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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. IN-PASS: Intelligent Navigation, Planning, and Autonomy for Swarm Systems

    SBC: ORBIT LOGIC INCORPORATED            Topic: T4

    Orbit Logic is teamed with the University of Colorado at Boulder to develop Intelligent Navigation, Planning, and Autonomy for Swarm Systems (IN-PASS). The proposed technology builds on proven software ndash; to enable flexible composition of collaborative mission concepts assessed in an open simulation environment. The focus of IN-PASS is rover autonomous navigation ndash; specifically developmen ...

    STTR Phase I 2020 National Aeronautics and Space Administration
  2. Cooperative Control and Localization of Multiple Spacecraft using a Multi-Agent Mission Operations System

    SBC: INTERSTEL TECHNOLOGIES INC            Topic: T4

    Multi-satellite swarms are becoming popular due to their low costs and short development time. Instead of large and costly monolithic satellites, small satellite swarms can be flown as distributed sensing applications for atmospheric sampling, distributed antennas, synthetic apertures among other exciting applications, delivering an even greater mission capability. This Phase-I project contributes ...

    STTR Phase I 2020 National Aeronautics and Space Administration
  3. High Capacity Sorbents for Removal of Problematic Contaminants from Processed Wastewater

    SBC: TDA RESEARCH, INC.            Topic: T6

    Water recovery from wastewater sources is a key to long duration human exploration missions.nbsp; Regenerative systems are utilized on the International Space Station (ISS) to recycle water from humidity condensate and urine. However, two organic compounds, dimethylsilanediol (DMSD) and dimethyl sulfone (DMSO2), are problematic to water processor assembly (WPA) in the ISS. DMSD is a silicon-contai ...

    STTR Phase I 2020 National Aeronautics and Space Administration
  4. Autonomous In-space Assembly of Modular Structures

    SBC: ALTIUS SPACE MACHINES, INC.            Topic: T4

    The ESCHER interface is part of a larger concept working to enable swarms of robots to autonomously perform difficult construction tasks while minimizing the cost and complexity of doing so. The interface, designed by Altius for use on Virginia Tech#39;s FASER Lab robots, will leverage existing switchable electropermanent magnetnbsp;(EPM) technology and Altius custom geometries to provide a high h ...

    STTR Phase I 2020 National Aeronautics and Space Administration
  5. Compact Ethylene Monitor for NASA Space Missions

    SBC: ADELPHI TECHNOLOGY INC            Topic: T6

    Human missions to the Moon and Marsnbsp;will require advanced systems to maintain an environment supporting human life. Smart greenhouses are necessary for fresh food supply in long term space missions. Through natural metabolic processes, plants can produce ethylene, which can accumulate in closed environments and have undesirable effects on the plants. These effects can include reduced growth, i ...

    STTR Phase I 2020 National Aeronautics and Space Administration
  6. 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
  7. Marburg Virus Prophylactic Medical Countermeasure

    SBC: Flow Pharma, Inc.            Topic: CBD18A002

    Through this STTR contract, we propose to evaluate the efficacy of our vaccine, FlowVax Marburg, in nonhuman primates (NHPs). This will be achieved through four Tasks. In Task 1, we will manufacture the vaccine in a quantity sufficient for the animal studies. In Task 2, we will perform MHC genotyping on a representative population of NHPs and, based on results, select a set of MHC-matched NHPs for ...

    STTR Phase II 2020 Department of DefenseOffice for Chemical and Biological Defense
  8. 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 terrible morbidity and high mortality rate of MVD, this represents a critical threat to the operational readiness of the Warfighter. While traditional vaccines have contributed greatly to public health, they have some limitations especially in the context of operati ...

    STTR Phase II 2020 Department of DefenseOffice for Chemical and Biological Defense
  9. MarsOasis- An Efficient Autonomously Controlled Martian Crop Production System

    SBC: SPACE LAB TECHNOLOGIES, LLC            Topic: T7

    The MarsOasistrade; cultivation system is a versatile, autonomous, environmentally controlled growth chamber for food provision on the Martian surface.nbsp; MarsOasistrade; integrates a wealth of prior research and Mars growth chamber concepts into a complete system design and operational prototype.nbsp; MarsOasistrade; includes several innovative features relative to the state of the art space gr ...

    STTR Phase II 2020 National Aeronautics and Space Administration
  10. Highly Integrateable AI Modules for Planning, Scheduling, Characterization, and Diagnosis

    SBC: STOTTLER HENKE ASSOCIATES, INC            Topic: T3

    We will extend our previous work to create artificial intelligence (AI) Reasoning Modules for planning, scheduling, characterization, machine learning, and fault detection/diagnosis/reconfiguration for spacecraft and their subsystems, each able to operate in standalone fashion or be easily integrated with one another to execute in a variety of computational environments, including in highly distri ...

    STTR Phase II 2020 National Aeronautics and Space Administration
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