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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. Embedded Self-repairing Antenna Composite (ESAC)

    SBC: NEXTGEN AERONAUTICS, INC.            Topic: A13AT012

    The goal of the proposed research is to develop self-healing embedded communication antennas to be used in transparent armori.e., ground vehicle windows. Embedded antennas are known to delaminate from their host structures after impact; this allows an empty space to form around the antenna and as a result detunes the antenna. A sandwich structure will be designed, fabricated, and tested whereby th ...

    STTR Phase I 2014 Department of DefenseArmy
  8. In-Flight Laser Sensor for Measurement of Acoustic Self-Radiation

    SBC: Phase Coherence, Inc.            Topic: A14AT001

    We propose a system that utilizes an on-board laser to measure the acoustic radiation emitted by an air platform. Its immediate advantages are access to in/above-horizon acoustic radiation, good discrimination against ground reflections, high signal compared to background noise, and, at the same time, precise synchronization with helicopter operating state and rotor blade position.The technique is ...

    STTR Phase I 2014 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. Phase 1 effort will focus on (1) overall feasibility study of integrating PCSS with a miniature laser diode array, (2) tradeoff analysis between several options, which will result in choo ...

    STTR Phase I 2014 Department of DefenseArmy
  10. High Gain, High Power PCSS with Integrated Monolithic Optical Trigger

    SBC: NESS ENGINEERING, INC.            Topic: A14AT004

    The objective of this proposal is to examine the feasibility of a design for a Photoconductive Semiconductor Switch (PCSS) with an integrated optical trigger that can switch at least 30 kV, 1 kA, 20 ns pulses with jitter108 shots. Ness Engineering, Inc. (NEI) and Texas Tech University ...

    STTR Phase I 2014 Department of DefenseArmy
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