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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. Real Time Terahertz Heterodyne Imaging System

    SBC: TECHNOLOGY ASSESSMENT & TRANSFER, INC            Topic: A17AT007

    Technology Assessment & Transfer, Inc. and collaborators propose the development of a frequency tunable, high dynamic range heterodyne terahertz imager (HTI) with wavelength scale spatial resolution operating at 30 frames per second. The proposed system will leverage the heterodyne imaging techniques already developed by one of the collaborators to achieve frequency tuning and high dynamic range i ...

    STTR Phase I 2017 Department of DefenseArmy
  2. Developing a Clostridium molecular toolkit for bioconversion of food waste

    SBC: SYNVITROBIO, INC.            Topic: A17AT011

    Waste generation at forward bases creates significant challenges; its disposal presents an economic cost with no direct benefit and its accumulation or burning is a health hazard. The bioconversion of waste into useful compounds could save thousands annually for every soldier and tens of millions in capital expenditure. However, widespread adoption is impeded by low conversion efficiency. We propo ...

    STTR Phase I 2017 Department of DefenseArmy
  3. Tunable Active HEterodyne Terahertz Imager (TAHETI)

    SBC: LONGWAVE PHOTONICS LLC            Topic: A17AT007

    LongWave Photonics, Massachusetts Institute of Technology and Virginia Diodes are proposing the use of the Terahertz Quantum-Cascade Lasers (QCL) combined with a Schottky diode detector for high dynamic range heterodyne imaging. Two single-mode, distributed feedback (DFB) QCLs with milliwatt power levels will be used as local oscillator and illumination for imaging. The QCLs will be downconverte ...

    STTR Phase I 2017 Department of DefenseArmy
  4. Development of Nonlinear Scanning Microwave Microscopy for 3D Tomographic Imaging at the Nanoscale

    SBC: Next 3D Tech, LLC            Topic: A17AT008

    Scanning microwave microscopy (SMM), capable of quantitatively measuring local electromagnetic properties at submicron length scales, has been widely used in semiconductor industry, materials science, physics, biology and other fields of science and technology. In particular, it offers the unique capability of penetrating into the sample-under-test in a non-invasive and non-contacting manner. Howe ...

    STTR Phase I 2017 Department of DefenseArmy
  5. RiskWatch: Linking Environmental Stressors to Security Outcomes

    SBC: INFERLINK CORP            Topic: A17AT021

    Many environmental factors can potentially affect a communitys security. In this project, we propose to develop an open source system, called RiskWatch, for harvesting data from multiple sources and linking that data to security outcomes. Relevant data can potentially be found in a wide variety of sources, including structured, numeric data sets and images published by governments and NGOs, in na ...

    STTR Phase I 2017 Department of DefenseArmy
  6. Shelf-stable synthetic cannabinoid biosensor

    SBC: Nano Terra, Inc.            Topic: A17AT014

    Nano Terra will collaborate with the Center for Drug Discovery (CDD) at Northeastern University, to develop a sensor capable of detecting synthetic cannabinoids independently of their specific molecular structure. The sensor will be portable, label-free and most-importantly shelf stable. Our proposed sensor will employ a structurally stabilized mutant CB1 receptor as the recognition element in fl ...

    STTR Phase I 2017 Department of DefenseArmy
  7. Real Time Inline Bacteria Detection for Military Mobile Water Treatment System

    SBC: PHYSICAL SCIENCES INC.            Topic: A17AT023

    Physical Sciences Inc., in cooperation with Boston University, proposes to develop an Interferometric Reflectance Imaging Sensor (IRIS) to detect waterborne pathogens including E. coli for use with military mobile water treatment systems. The imaging platform will employ an algorithm to discriminate E. coli based on size/shape analysis concurrent with capture probes with application to multiplexe ...

    STTR Phase I 2017 Department of DefenseArmy
  8. Engineered Strain for Bioconversion of Food Waste to Fuels

    SBC: Technology Holding, LLC            Topic: A17AT011

    The proposed strategy in this STTR proposal for bioconversion of food waste to butanol uses the well-described Clostridium acetobutylicum organism to convert the carbohydrate to the fuel molecule butanol. Based on our teams many years of work with butanol formation and genetic studies of the organism and the advancement of recently developed genetic methods, the team will develop a set of genetic ...

    STTR Phase I 2017 Department of DefenseArmy
  9. Biosensor for Detection of Synthetic Cannabinoids

    SBC: NANOCOMPOSIX, INC.            Topic: A17AT014

    Recreational drug use by military personnel can impact soldier preparedness and performance especially in difficult and demanding environments. One challenge for monitoring illicit drug use is that current tests rely on the identification of specific chemical structures. Small variants in the chemistry of a drug can evade detection. In this Phase I SBIR, we will develop a lateral flow test that ...

    STTR Phase I 2017 Department of DefenseArmy
  10. Multiscale Fast and Distributed Data and Statistics Summarization

    SBC: Intelligent Automation, Inc.            Topic: A17AT010

    This work seeks to demonstrate the wide spread applicability of Geometric Multi-Resolution Analysis (GMRA) to uncover low dimensional structure in large volume and high dimensional data sets. The objective is to show that the GMRA approach applies naturally to a variety of data types and to demonstrate its practical implementation in a scalable data intensive computing environment. The GMRA appr ...

    STTR Phase I 2017 Department of DefenseArmy
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