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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. Provably Unclonable Functions on Re-configurable Devices

    SBC: Potomac Research LLC            Topic: A18BT001

    Physically UnclonableFunctions (PUFs) have been proposed as central building blocks in cryptographic protocols and security architectures. PUFs are physical devices that exhibit a challenge/responsebehavior: when presented with a challenge, the device produces a response that is a random function of both the challenge and the physical properties of the device.In contrast to most digital designs, i ...

    STTR Phase I 2018 Department of DefenseArmy
  2. 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
  3. Virus-Like Particle Based pan-Marburgvirus Vaccine

    SBC: LUNA INNOVATIONS INCORPORATED            Topic: CBD18A002

    Marburg virus (MARV) is a filamentous enveloped non-segmented negative sense RNA virus. This viruse is considered to be extremelydangerous with case fatality rates as high as 88-90%. Extensive efforts have gone towards effective vaccines for MARV prevention, however,none have been successfully established as licensed vaccines. Glycoprotein (GP) is the only surface protein of MARV. There are substa ...

    STTR Phase I 2018 Department of DefenseOffice for Chemical and Biological Defense
  4. 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
  5. 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
  6. Algorithms for Look-down Infrared Target Exploitation

    SBC: SIGNATURE RESEARCH, INC.            Topic: 1

    Signature Research, Inc. (SGR) and Michigan Technological University (MTU) propose a Phase I STTR effort to develop a learning algorithm which exploits the spatio-spectral characteristics inherent within IR imagery and motion imagery.Our archive of modelled and labeled data sets will allow our team to thoroughly capture the variable elements that will drive machine learning performance.The overall ...

    STTR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
  7. Robotic Standoff Neck and Spinal Injury Assessment Device

    SBC: AMERICAN GNC CORPORATION            Topic: A08T034

    Our long-term objective of this project is to develop an integrated system that is capable of categorizing and managing injured combatants in the field of combat trauma care. In this STTR, however, we focus on developing suitable imaging systems that can triage the combatants who are salvageable, assess their immediate potential head and spine injury and determine those with unstable spine injuri ...

    STTR Phase I 2008 Department of DefenseArmy
  8. Aerosol Decontaminant for Use in Patient Care Areas

    SBC: BIOSTAR WEST            Topic: A08T032

    This Phase I STTR project will develop an innovative aerosol-based decontamination product effective against common nosocomial organisms. Nosocomial transmission of multi-drug-resistant microorganisms is an increasing concern at military and civilian healthcare facilities. The proposed project focuses on the development of an easily dispersed, nontoxic product capable of providing the rapid decont ...

    STTR Phase I 2008 Department of DefenseArmy
  9. Development of a Soldier Battlespace Auditory Analyzer System

    SBC: BRUSH MOUNTAIN TECHNOLOGIES, INC.            Topic: A08T019

    The objective of this project is to develop a man wearable auditory analyzer system that can improve the situational awareness, listening capability and communication of a soldier operating in an urban environment. This will be developed through three main technologies: 1. A data collection system consisting of a microphone array embedded on a soldier. Array characterization and diffraction compen ...

    STTR Phase I 2008 Department of DefenseArmy
  10. Advanced Point Sensor

    SBC: DBC Technology Corp.            Topic: A08T024

    The enhanced capability point bio and chem sensor is based respectively on the recently discovered phenomenology of biological aerosol differential backscatter in the long wave infrared proven in field trials with a standoff sensor and on differential absorption. The novel point sensor will use compact, wavelength agile transmitters, including quantum cascade lasers and/or miniature CO2 lasers ope ...

    STTR Phase I 2008 Department of DefenseArmy
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