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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. Grave to Cradle: Establishing a Domestic Capability to Recover & Recycle Critical Metals from Defense & Industrial Scrap

    SBC: 6K INC.            Topic: DLA183013

    There is constrained domestic availability of strategic metals, superalloys or titanium for example, unacceptably exposing the US military to dependency on foreign sources. A near-term solution is found in the nation’s boneyards, MRO facilities, and machine shops. End of life parts, machine shop scrap, or used powders, represent an untapped source of strategic metals that can provide the US mili ...

    SBIR Phase I 2019 Department of DefenseDefense Logistics Agency
  2. Logistically Robust, Long Life, High Power Rechargeable Battery

    SBC: CAMX Power LLC            Topic: DLA142001

    CAMX Power proposes to develop a high power, long life lithium-ion (Li-ion) 6T vehicle battery that can be completely de-energized for logistical transportation and storage purposes, giving it exceptional shelf life and making it intrinsically safe under conditions of relaxed environmental controls and with no or minimal state-of-health monitoring. This novel battery, based on CAMX Power’s propr ...

    SBIR Phase II 2019 Department of DefenseDefense Logistics Agency
  3. Augmented Reality (AR) within the Defense Logistics Agency (DLA)

    SBC: BOSTON ENGINEERING CORPORATION            Topic: DLA181001

    The Defense Logistics Agency (DLA) believes there may be advantages to using Augmented Reality (AR) technologies, including the associated benefits of Internet of Things (IoT) capabilities, for improving procurement, logistics and distribution processes in its operations today. Commercial businesses around the world are proving gains in reliability, repeatability, and reduced process costs in all ...

    SBIR Phase II 2019 Department of DefenseDefense Logistics Agency
  4. Aircraft Alternative Braking System for Reduced Cost of Sustainment

    SBC: AMERICAN MAGLEV TECHNOLOGY OF FLORIDA, INC.            Topic: DLA161002

    Since World War II, normal aircraft braking is achieved through a system of hydraulically activated carbon brakes located on the main wheels of the aircraft. These friction-based systems offer limited performance and reduced braking capabilities due to brake fade, overheating, thermal loading issues, and generally higher operational, maintenance, repair and overhaul costs over the life cycle of th ...

    SBIR Phase II 2019 Department of DefenseDefense Logistics Agency
  5. Photon Correlation Spectroscopy for Particle Counting and Sizing in Bulk Liquid

    SBC: OPTOWARES INC            Topic: DMEA182001

    There is a lack of in-situ, non-contact, non-destructive techniques to detect the presence of particulates contaminating bulk liquid samples in clean room environment during semiconductor processing.  Leveraging our extensive experience building optical sensor systems, we will design and build an innovative handheld particle counter using diffusive wave spectroscopy. Our handheld system can be u ...

    SBIR Phase I 2019 Department of DefenseDefense Microelectronics Activity
  6. Electro-optical Seeker

    SBC: CERANOVA CORP            Topic: OSD181002

    Execution of long-range weapons capabilities reduces risk and affords greater warfighter protection. Core enabling technologies for hypersonic projectiles include high-strength lightweight materials, precision avionics, and novel designs. System demands include the ability to withstand both high accelerations (up to 50,000 Gs) and aerothermal shock. Detailed structural engineering and shock modeli ...

    SBIR Phase I 2019 Department of DefenseOffice of the Secretary of Defense
  7. Low-Cost, Transmit-Only, Active Electronically Steered Array (AESA) with Phase-Only Nulling (1000-471)

    SBC: SI2 TECHNOLOGIES, INC            Topic: SCO182002

    SI2 proposes to leverage prior Government funded efforts to develop a transmit (TX) only, wideband (6:1 bandwidth), low-cost, scalable active electronically scanned array (AESA) that will utilize phase-only nulling to enable radar, Electronic Warfare / Electronic Attack (EW/EA), Information Operations (IO) and other capabilities on multiple platforms across DOD agencies. The array will employ digi ...

    SBIR Phase I 2019 Department of DefenseOffice of the Secretary of Defense
  8. Maritime/Systems & Technology Research

    SBC: Systems & Technology Research LLC            Topic: SCO182008

    Airborne radars operating over open water must classify maritime vessels by measuring and exploiting highly-variable radar signatures. Sources of signature variability include within-class ship construction and equipment differences, complex in-situ 6-DoF ship motion caused by ocean waves across a range of sea state conditions, acquisition geometry including grazing angle and maritime-specific RF ...

    SBIR Phase I 2019 Department of DefenseOffice of the Secretary of Defense
  9. Deep Automatic Target Recognition (DATR) Technology/R-DEX Systems, Inc.

    SBC: R-DEX SYSTEMS, INC.            Topic: SCO182008

    R-DEX Systems proposes to adapt its commercial discrimination technology used in industrial automation to develop Deep Automatic Target Recognition (DATR) Technology. DATR utilizes revolutionary deep learning processing (deep belief networks or DBNs, restricted Boltzmann machines RBMs, and convolutional neural networks or CNNs) to automatically identify hidden, nonlinear features that are not iden ...

    SBIR Phase I 2019 Department of DefenseOffice of the Secretary of Defense
  10. Secure Private Neural Network (SPNN)/Charles River Analytics Inc.

    SBC: CHARLES RIVER ANALYTICS, INC.            Topic: SCO182009

    Deep Neural Networks (DNNs) are becoming widely used in the DoD for image classification, but recent research has shown DNNs are vulnerable to adversary attacks. Adversaries can monitor the DNN training and classification processes to learn attributes of the training data and the DNN. With this information, an adversary can gain valuable insight into the potentially sensitive data used to train th ...

    SBIR Phase I 2019 Department of DefenseOffice of the Secretary of Defense
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