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. Retrofittable and Transparent Super-Insulator for Single-Pane Windows

    SBC: NANOSD, INC.            Topic: DEFOA0001429

    NanoSD, Inc. with its partners will develop a transparent, nanostructured thermally insulating film that can be applied to existing single-pane windows to reduce heat loss. To produce the nanostructured film, the team will create hollow ceramic or polymer nanobubbles and consolidate them into a dense lattice structure using heat and compression. Because it is mostly air, the resulting nanobubble s ...

    STTR Phase II 2016 Department of EnergyARPA-E
  2. Table- top 3-D real time holographic nanoscope

    SBC: XUV LASERS, INC.            Topic: ST15C001

    We propose to develop a high-resolution soft x-ray nanoscope based on Fourier Transform Holography which has the very important advantage for real time visualization: 3D images are nearly instantaneously retrieved with a simple 2D Fast Fourier Transform operation. The table-top soft x-ray nanoscope will use for illumination a compact high average power soft x-ray laser that generates high e ...

    STTR Phase I 2016 Department of DefenseDefense Advanced Research Projects Agency
  3. Real time Tabletop X-ray Nanoscope based on High Harmonic Light Sources

    SBC: Kapteyn-Murnane Laboratories, Inc.            Topic: ST15C001

    N/A

    STTR Phase I 2016 Department of DefenseDefense Advanced Research Projects Agency
  4. Memristor-CMOS Analog Co-Processor for Efficient Computation of PDEs

    SBC: SPERO DEVICES, INC.            Topic: ST15C002

    Spero Devices is proposing design of a memristor-CMOS co-processor to implement analog Discrete Fourier Transforms (DFTs). The analog co-processor invokes spectral methods to solve a class of linear and non-linear partial differential equations (PDEs) arising in the scientific simulation of complex systems. Current PDE solution methods are inefficient and often intractable due to limitations assoc ...

    STTR Phase I 2016 Department of DefenseDefense Advanced Research Projects Agency
  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. Revolutionary Airlift Innovation

    SBC: LOGISTIC GLIDERS INC.            Topic: ST14B004

    We propose to mature LG-X glider technology by manufacturing full-scaled prototypes and characterizing them in land-based flight-testing by using commercial aircraft to drop the gliders. Validated components such as the landing parachute, folding wing mechanism, and autopilot control system will undergo integrated flight-testing. Logistic Gliders will provide a considerable cost share to support ...

    STTR Phase II 2016 Department of DefenseDefense Advanced Research Projects Agency
  7. Context-driven Active-sensing for Repair Tasks II (CART II)

    SBC: DYNAMIC OBJECT LANGUAGE LABS INC.            Topic: ST14B003

    Existing machine perception systems are too inflexible, and are not robust enough to environmental uncertainty. In existing systems, perception components are statically (and manually) configured to process sensor data. The parameters of components in such a system are also statically tuned to operate optimally under very specific conditions. Information flow in such systems is bottom up, and gene ...

    STTR Phase II 2016 Department of DefenseDefense Advanced Research Projects Agency
US Flag An Official Website of the United States Government