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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. High Energy Density Batteries

    SBC: WASATCH IONICS LLC            Topic: SOCOM232003

    Soldiers conducting missions on foot in remote locations must carry multiple battery powered electronic devices, such as multiband radio sets, night vision goggles and scopes, GPS tracking, thermal imagers, target designators, etc. These devices allow soldiers to target, move, and communicate in the modern battlefield. Depending upon the type of mission and its duration, soldiers might not have th ...

    SBIR Phase I 2023 Department of DefenseSpecial Operations Command
  2. High Energy Density Batteries

    SBC: SkyVision Sciences, LLC            Topic: SOCOM232003

    The military is interested in new high density handheld radio batteries to meet evolving radio systems that require additional power. In particular, it is desired to produce a battery that has a capacity greater than 500 W-hr/kg delivering 12 volts and 16 amp-hours in a package weighing less than 0.84 pounds. This battery shall also maintain greater than 70% of its nominal capacity after 300 full ...

    SBIR Phase I 2023 Department of DefenseSpecial Operations Command
  3. High Energy Density Batteries

    SBC: TDA RESEARCH, INC.            Topic: SOCOM232003

    To increase the energy capacity, reduce the weight, improve the cyclic lifetime, and shorten the recharging time for batteries for use in future handheld radio applications, we need advanced energy storage technologies that perform better than current Li-ion batteries. TDA proposes to develop batteries based on Lithium-ion/Sulfur (Li-S) battery chemistry. To increase the energy density, rate capab ...

    SBIR Phase I 2023 Department of DefenseSpecial Operations Command
  4. CO2 Scrubber Material

    SBC: SKYHAVEN SYSTEMS, LLC            Topic: SOCOM222003

    The military is interested in new CO2 scrubber materials for diving closed-circuit rebreathers. In particular, it is desired to replace the existing cartridges of soda lime with a new material enabling it to be regenerated for subsequent diving operations without having to repack the unit. Toward this need, Skyhaven proposes to incorporate a new class of adsorbent materials along with a thermally ...

    SBIR Phase I 2022 Department of DefenseSpecial Operations Command
  5. Auto-Label SAR (AL-SAR)

    SBC: ICR, INC.            Topic: OSD221002

    Correctly labeled data is essential for training AI/ML-based automatic target recognition (ATR). The training process is all the more complicated in synthetic aperture radar (SAR) images because of their unique phenomenology, such as orientation-sensitive target signatures, layover, cross-range smearing, and radio frequency interference. New automated technology must reduce the cost and acc ...

    SBIR Phase I 2022 Department of DefenseNational Geospatial-Intelligence Agency
  6. Solid State High Energy Density Batteries

    SBC: BHAWIN LLC            Topic: SOCOM222001

    In Phase I project, Bhawin LLC aims to develop the current concept of solid-state Li-ion battery fabricating a single continuous phase for the anode, electrolyte, and cathode, and thus, eliminating the highly resistive interfaces between the electrolyte and electrodes found in straight solid-state Li-ion batteries. Advanced Li-ion battery technology will play a critical role in the understanding o ...

    SBIR Phase I 2022 Department of DefenseSpecial Operations Command
  7. Scene Geometry Aided Automatic Target Recognition (ATR) for Radar

    SBC: Stratagem Group, Inc., The            Topic: OSD221001

    Reducing the false alarm rate (FAR) of Automated Target Recognition (ATR) algorithms is crucial for intelligence, surveillance, reconnaissance (ISR) and precision target engagement missions. There are many contributing factors that result in higher FAR for deep learning (DL) ATR networks operating on Synthetic Aperture Radar (SAR) imagery, including: image distortions, unrepresentative target sign ...

    SBIR Phase I 2022 Department of DefenseNational Geospatial-Intelligence Agency
  8. Concentrated Atropine Sulfate Formulations

    SBC: TDA RESEARCH, INC.            Topic: SOCOM213002

    Organophosphorus nerve agent attacks are an unfortunate reality of modern warfare. Currently, the standard of care is to use up to three sequential doses of the Antidote Treatment Nerve Agent Autoinjector (ATNAA, which contains atropine sulfate, and 2-pyridine aldoxime chloride (2-PAM)) and an anticonvulsant. For severe cases, this is followed by continued dosing of atropine to block muscarinic ef ...

    SBIR Phase I 2022 Department of DefenseSpecial Operations Command
  9. 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
  10. CREATIVE PERCEPTION: Grey Matters’ Semi-supervised detection remote sensing prototype algorithm suite

    SBC: GREY MATTERS DEFENSE SOLUTIONS, LLC            Topic: NGA201003

    The National Geospatial Intelligence Agency (NGA) requires a state-of-the-art model to quickly find and define new target sets within ever increasing datasets. Grey Matters’ CREATIVE PERCEPTION will provide the NGA with an advanced detection algorithm suite that can be easily upgraded to new target sets with a minimum amount of labeled training data. CREATIVE PERCEPTION, based on a complex sel ...

    SBIR Phase I 2021 Department of DefenseNational Geospatial-Intelligence Agency
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