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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. Multivariate Impedance Spectroscopy Sensor Based on 3D Graphene

    SBC: LYTEN, INC.            Topic: DHS211010

    Standard explosive detection technologies for checked baggage heavily rely on an x-ray imaging system that detects bulk materials based on their atomic number and density.Although this approach works well for identifying commercial and military explosives, improvised explosives are more difficult to detect due to high variations in their chemical composition and purity.Adjusting the detector param ...

    SBIR Phase I 2021 Department of Homeland Security
  2. System for Collective Protection of Vehicle Occupants from Transmission of Infectious Diseases

    SBC: MAGPLASMA INC            Topic: DHS211004

    MagPlasma proposes to develop a single pass system that will collect and remove infectious particles exhaled by vehicle passengers before their concentration can reach an infectious dose level in confined spaces. Our system will capture single or multiple passengers' breathing zone air; continuously filter an actively purify the air stream to reduce contagion loading; and exhaust the treated efflu ...

    SBIR Phase I 2021 Department of Homeland Security
  3. DESIGN OF SMART MICRO-FLARE FLEET TO MITIGATE DISTRIBUTED METHANE EMISSIONS

    SBC: Frost Methane Labs Co.            Topic: T

    Methane emissions are responsible for 20% of greenhouse gas warming. A proven, economical way of mitigating these emissions is to find high-flow methane sources and convert the methane stream into carbon dioxide, using flares or generators, mitigating 96% of the warming effects. We propose to develop a miniature methane flare, capable of handling emissions from sources in the range of 10-200 tonne ...

    SBIR Phase I 2021 Department of EnergyARPA-E
  4. Integration of Ultrahigh Capacity Sorbents into Direct Air Capture Systems

    SBC: MOSAIC MATERIALS, INC.            Topic: T

    Addressing climate change from greenhouse gas emissions to prevent continued global warming will be done with a suite of technologies. Direct air capture (DAC) of carbon dioxide (CO2) is receiving significant attention as a way to reverse these emissions, however, it is a relatively new technology that will require continued technology development for viable cost targets to be realized. DAC is sig ...

    SBIR Phase I 2021 Department of EnergyARPA-E
  5. Non-Equilibrium Plasma for Energy-Efficient Nitrogen Fixation

    SBC: NITRICITY INC.            Topic: T

    Nitricity is developing a technology that produces nitrogen fertilizer using inputs of air, water, and renewable electricity. If successful, this technology has the potential to economically decarbonize fertilizer production from the Haber-Bosch process, which is a $68B global market and gigaton CO2eq/yr mitigation opportunity. Our team has developed a plasma-based process that couples with on-far ...

    SBIR Phase I 2021 Department of EnergyARPA-E
  6. Engineering of Scalable Platinum-free Electrodes for Pure-Water AEM Water Electrolysis

    SBC: EVOLOH, INC.            Topic: T

    Producing green hydrogen using renewable energy can reduce emissions for major domestic industrial sectors which use hydrogen as a feedstock like ammonia fertilizer, refineries, chemicals and steel. Additionally, green hydrogen can be used to reduce dependencies on foreign energy sources as a transportation fuel for heavy-duty vehicles, a long-duration energy storage medium, or as a natural gas re ...

    SBIR Phase I 2021 Department of EnergyARPA-E
  7. Increasing Carbon Drawdown and Retention in Terrestrial Biomass using Bioengineered Trees

    SBC: Living Carbon PBC            Topic: T

    Carbon drawdown and retention in terrestrial biomass is currently limited by the rate of photosynthetic assimilation and of decay of lignocellulosic biomass respectively. Living Carbon is developing innovative methods of reducing the susceptibility of vegetative biomass to decay by lignotrophic fungi, thereby reducing the rate of release of carbon dioxide back to the atmosphere through fungal resp ...

    SBIR Phase I 2021 Department of EnergyARPA-E
  8. A transformative low cost approach for Direct Air Mineralization of CO2 via repeated cycles of ambient weathering of metal oxides

    SBC: EQUIOPPS, INC            Topic: T

    Increasing concentration of CO 2 in the atmosphere poses a threat to the global climate. One promising method for reducing atmospheric CO 2 is a repeated enhanced weathering process. Enhanced weathering is a process where a natural reaction between CO 2 gas and minerals rich in magnesium and/or calcium is accelerated to quickly form a solid carbonate. The cycle can be repeated by separating the CO ...

    SBIR Phase I 2021 Department of EnergyARPA-E
  9. Airborne Risk Identification Enabled by Raman and Luminescence (ARIEL)

    SBC: PHOTON SYSTEMS, INC            Topic: DHS211011

    This proposal addresses the need for detection of multiple biological threats in a manner that mitigates the current challenges with short analysis times without environmental interferences. This proposal will lead to a near-real-time in-situ reagentless portable sensor that enables detection and identification of multiple biological threats using deep UV laser induced native fluorescence/Raman sp ...

    SBIR Phase I 2021 Department of Homeland SecurityCountering Weapons of Mass Destruction
  10. Algorithm Performance Evaluation with Low Sample Size

    SBC: SIGNATURE RESEARCH, INC.            Topic: NGA20C001

    The team of Signature Research, Inc. and Michigan Technological University will develop and demonstrate methods and metrics to evaluate the performance of machine learning-based computer vision algorithms with low numbers of samples of labeled EO imagery. We will use the existing xView panchromatic dataset to demonstrate a proof-of-concept set of tools. If successful, in Phase II, we will extend t ...

    STTR Phase I 2021 Department of DefenseNational Geospatial-Intelligence Agency
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