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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. Testing of COTS Systems in Space Radiation Environments

    SBC: STREAMLINE AUTOMATION LLC            Topic: T6

    For long duration space missions beyond LEO there is a wealth of COTS hardware that could potentially be implemented for non-critical tasks within heavily shielded spacecraft cabins. To employ COTS systems for such missions, we propose to use a simulation/experimental/statistical approach for risk acceptance Radiation Hardness Assurance (RHA) suitable for Cis-Lunar and Cis-Mars missions. The simul ...

    STTR Phase I 2020 National Aeronautics and Space Administration
  2. Chemical-based Nitric Oxide Gas-generating Drug Device for the Treatment of Pulmonary Hypertension

    SBC: Technology Commercialization Partners LLC            Topic: NHLBI

    ABSTRACT Pulmonary hypertension (PH) is a highly debilitating disease that affects about 1% of the global population, which increases up to 10% in individuals aged more than 65 years. The life expectancy for these patients is less than 10 years after diagnosis, and no specific drugs are available for pharmacologic treatment. Despite the introduction PDE5, prostacyclin analogs, and endothelin antag ...

    STTR Phase I 2020 Department of Health and Human ServicesNational Institutes of Health
  3. PARTEL: Periscope video Analysis using Reinforcement and TransfEr Learning

    SBC: MAYACHITRA, INC.            Topic: N20AT007

    We propose a suite of video processing algorithms utilizing the machine learning (ML) techniques of artificial intelligence (AI) reinforcement learning, deep learning, and transfer learning to process submarine imagery obtained by means of periscope cameras. Machine learning (ML) can help in addressing the challenge of human failure of assessing the data of periscope imagery. Though pre-tuned blac ...

    STTR Phase I 2020 Department of DefenseNavy
  4. Machine Learning for Transfer Learning for Periscopes

    SBC: ARETE ASSOCIATES            Topic: N20AT007

    Areté and the Machine Learning for Artificial Intelligence (MLAI) Lab at the University of Arizona (UofA) will develop and demonstrate new approaches that improve the performance of in situ machine learning (ML) algorithms as they evolve over time, adapt to new environments, and are capable of transferring their learned experiences across platforms.  Technological advances that will be brought t ...

    STTR Phase I 2020 Department of DefenseNavy
  5. On-Demand Single-Photon Sources for Correlated Calibration of Single Photon Detectors

    SBC: NANOHMICS INC            Topic: T8

    To support ultrasensitive detection and measurement in NASA aerospace applications, the development of quantum sensing and measurement (QSM) plays the key role, which involves a wide range of technologies and instruments whose performance is not constrained by the boundaries of classical physics. Single-photon counting has become one of the core techniques in remote sensing, measurement, and optic ...

    STTR Phase I 2020 National Aeronautics and Space Administration
  6. Advanced Design Tools for Electrosail Propulsion Systems

    SBC: PARTICLE MATTERS, INC            Topic: T2

    The goal of this project is to develop a medium-fidelity, engineering level computational tool that will provide NASA researchers with an efficient instrument for testing, optimizing, and finalizing the E-Sail configuration, and further assist in the navigation and control design. The core of the tool is a computationally efficient parallel 3Dnbsp;Particle-In-Cell (PIC)nbsp;code. The relatively sl ...

    STTR Phase I 2020 National Aeronautics and Space Administration
  7. STTR Phase I: Innovative Modular Transfer Head

    SBC: LuxNour Technologies Inc.            Topic: M

    The broader impact/commercial potential of this Small Business Technology Transfer (STTR) Phase I project is to enable broad use of inorganic micro light emitting diode (microLEDs) in displays through a new manufacturing process. MicroLEDs are used for ultra-high resolution vivid displays for many consumer electronics applications ranging from hand-held devices to large area displays, but they req ...

    STTR Phase I 2020 National Science Foundation
  8. STTR Phase I: Advanced Reaction Control System (RCS) for CubeSat and Microsatellite Platforms

    SBC: Maverick Space Systems, Inc.            Topic: SP

    The broader impact/commercial potential of this Small Business Technology Transfer (STTR) Phase I project is to open new orbital flight regimes to CubeSat and microsatellite vehicles. Vehicles of these size classes are currently constrained by the lack of suitable propulsion options or additional regulatory burdens that most propulsion systems levy on rideshare vehicles. Most small satellites in L ...

    STTR Phase I 2020 National Science Foundation
  9. STTR Phase I: Rapid Acting Disinfectant Spray for Slowing the Spread of COVID-19

    SBC: Kismet Technologies LLC            Topic: CT

    The broader impact/commercial potential of this Small Business Technology Transfer (STTR) project is development of a disinfectant spray to curb the transmission of SARS-CoV-2 via contact with contaminated surfaces. COVID-19 transmission occurs primarily via respiratory droplets produced by an infected person and by contact with a surface where a droplet containing the virus exists. Mitigating inf ...

    STTR Phase I 2020 National Science Foundation
  10. STTR Phase I: AI-assisted Assessment, Tracking, and Reporting of COVID-19 Severity on Chest CT

    SBC: AI METRICS, LLC            Topic: DH

    The broader impact /commercial potential of this Small Business Technology Transfer (STTR) Phase I project is to leverage artificial intelligence (AI) to reduce errors and improve accuracy, standardization, agreement, and reporting in evaluation of COVID-19 lung disease severity on chest computed tomography (CT) images. Chest CT procedures play a critical role in COVID-19 patients but current meth ...

    STTR Phase I 2020 National Science Foundation
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