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The Award database is continually updated throughout the year. As a result, data for FY21 is not expected to be complete until September, 2022.

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.

  1. Ada Phase I

    SBC: SOAR TECHNOLOGY, INC.            Topic: T11

    Soar Technology, Inc. (SoarTech) and Georgia Tech Research Institute (GTRI) will research and develop a digital assistant (quot;Adaquot;) that can help NASA experts search for and effectively use scientific and technical information (STI) in their work. Ada can provide cognitive support in high-effort search tasks, like examining details of more sources, and use tasks, like applying search results ...

    STTR Phase I 2020 National Aeronautics and Space Administration
  2. 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
  3. An End-To-End Microfluidic Platform for Engineering Life Supporting Microbes in Space Exploration Missions

    SBC: HJ Science & Technology, Inc.            Topic: T601

    HJ Science & Technology proposes a programmable, low-cost, and compact microfluidic platform capable of running automated end-to-end processes and optimization of cellular engineering and synthetic biology applications. In collaboration with Lawrence Berkeley National Laboratory and the Joint Genome Institute, we will establish the feasibility of the proposed microfluidic automation technology by ...

    STTR Phase I 2014 National Aeronautics and Space Administration
  4. Autonomous Environmental Monitoring and Management Platform for Remote Habitats

    SBC: SPEC Sensors, LLC            Topic: T4

    An automated mobile air quality (AQ) sensor array will provide high quality environmental data within the confined physical parameters of a space habitat. Project results, including generated data, will be used to develop algorithms for artificial intelligence (AI) which will ultimately automate monitoring of experiments as well as life support systems on the International Space Station (ISS), the ...

    STTR Phase I 2020 National Aeronautics and Space Administration
  5. Autonomous Payload Operations on the Lunar Gateway

    SBC: Stottler Henke Associates, Inc.            Topic: T4

    In response to NASA STTR topic T4.04, subtopic 1 - Autonomous operations and tending of science payloads, Stottler Henke proposes to developnbsp;Autonomous Payload Operations for Gateway ExperimEnts (APOGEE),an operational concept, system architecture, and integrated set of software components for enabling autonomous payload operations on the Lunar Gateway. APOGEE will automate short-term planning ...

    STTR Phase I 2020 National Aeronautics and Space Administration
  6. Bio-Inspired Autonomous Communications Systems with Anomaly Detection Monitoring

    SBC: EpiSys Science, Inc.            Topic: T501

    We propose to develop and demonstrate BioComm, a bio-inspired autonomous communications system (ACS) aimed at dynamically reconfiguring and redeploying autonomous communication assets in accordance with both mission objectives and communication demands simultaneously. BioComm is embedded with ADaM (Anomaly Detection and Monitorin) capability, which enables human supervisors or operators to exploit ...

    STTR Phase I 2014 National Aeronautics and Space Administration
  7. Bounding generalization risk for Deep Neural Networks

    SBC: Euler Scientific            Topic: NGA20A001

    Deep Neural Networks have become ubiquitous in the modern analysis of voluminous datasets with geometric symmetries. In the field of Particle Physics, experiments such as DUNE require the detection of particle signatures interacting within the detector, with analyses of over a billion 3D event images per channel each year; with typical setups containing over 150,000 different channels.  In an ...

    STTR Phase I 2020 Department of DefenseNational Geospatial-Intelligence Agency
  8. Compact Isotope Analysis System for In-Situ Biosignature Investigation

    SBC: Opto-knowledge Systems, Inc.            Topic: T801

    We propose to develop a sensor for in-situ stable isotope analysis from a lander/rover on future planetary missions. The system will enable the collection of valuable information applicable to biosignature investigations, i.e., the search for evidence of life within the solar system. Current limitations to in-situ isotope measurements will be overcome by utilizing a hollow fiber optic based IR s ...

    STTR Phase I 2014 National Aeronautics and Space Administration
  9. Data-Driven Modeling of Directed Energy Deposition (DED) for Defect-Free Builds using Real-Time Monitoring Approaches

    SBC: FORMALLOY TECHNOLOGIES, INC            Topic: T12

    Additive Manufacturing (AM) will play a large role in the development for NASArsquo;s next generation of space flight systems. However, without a deeper understanding of various additive processes available, it is difficult to use the technologies reliably. In order to predict the results for dimensional accuracy, microstructure formation, and defect initiation points, FormAlloy and New Mexico Sta ...

    STTR Phase I 2020 National Aeronautics and Space Administration
  10. 3D Geolocation of Current Pulses in Clouds Using a 6-Axis EB Vector Sensor

    SBC: QUASAR FEDERAL SYSTEMS, INC.            Topic: T802

    Lightning discharges within or near critical facilities can disrupt activities or result in damage. Although existing lightning locating systems can geolocate breakdown processes with accuracies of 10s of meters at heights above 1.5-2 km, they do not accurately report ground strike locations or provide estimates of current and charge transfer. In addition, conventional VLF/LF LLS networks do not c ...

    STTR Phase I 2014 National Aeronautics and Space Administration
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