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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. Chip-Scale Photonics for Wide Temperature and High-Speed Optical Interconnects

    SBC: ULTRA COMMUNICATIONS, INC.            Topic: A12aT008

    This program will create 40 Gbps VCSEL-based micro-transceiver (uTRX) components that operate reliably over the standard military temperature range of -55°C to 125°C in Army environments. uTRXs are low-cost, compact components that can be assembled into the PCB in close proximity to high-performance ASICs using conventional solder-reflow"pick-and-place"assembly. The small PCB footprint and sol ...

    STTR Phase I 2013 Department of DefenseArmy
  8. SEmantic Context Aware Network Tools (SECANT)

    SBC: DECISIVE ANALYTICS CORPORATION            Topic: A12aT009

    Social network analysis has become one of the most powerful analytic tools in both private and government sectors and a key source of information on individuals and groups. Recently, social media arose as an important source for social network data in both sectors. Unfortunately, theoretically motivated approaches to social network analysis have not been able to keep pace with the new informationa ...

    STTR Phase I 2013 Department of DefenseArmy
  9. Preserving Navigation Access for the War Fighter Development of an Acoustic Marine Life Watch System to Support Corps Channel Maintenance and Enhanc

    SBC: Tenera Environmental            Topic: A12aT025

    The goal of the Phase I project is to develop a COTS system into a modular unit for detection, tracking and classification of large marine organisms such as manatees and turtles. The Kongsberg Mesotech M3 Sonar is a 500 kHz multibeam that can resolve objects as far as 150 m. This compact system has been tested to detect Florida manatees by Dr. Kevin Boswell and will be used by well qualified marin ...

    STTR Phase I 2013 Department of DefenseArmy
  10. Nonlinear Laser Wave Mixing for Trace Detection of Explosives

    SBC: Audentia, Inc.            Topic: A12aT016

    Audentia, Inc., proposes to develop and demonstrate a sensitive nonlinear laser wave mixing-based detector that offers standoff detection of explosive chemicals in their native states at ambient temperature and pressure using a compact rugged solid-state laser-based design. The wave-mixing signal is a coherent laser-like beam, and hence, it offers a standoff detection distance that is longer than ...

    STTR Phase I 2013 Department of DefenseArmy
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