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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. Tools for Memory Hierarchy Optimization on Pre-Exascale HPC Architectures

    SBC: EP ANALYTICS, INC..            Topic: DTRA172003

    DTRA uses High Fidelity Computer Codes (HFCC) to investigate weapon effects and techniques for countering Weapons of Mass Destruction (WMD). End-to-end HFCC simulations in support of the DTRA Agent Defeat Warfighter Capability will require calculations including multiple phenomena that occur in vastly different time scales (-sec to hours). As DTRA becomes increasingly reliant on computational mode ...

    SBIR Phase I 2018 Department of DefenseDefense Threat Reduction Agency
  2. Learning to Code with a Pretend Play Storytelling Model

    SBC: CODESPARK, INC.            Topic: 91990018R0006

    In previous research and development, the developers created codeSpark, a game that employs a visual and block-based approach with puzzles to teach programming skills to children ages 5 to 9 years old. In this project, the developers will create a prototype of a fantasy-based story to be integrated within the existing game. The pretend-play scenarios will include characters, storylines, and incent ...

    SBIR Phase I 2018 Department of EducationInstitute of Education Sciences
  3. Structured Adaptivity for Computer Science Coding

    SBC: ZYANTE INC.            Topic: 91990018R0006

    In this project, the team will develop a prototype of a web-based coding progression tool for high school students to practice coding from easy to successively harder levels. The prototype will provide graded practice exercises, solutions, and explanations for important coding tasks. At the end of Phase I, in a pilot study in five high school classrooms, the researchers will examine whether the pr ...

    SBIR Phase I 2018 Department of EducationInstitute of Education Sciences
  4. Novel Remediation Technique for PFAS contaminated Soil and Sediment

    SBC: QMetry Corporation            Topic: 17NCER3A

    Both chemicals Perfluorooctane Sulfonate (PFOS) and Perfluorooctanoic Acid (PFOA) are very persistent, toxic, and bio-accumulate in the environment and human body. PFAS can end up in soil from multiple sources, often mixed with other pollutants. Because of their unique lipid- and water-repellent characteristics, PFOS and PFOA are used as surface-active agents in various high-temperature applicatio ...

    SBIR Phase I 2018 Environmental Protection Agency
  5. Development of Innovative Broad-Spectrum Analysis Methods for PFAS

    SBC: SEACOAST SCIENCE, INC.            Topic: 17NCER3A

    This SBIR addresses EPA’s need for improved sampling and analysis technologies to detect Per- and Polyfluoroalkyl Substances (PFAS). PFAS are used in firefighting sprays, at airports, and for wild fires, and have been used in textile treatments (e.g., it is a component in Scotchgard). It is estimated that 65 million Americans are at risk of PFAS exposure in their drinking water. Seacoast propose ...

    SBIR Phase I 2018 Environmental Protection Agency
  6. Greener Plastics with High Heat Tolerance for Additive Manufacturing

    SBC: INTELLIGENT OPTICAL SYSTEMS, INC.            Topic: 17NCER5B

    Advances in materials and automation are rapidly reshaping the American manufacturing economy. These advances must be embraced to sustain a strong manufacturing sector in the United States. Additive manufacturing is possibly the fastest growing example of this trend, growing at an astonishing compound annual growth rate of 25.7%. The plastic materials market for additive manufacturing, valued at $ ...

    SBIR Phase I 2018 Environmental Protection Agency
  7. Novel Circulating RNA-based Markers as Diagnostic Biomarkers of Infectious Diseases

    SBC: CFD RESEARCH CORPORATION            Topic: CBD18A001

    In resource limited settings, rapid and accurate diagnosis of infections is critical for managing potential exposures to highly virulent pathogens,whether occurring from an act of bioterrorism or a natural event. This is especially important for hard to detect intracellular bacterial andalphavirus infections, that overlap symptomatically and often treated empirically due to a lack of reliable and ...

    STTR Phase I 2018 Department of DefenseOffice for Chemical and Biological Defense
  8. Marburg Virus Prophylactic Medical Countermeasure

    SBC: MAPP BIOPHARMACEUTICAL, INC.            Topic: CBD18A002

    There are currently no vaccines or therapeutics available for Marburg Virus Disease (MVD). Given the specter of weaponization and the terriblemorbidity and high mortality rate of MVD, this represents a critical threat to the operational readiness of the Warfighter. While traditionalvaccines have proven to be a huge contribution to public health, they do have some limitations especially in the cont ...

    STTR Phase I 2018 Department of DefenseOffice for Chemical and Biological Defense
  9. Marburg Virus Prophylactic Medical Countermeasure

    SBC: Flow Pharma, Inc.            Topic: CBD18A002

    Flow Pharma, Inc. is a biotechnology company in the San Francisco Bay Area developing fully synthetic cytotoxic T lymphocyte (CTL)stimulating peptide vaccines for Marburg virus. The FlowVax vaccine platform allows us to create dry powder formulations of biodegradablemicrospheres and TLR adjuvants incorporating class I and class II T cell epitopes. FlowVax vaccines can be designed for delivery by i ...

    STTR Phase I 2018 Department of DefenseOffice for Chemical and Biological Defense
  10. Hybrid DNN-based Transfer Learning and CNN-based Supervised Learning for Object Recognition in Multi-modal Infrared Imagery

    SBC: TOYON RESEARCH CORPORATION            Topic: 1

    On this effort Toyon Research Corp. and The Pennsylvania State University are developing deep learning-based algorithms for object recognition and new class discovery in look-down infrared (IR) imagery. Our approach involves the development of a hybrid classifier that exploits both transfer learning and semi-supervised paradigms in order to maintain good generalization accuracy, especially when li ...

    STTR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
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