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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. 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
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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
  7. Atomic Layer Deposition of Highly Conductive Metals

    SBC: RADIATION MONITORING DEVICES, INC.            Topic: A17AT001

    Novel photonic structures, such as periodic metal-dielectric photonic bandgap structures (MDPBG) have the potential to revolutionize the field of optical windows. The large mismatch in the permittivities of the metal and dielectric creates resonant tunneling, which allows for high transmission in regions where metals are typically opaque. This property makes MDPBGs very attractive for screening or ...

    STTR Phase I 2017 Department of DefenseArmy
  8. Heterogeneously Integrated Active Laser Sensing Platform on Si

    SBC: PHYSICAL SCIENCES INC.            Topic: A17AT005

    We propose to develop highly-sensitive low size, weight, and power (SWaP) chip-scale mid-infrared integrated-optic sensors for trace gas measurements, We will combine Tunable Diode Laser Spectroscopy (TDLAS) detection techniques with narrow-linewidth fast-tuning Distributed Feedback (DFB) Quantum Cascade and Interband Cascade Lasers (QCLs and ICLs) to create a platform for a family of sensors, ea ...

    STTR Phase I 2017 Department of DefenseArmy
  9. Tunable Active HEterodyne Terahertz Imager (TAHETI)

    SBC: LONGWAVE PHOTONICS LLC            Topic: A17AT007

    LongWave Photonics, Massachusetts Institute of Technology and Virginia Diodes are proposing the use of the Terahertz Quantum-Cascade Lasers (QCL) combined with a Schottky diode detector for high dynamic range heterodyne imaging. Two single-mode, distributed feedback (DFB) QCLs with milliwatt power levels will be used as local oscillator and illumination for imaging. The QCLs will be downconverte ...

    STTR Phase I 2017 Department of DefenseArmy
  10. 3D Tomographic Scanning Microwave Microscopy with Nanometer Resolution

    SBC: Alcatera Inc.            Topic: A17AT008

    Near-Field Scanning Microwave Microscopy (SMM) is a technique relying on a raster scan of a microwave probe across a sample surface, while measuring its reflected microwave signal. The existing technologies are limited to the surface analysis, and are not compatible with liquid environment. These limitations are addressed by the proposed wideband 3D tomography SMM with sub-surface analysis capabil ...

    STTR Phase I 2017 Department of DefenseArmy
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