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Award Data

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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. Identification of Multiple Illicit Drugs Using a Handheld Detector Based on Chemiresitive Sensor Arrays

    SBC: Next Dimension Technologies, Inc.            Topic: A16AT008

    Next Dimension Technologies and Caltech will jointly develop a handheld detector to meet the Armys need for a field-based illicit drug identification system. The project will focus on the design and development of a dual-mode chemiresistive sensor array capable of detecting key drugs of interest, including synthetic cannabinoids and opioids. Novel sensing materials, with enhanced chemical sensit ...

    STTR Phase I 2016 Department of DefenseArmy
  2. Acoustically/Vibrationally Enhanced High Frequency Electromagnetic Detector for Buried Landmines

    SBC: AKELA INC            Topic: A16AT004

    Laboratory investigations have suggested that acoustically or vibrationally inducing motion in buried targets can aid in improving target detectability through a characteristic response related to differential target motion. This gain is realized by adding an additional degree of freedom, modulation due to motion in the GPR return signal, to use as a discriminating feature. The AKELA team is propo ...

    STTR Phase I 2016 Department of DefenseArmy
  3. Large-scale Entity Linking and Disambiguation with DeepDive

    SBC: CLEARCUT ANALYTICS, INC            Topic: N16AT016

    DeepDive is a system for extracting relational databases from dark data: the mass of text, tables, and images that are widely collected and stored but which cannot be exploited by standard relational tools. If the information in dark data --- scientific papers, Web classified ads, customer service notes, and so on --- were instead in a relational database, it would give analysts access to a massiv ...

    STTR Phase I 2016 Department of DefenseNavy
  4. Process diagnostics to quantify mechanical performance of AM parts

    SBC: POLARONYX INC            Topic: N16AT004

    This Navy STTR Phase I proposal presents an unprecedented NDI tool to quantify mechanical properties of metal parts made with laser additive manufacturing with material characteristics and process parameters. A fiber laser SAW and heterodyne detection is used with LIBS to study both in-process and post-process for both flat and shaped parts. It is the enabling technology for characterize the AM pa ...

    STTR Phase I 2016 Department of DefenseNavy
  5. Analog Co-Processors for Complex System Simulation and Design

    SBC: Arete Associates            Topic: ST15C002

    It has long been known that analog computers can be faster and more power efficient than digital processors by many orders of magnitude. Until the 1970s analog computers were the dominant controllers in most industrial and military applications. Even today digital processors are still slower and more power consumptive than analog, but offer much more flexibility (programmability) and precision. ...

    STTR Phase I 2016 Department of DefenseDefense Advanced Research Projects Agency
  6. Air Cycle Machine Low Friction, Medium Temperature, Foil Bearing Coating

    SBC: ACREE TECHNOLOGIES INCORPORATED            Topic: N16AT005

    The purpose of this project is to demonstrate the feasibility of using an innovative, durable, low friction, and non-toxic solid lubricant coating for foil air bearings for air cycle machines (ACM). Acrees coating provides superior wear characteristics at all temperatures and provides a substantial improvement over polyimide type coatings that are currently used on ACMs. The coating consists of tw ...

    STTR Phase I 2016 Department of DefenseNavy
  7. Air Cycle Machine Low Friction, Medium Temperature, Foil Bearing Coating

    SBC: IBC Materials & Technologies, LLC            Topic: N16AT005

    In this proposed SBIR program, IBC Materials & Technologies, in conjunction with our industry partner Mechanical Solutions, Inc. (MSI) and Texas A&M University, will leverage our knowledge and experience in the domain of industrial metallic coatings to develop a metallurgical coating solution for the Air Foil Bearing. IBC has deep expertise in a variety of industrial coating processes including mu ...

    STTR Phase I 2016 Department of DefenseNavy
  8. Novel Separator Materials for Achieving High Energy/Power Density, Safe, Long-Lasting Lithium-ion Batteries for Navy Aircraft Applications.

    SBC: OCEANIT LABORATORIES INC            Topic: N16AT008

    Oceanit proposes to develop and demonstrate novel, tailored, designer separator materials with optimized properties to maximize lithium-ion cell/battery performance, life, safety and reliability.

    STTR Phase I 2016 Department of DefenseNavy
  9. 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 developed manufacturing method has a potential to reduce cost of vacuum electronics by as much as 70% as well as simplify and hence expedite production process of these devices by ...

    STTR Phase I 2016 Department of DefenseNavy
  10. Interactive Sensor Fusion for Context-Aware Discrimination

    SBC: OPTO-KNOWLEDGE SYSTEMS INC            Topic: MDA15T001

    We propose a novel computational framework for discrimination that incorporates sensor data from observations of the engagement and from kill assessment (KA) that such sensors can provide. The KA information is combined with data from other sensors to improve the discrimination decision and to reduce the probability of correlated shots. Approved for Public Release 16-MDA-8620 (1 April 16)

    STTR Phase I 2016 Department of DefenseMissile Defense Agency
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