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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. High Performance GaN High Electron Mobility Transistors on Flexible Substrates

    SBC: AMBP Technology Corporation            Topic: SB042034

    AMBPTech in collaboration with Dr Wayne Anderson's group at SUNY Buffalo proposes to develop a technology for manufacturing high performance GaN transistors on roll to roll flexible non-conducting foils. This effort will transfer the leading research done at the University of Buffalo in the area of high mobility thin film transistors on thin polyimide foils to AMBP Tech which will leverage propi ...

    SBIR Phase I 2004 Department of DefenseDefense Advanced Research Projects Agency
  2. Fabrication of Large-Area Distributed Electronic Modules

    SBC: Anvik Corporation            Topic: SB031019

    `How can one fabricate a sensor that can make different types of measurements on a large area, on a shape that is not known a priori, that is lightweight, that is accurate with a fine resolution, while at the same time has the resolution and sensitivity of a standalone instrument, and at an affordable cost?' This proposal will develop a process and a tool to answer this commonly asked question ...

    SBIR Phase II 2004 Department of DefenseDefense Advanced Research Projects Agency
  3. Maskless Nanolithography with Sub-Pixel Resolution for Microelectronics and Biomolecular Devices

    SBC: Anvik Corporation            Topic: SB032045

    Maskless technology capable of sub-100 nm patterning is attractive for manufacturing of many microelectronic and biomolecular devices. In numerous military applications, the number of different types of electronic modules required is large, whereas the quantities needed of each type of module are small, making the mask costs prohibitive. Previous maskless lithography approaches of imaging a spat ...

    SBIR Phase I 2004 Department of DefenseDefense Advanced Research Projects Agency
  4. Fabrication of High Electrical Mobility Transistors on Flexible Substrates for Phased Array Radar and Terahertz Antennas

    SBC: Anvik Corporation            Topic: ST041005

    Compound semiconductor films are the key ingredient enabling the construction of ultrafast (>10 GHz) transistors. Materials such as Gallium Arsenide (GaAs), Gallium Nitride (GaN), Silicon Germanium (SiGe) and Indium Phosphide (InP) have shown great potential to enable a quantum leap in transistor performance. There are numerous commercial and military applications for such ultrafast transistors. ...

    STTR Phase I 2004 Department of DefenseDefense Advanced Research Projects Agency
  5. Large-Asset, Intelligent, Composite-Matrix, Multifunctional Sensor Networks

    SBC: Anvik Corporation            Topic: SB042035

    The ability to efficiently utilize the large surface area of entities such as buildings, tanks, and ships as active, intelligent skins will allow these assets to become part of a larger, highly-responsive, complex nervous system in mission critical scenarios. This will enable information that would otherwise not be available for real-time monitoring and response. Large-area assets would also all ...

    SBIR Phase I 2004 Department of DefenseDefense Advanced Research Projects Agency
  6. SPRINT: Secure Programming Using Artificial Intelligence Techniques

    SBC: ATC-NY INC            Topic: SB032035

    To meet the demand for more "intelligent" applications-in web services, enterprise software, network management, etc.-developers are turning to the AI technique of rule-based programming. But the very things that make rule-based programming attractive-its flexibility, its introduction of complex and dynamically changing control structures-raise serious security concerns. ATC-NY, in collaboratio ...

    SBIR Phase I 2004 Department of DefenseDefense Advanced Research Projects Agency
  7. EPP: Empirical Privilege Profiling for Black-box Software

    SBC: ATC-NY INC            Topic: SB041016

    The Principle of Least Privilege says that programs should operate with sufficient privilege to get the job done, but no more, in order to minimize the harm that can be done in case of error. The Empirical Privilege Profiling system (EPP) will collect data about privileges actually exercised by running programs and use them to create a composite abstract privilege profile for the program, which c ...

    SBIR Phase I 2004 Department of DefenseDefense Advanced Research Projects Agency
  8. A Motion-Based Approach to Automatic Target Recognition

    SBC: Equinox Corp.            Topic: SB031015

    Based upon efforts during Phase I, this Phase II effort will develop and test a working prototype system exploiting motion to enhance the performance of automatic target recognition (ATR) algorithms.

    SBIR Phase II 2004 Department of DefenseDefense Advanced Research Projects Agency
  9. SINGLE MOLECULE FLUORESCENCE OF BIOMOLECULES AND COMPLEXES

    SBC: EVIDENT TECHNOLOGIES, INC.            Topic: SB041013

    Evident Technologies proposes to optimize the design and application of quantum dots for biological labeling. To enable new dynamic, cellular biology research, we will demonstrate the advantages of the broad excitation spectra, including: narrow emission spectra, precise-tunable emission peaks, long fluorescence lifetimes, and negligible photobleaching properties of quantum dots. We will develop t ...

    SBIR Phase I 2004 Department of DefenseDefense Advanced Research Projects Agency
  10. Static Analysis of AI Systems

    SBC: GRAMMATECH INC            Topic: SB032035

    Toolkits for Artificial Intelligence (AI) are increasingly being used in government and industry. If such systems have access to sensitive information, it is important to know their security properties. A toolkit may contain low-level flaws, such as buffer-overrun errors that allow an attacker to gain control of the host system. Or, there may be flaws in the rule base of a system implemented wi ...

    SBIR Phase I 2004 Department of DefenseDefense Advanced Research Projects Agency
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