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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. Infectious Disease Diagnostics and Differentiation of Viral vs. Bacterial Infections for Point ofCare Applications

    SBC: GENECAPTURE, INC.            Topic: CBD15C001

    GeneCapture, Inc. is proposing to develop a rapid in vitro diagnostic prototype using our patented molecular-based CAPTURE (ConfirmActive Pathogens Through Unamplified RNA Expression) assay. Based on the results and experience gained in our Phase I STTR contractHDTRA1-16C-0061: Infectious Disease Diagnostics and Differentiation of Viral vs. Bacterial Infections for Point of Care Applications, we p ...

    STTR Phase II 2018 Department of DefenseOffice for Chemical and Biological Defense
  2. Trajectory Simulation using PSM

    SBC: TRITON SYSTEMS, INC.            Topic: MDA17T002

    Triton Systems, Inc. proposes to develop a method for efficiently running federated simulations of atmospheric and orbital rocket flight. Tritons proposed method will be able to get information between time steps without the need for interpolation and will significantly reduce the computational time needed to run Federated simulations.Approved for Public Release | 18-MDA-9522 (23 Feb 18)

    STTR Phase I 2018 Department of DefenseMissile Defense Agency
  3. Novel Structure-Preserving Algorithms for Accurate Rocket Trajectory Propagation

    SBC: OPTIMAL SYNTHESIS INC.            Topic: MDA17T002

    The Department of Defense uses large-scale high-resolution federated simulations to propagate rocket vehicle trajectories. Runge-Kutta methods have served as a de-facto standard while conducting such simulations. However, there are several challenges while using Runge-Kutta methods for this task. Firstly, there should be exact time-step matching between federates, otherwise the states have to be i ...

    STTR Phase I 2018 Department of DefenseMissile Defense Agency
  4. SmallSat Stirling Cryocooler for Missile Defense (SSC-X)

    SBC: WECOSO, INC.            Topic: MDA17T003

    West Coast Solutions (WCS), in collaboration with the Georgia Institute of Technology and Creare LLC, proposes an adaptation of our SmallSat Stirling Cryocooler (SSC) technology in response to STTR Topic MDA17-T003: High-Efficiency, Low-Volume, Space-Qualified Cryogenic-Coolers. In Phase 1 we will scale up a design currently in development for NASA to meet the Missile Defense Agency (MDA) topic re ...

    STTR Phase I 2018 Department of DefenseMissile Defense Agency
  5. Smallsat Cryocooler System

    SBC: IRIS TECHNOLOGY CORPORATION            Topic: MDA17T003

    The Iris Technology team which also include Northrop Grumman Aerospace Systems (NGAS) and the University of Wisconsin, is attacking the problem of high-efficiency, low-volume, space-qualified cryocooler systems.The team has a firm starting point by leveraging the Northrop Grumman Microcryocooler and the Iris Technology mLCCE (Miniature Low Cost Control Electronics).TMU enhancement will start with ...

    STTR Phase I 2018 Department of DefenseMissile Defense Agency
  6. Lightweight Structural Components of a Missile Body

    SBC: ALPHASTAR TECHNOLOGY SOLUTIONS LLC            Topic: MDA17T004

    The Ground-Based Interceptor (GBI) missile is the weapon component of the Ground-Based Midcourse Defense (GMD) system that consists of a rocket booster and kinetic kill vehicle. Recently, MDA has sought technologies to improve the performance of the booster vehicle (BV). To date, studies have shown that reductions in weight have a direct impact on overall effectiveness. The current proposal aims t ...

    STTR Phase I 2018 Department of DefenseMissile Defense Agency
  7. Fine Powder Cathode and Separator Binder Characterization for Thermal Batteries

    SBC: CFD RESEARCH CORPORATION            Topic: MDA16T001

    Fine powder thermal battery cathode materials can exhibit challenging flow properties which makes processing with automated presses difficult.Granulating these powders can substantially improve flow properties and reduce the tendency for powder segregation during handling and pressing operations.Additionally, the properties of MgO that lead to good performance in thermal battery separators are not ...

    STTR Phase II 2018 Department of DefenseMissile Defense Agency
  8. Human Performance Optimization: Ketone Esters for Optimization of Operator Performance in Hypoxia

    SBC: HVMN Inc.            Topic: SOCOM17C001

    In the setting of altitude-induced hypoxia, operator cognitive capacity degrades and can compromise both individual and team performance. This degradation is linked to falling brain energy (ATP) levels and an increased reliance on anaerobic energy production from glucose. Ketone bodies are the evolutionary alternative substrate to glucose for brain metabolic requirements; previous studies have sho ...

    STTR Phase I 2018 Department of DefenseSpecial Operations Command
  9. Human Performance Optimization

    SBC: REJUVENATE BIO INC            Topic: SOCOM17C001

    Special Operations Forces (SOF) are an integral aspect of the US military. SOF operators are among the most elite and highly qualified individuals in the U.S. military. As such, extraordinary physical and mental demands are placed upon them to excel in extreme environments for extended periods of time. This unrelenting cycle of combat deployments and intense pre-deployment training shortens the fu ...

    STTR Phase I 2018 Department of DefenseSpecial Operations Command
  10. System for Nighttime and Low-Light Face Recognition

    SBC: Systems & Technology Research LLC            Topic: SOCOM18A001

    Face recognition performance using deep learning has seen dramatic improvements in recent years. This improvement has been fueled in part by the curation of large labeled training datasets with millions of images of hundreds of thousands of subjects.This results in effective generalization for matching over pose, illumination, expression and age variation, however these datasets have traditionally ...

    STTR Phase I 2018 Department of DefenseSpecial Operations Command
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