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. Small Sample Size Semi-Supervised Feature Clustering for Detection and Classification of Objects and Activities in Still and Motion Multi-spectral Imagery

    SBC: TOYON RESEARCH CORPORATION            Topic: AF15AT35

    Toyon Research Corp. and the Penn State Univ. propose research and development of innovative algorithms for classifying objects and activities observed in high-dimensional data extracted from multi-sensor motion imagery. The proposed algorithms include novel feature clustering techniques to enable effective characterization of intra-class and inter-class appearance variations in datasets containin ...

    STTR Phase II 2016 Department of DefenseAir Force
  2. 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
  3. Microelectronics Component Adhesive Selection and Design Rules for Failure Avoidance

    SBC: CFD RESEARCH CORPORATION            Topic: MDA14T002

    Thermally induced fatigue and residual stress introduced during fabrication are sources of failure in microelectronics, which raises reliability concerns for MDA and its system integrators. CFDRC has teamed with experts in the reliability of microelectronics packaging to develop a physics based modeling and testing protocol to correlate material properties and thermal loading conditions to stress ...

    STTR Phase II 2016 Department of DefenseMissile Defense Agency
  4. Higher Order Mesh Generation for Simulation of Complex Systems

    SBC: HYPERCOMP INC            Topic: AF14AT07

    In this program, HyPerComp and University of Michigan have teamedtogether to develop a high-order grid generator for Euler and viscousmeshes. The grid generator is based on HyPerComps successful generalpurpose CAD2Mesh software and is being integrated with HyPerCompsHDphysics and U. Michigans XFlow DG high-order solvers. High-order gridgeneration methods are being implemented to accurately capture ...

    STTR Phase II 2016 Department of DefenseAir Force
  5. High-Sensitivity Monolithic Silicon CMOS APD and ROIC

    SBC: FREEDOM PHOTONICS LLC            Topic: AF14AT13

    This work will focus on the development of monolithic SWIR focal plane array technologies using CMOS or CMOS compatible fabrication technology. This will be realized on a Silicon substrate and incorporate APD+TIA arrays and be scalable to Megapixel arrays and coherent receiver operation for capture of the full optical wavefront vector information.

    STTR Phase II 2016 Department of DefenseAir Force
  6. VLSI CMOS-memristor Building-block for Future Autonomous Air Platforms

    SBC: NUGENT, MICHAEL ALEXANDER            Topic: AF10BT31

    The objective of this program is to build AHaH Computing demonstration chips and boards, establishing in the process the technical frameworks for a memristor wafer services business with the Idaho Microfabrication Laboratory (IML) at Boise State University (BSU), Dr. Kris Campbell at BSU, and other fabrication facilities. We believe that AHaH Computing and kT-RAM offer the most practical and robus ...

    STTR Phase II 2016 Department of DefenseAir Force
  7. Data Driven Intent Recognition Framework

    SBC: OTHER LAB, INC.            Topic: NSF13599

    A critical aspect of exoskeleton control that has to date introduced a performance limitation is the ability of the exoskeleton to recognize the intent of the operator so it can apply assistance to their desired motion. This intent recognition effort is typically solved using ad-hoc methods where subject matter experts make design decisions and tune transitions to identify intended maneuvers as re ...

    STTR Phase II 2016 Department of DefenseSpecial Operations Command
  8. Ultrafast Physical Random Number Generation Using Chaos

    SBC: Torch Technologies, Inc.            Topic: A14AT002

    Random numbers are essential for a growing number of modern applications. As computer speed and communications bandwidth have increased the potential for practical streaming cipher and large-scale Monte Carlo simulations have become technologically feasible. For these and other applications, ultrafast random number generators are essential. This is intuitively clear. Additionally, however, the ide ...

    STTR Phase II 2016 Department of DefenseArmy
  9. High Gain, High Power PCSS with Integrated Monolithic Optical Trigger

    SBC: Eureka Aerospace            Topic: A14AT004

    This proposal addresses the problem of PCSS/laser trigger integration using a single monolithic laser diode array, thus simplifying the entire optical delivery network necessary for efficient operation of PCSSs. The proposal constitutes a logical continuation of Phase I effort where the main focus was on the detailed design of the PCSS/laser diode array (LDA) integrated architecture. In Phase II ...

    STTR Phase II 2016 Department of DefenseArmy
  10. Decision Making under Uncertainty

    SBC: GCAS, Inc.            Topic: MDA13T001

    Our proposed second order uncertainty (SOU) product is a decision making software solution that addresses the problem of providing accurate and precisely defined decision courses of action (COAs) of complex, time-constrained problems in a fraction of the time required by alternative methods striving to achieve the same level of precision. Complex decision situations can deal with large volume of ...

    STTR Phase II 2016 Department of DefenseMissile Defense Agency
US Flag An Official Website of the United States Government