Holographic Wavefront Sensor

    SBC: NUTRONICS, INC.            Topic: AF18AT006

    Nutronics, Inc. and Montana State University propose to develop and evaluate computational methods for a Volume Digital Holographic Wavefront Sensor (VDHWFS).VDHWFS based imaging offers the potential to provide the equivalent of wide field of view adaptive optics (AO) compensated imaging, but without the added complexity of AO components and hardware.Recent result for coherent imaging developed by ...

    STTR Phase I 2018 Department of DefenseAir Force
  6. VLSI Compatible Silicon-on-Insulator Plasmonic Components

    SBC: ITN ENERGY SYSTEMS, INC.            Topic: AF08BT18

    This Small Business Technology Transfer Phase I project will develop ultradense, low-power plasmonic integration components and devices for on-chip manipulation and processing of optical signals. Both passive and active components will be studied. Detailed performance predictions will be obtained through finite element modeling (FEM) of the harmonic Maxwell’s equations. The FEM provides detai ...

    STTR Phase I 2010 Department of DefenseAir Force
  7. Virus-Like Particle Based pan-Marburgvirus Vaccine

    SBC: LUNA INNOVATIONS INCORPORATED            Topic: CBD18A002

    Marburg virus (MARV) is a filamentous enveloped non-segmented negative sense RNA virus. This viruse is considered to be extremelydangerous with case fatality rates as high as 88-90%. Extensive efforts have gone towards effective vaccines for MARV prevention, however,none have been successfully established as licensed vaccines. Glycoprotein (GP) is the only surface protein of MARV. There are substa ...

    STTR Phase I 2018 Department of DefenseOffice for Chemical and Biological Defense
  8. Video Information Summarization, Captioning, Analysis, and Rank Ordering (VISCARO)

    SBC: DECISIVE ANALYTICS CORPORATION            Topic: N17AT021

    Military and open-source videos contain a wealth of information about entities, concepts, and events of interest to U.S. and coalition forces. Analysts have access to these video sources but are severely limited in exploiting the information contained within due to manpower and technical limitations. To fully understand the relevance of a video to mission objectives, analysts must watch each video ...

    STTR Phase II 2018 Department of DefenseNavy
  9. Verification and Validation of Physics Based DPAL Models

    SBC: AEROSOFT INC            Topic: MDA12T008

    AeroSoft, with the USAFA Laser and Optics Research Center proposes to create an extensive and thorough Verification and Validation (V & V) Program for anchoring physics based modeling software for static and flowing DPAL systems. During Phase I, a review of existing experimental programs will made and used for preliminary validation with the GASP software suite. Once deficiencies in the current e ...

    STTR Phase I 2013 Department of DefenseMissile Defense Agency
  10. Topological Data Analysis and Wide Area Detection of Chemical and Biological Contamination MP 39-10

    SBC: METRON INCORPORATED            Topic: A10AT020

    Metron, Inc. and Stanford University propose to design, develop, test and demonstrate topological data analytic algorithms to analyze hyperspectral imagery. We propose to adapt the topological data analytic techniques, including Stanford’s successful Mapper algorithm, to the hyperspectral imagery domain. Using these algorithms we will identify topological and geometric features and properties ...

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