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The Award database is continually updated throughout the year. As a result, data for FY20 is not expected to be complete until September, 2021.

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. Low Cost Feed Flexible Plastics Reuse (LCFFPR)

    SBC: Altex Technologies Corporation            Topic: K

    The growing challenge of plastic waste accumulation in the US, and throughout the world, requires an immediate and innovative solution. A solution that would help to mitigate the ever growing plastic waste problem, while utilizing the abundant latent energy in plastic waste to produce liquid fuel, would not only help the US with its plastics reuse capability, but would add to the $5 Billion oil ma ...

    SBIR Phase I 2020 Department of EnergyARPA-E
  2. DroN2O: A Drone-Based System for Measuring Nitrous Oxide Emissions from Agricultural Fields

    SBC: Michigan Aerospace Corporation            Topic: 1

    Michigan Aerospace Corporation proposes to develop an inexpensive system to sense nitrous oxide (N2O) emissions from agricultural fields using laser-based sensors mounted on drones. These sensors include an optical absorption cell, a wind sensor, and a camera for plant health and ground assessment. The measurements from these sensors will be combined and processed with artificial-intelligence-enab ...

    SBIR Phase I 2020 Department of EnergyARPA-E
  3. SOFCs for FLIGHT

    SBC: Precision Combustion, Inc.            Topic: 1

    PCI’s is proposing an advanced energy storage and power generator design for meeting aggressive specific-power and specific-energy targets required for all-electric propulsion of narrow-body commercial aircraft. Key drivers are an exceptionally power-dense solid oxide fuel cell operating with energy-dense carbon neutral liquid fuels and a hybridized system architecture that maximizes component e ...

    SBIR Phase I 2020 Department of EnergyARPA-E
  4. Learning traffic camera locations using vehicle re-identification

    SBC: Arete Associates            Topic: NGA201005

    In its effort to provide necessary intelligence and analysis, the National Geospatial-Intelligence Agency (NGA) utilizes extensive traffic camera systems. However, the large amount of data overwhelms both analysts and existing processing methods. In order to provide a better understanding and reduce the search space for common problems such as target tracking, it is necessary to extract the camera ...

    SBIR Phase I 2020 Department of DefenseNational Geospatial-Intelligence Agency
  5. 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
  6. Co-Generation of Low-Energy, CO2-Free Hydrogen and Ordinary Portland Cement from Ca-Rich Rocks

    SBC: Finke, Cody            Topic: G

    We are building a technology that produces low cost hydrogen while releasing low or no carbon dioxide emissions. Key to our affordable hydrogen is the co-generation of valuable co-products like: Sulfuric Acid or Cement. Our processes are lower emission, lower energy and lower cost than conventional production method. We validated a proof-of-concept in our lab in May 2019 and our objective is to de ...

    SBIR Phase I 2020 Department of EnergyARPA-E
  7. SeaSTAR: Selective Thalassic Ambulatory Retriever (STAR)

    SBC: Other Lab Inc.            Topic: G

    Growth, electrification, and increased installation of renewable energy is driving significant increases in worldwide demand for metals like manganese, nickel, copper, and cobalt. This increase in commodity prices and projected demand has driven interest in exploring new sources of minerals such as deep sea mining. The abyssal plain contains locations of concentrated deposits of polymetallic nodul ...

    SBIR Phase I 2020 Department of EnergyARPA-E
  8. Rechargeable carbon-oxygen battery: A new class of ultra low-cost, lightweight energy storage technology

    SBC: Noon Energy Inc.            Topic: G

    Noon Energy has developed a new class of battery technology that will cost-effectively turn intermittent solar and wind electricity into on-demand power. It uses ultra-low-cost storage media and can match the energy efficiency of lithium-ion technology. It stores energy by splitting CO2 into solid carbon and oxygen in a flow battery configuration, utilizing abundant materials and simple reaction c ...

    SBIR Phase I 2020 Department of EnergyARPA-E
  9. Space Division Multiplexing with Multi-Core Fiber for Energy Efficient Integrated Photonic Networking Technologies

    SBC: ULTRA-LOW LOSS TECHNOLOGIES LLC            Topic: G

    The trend for short-reach optical fiber communications, those used for data centers and HPC, has been to use simple and power-efficient approaches to scale bandwidth. Approaches include parallel single mode (ex. more fibers), multi-level modulation coupled with direct detection (ex. four-level pulse amplitude modulation or PAM-4), and wide channel spacing (i.e. coarse WDM or CWDM). Bandwidth and c ...

    SBIR Phase I 2020 Department of EnergyARPA-E
  10. A Multi-Branch Network for Automated VNIIRS Assessment of Motion Imagery

    SBC: TOYON RESEARCH CORPORATION            Topic: NGA191003

    Due to the lack of consistency in existing automated methods for assigning VNIIRS levels to motion imagery, and the overwhelming human resources required to manually assign levels, a new method of automated/semi-automated VNIIRS assessment is needed. In recent years, advancements in deep learning have provided solutions to previously intractable computer vision problems. In many cases, automated d ...

    SBIR Phase I 2019 Department of DefenseNational Geospatial-Intelligence Agency
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