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The Award database is continually updated throughout the year. As a result, data for FY23 is not expected to be complete until September, 2024.

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. Cognitive Software Algorithms Techniques for Electronic Warfare

    SBC: HELIOS REMOTE SENSING SYSTEMS, INC.            Topic: N171044

    Helios Remote Sensing Systems, Inc. will develop innovative cognitive software algorithms and techniques for electronic warfare in order to counter highly agile radar emitters. We will define and develop a concept for cognitive Software Algorithms EW techniques for identifying and countering agile threat emitters. We will also develop prototype signal sets that emulate threat emitters. We will dem ...

    SBIR Phase II 2019 Department of DefenseNavy
  2. Nanomachine Device for Semiconductor Process Control Monitoring

    SBC: XALLENT INC.            Topic: None

    Conventional characterization and test methods are increasingly ineffective when applied to structures less than 100 nanometers, causing challenges across R&D, process control and failure analysis. An increasing number of subtle defects become prominent drivers of failure as device size and operating margins decrease, e.g., processing anomalies in thin gate oxides, substrate problems related to do ...

    SBIR Phase I 2019 Department of CommerceNational Institute of Standards and Technology
  3. Conductivity, Temperature, Depth (CTD) Sensor for Ohio Class Ballistic Missile (SSBN), Ohio Class Guided Missile (SSGN), and Columbia Class Submarines

    SBC: B H TECHNOLOGY LLC            Topic: N191027

    A fully planar CTD is proposed that eliminates the need for tubes, vents, and scoops to deliver seawater to the CTD sensor. Additionally, as the planar sensor is directly mounted to the submarines skin, either to the hull or the sail, there is no latency associated with the measurements as with the current configuration. The planar CTD is based upon BHT's patented technology which allows this plan ...

    SBIR Phase I 2019 Department of DefenseNavy
  4. Big Data Tools for High-speed Threat Detection and Classification

    SBC: BLACK RIVER SYSTEMS COMPANY, INC.            Topic: N191036

    We are developing a deep-learning approach for detecting and classifying torpedo-like threats present in passive sonar data. Interference from merchant ships and biologics often obscure threat signals evident on sonar display surfaces. Experienced sonar operators can distinguish signals of interest (SOIs) such as torpedoes and rogue surface craft from clutter in beam-level displays, but this manua ...

    SBIR Phase I 2019 Department of DefenseNavy
  5. Deep reinforcement learning based unManned ARiel VEhicLes (D-MARVEL)

    SBC: Andro Computational Solutions LLC            Topic: N192062

    The ability to quickly adapt to the multitude of dynamic mission objectives and environments that UAV solutions are subjected to is a key differentiator between autonomous UAV solutions. Furthermore, it is often the case that an operator must team with the autonomous UAV in an effort to maximize the efficacy of the team as a whole. Restrictions such these render more traditional solutions of rangi ...

    SBIR Phase I 2019 Department of DefenseNavy
  6. Apparatus for Characterizing Mixed Failure Modes in Cross Deck Pendants

    SBC: DAYTON T. BROWN, INC.            Topic: N192077

    The aircraft carrier Cross Deck Pendant (CDP) is vital to the operation of Naval Aviation. Their design, construction and operational use have been developed for many decades through a combination of engineering and operational experience. Currently in process changes to aircraft landing control systems and the introduction of unmanned aircraft the fleet air wings will introduce changes to the CDP ...

    SBIR Phase I 2019 Department of DefenseNavy
  7. Inverse Synthetic Aperture Radar (ISAR) Imaging in the Presence of Electronic Attack (EA)

    SBC: HELIOS REMOTE SENSING SYSTEMS, INC.            Topic: N192089

    Helios Remote Sensing Systems proposes to develop and demonstrate a maritime Inverse Synthetic Aperture Radar (ISAR) imaging algorithm that is robust to electronic attack (EA). We will develop an innovative maritime ISAR imaging algorithm that is robust to EA for operation in highly contested environments. We will develop a novel ISAR framework and imaging algorithm that leverages the physics of r ...

    SBIR Phase I 2019 Department of DefenseNavy
  8. FPGA Vulnerability Analysis Tools

    SBC: GRAMMATECH INC            Topic: N19AT018

    Field programmable gate arrays (FPGAs) are becoming increasingly critical components in advanced electronic systems. However, limited research has been applied to identifying critical vulnerabilities that could be present in the designs deployed on these FPGAs. The risk is further increased by the use of 3rd party intellectual property in many designs.GrammaTech is proposing to develop a Trust ver ...

    STTR Phase I 2019 Department of DefenseNavy
  9. Innovative Approach to Full Scale Fatigue Testing using Hybrid Methodologies

    SBC: DAYTON T. BROWN, INC.            Topic: N171027

    The lack of adequate fatigue life verification for rotorcraft airframe structures leads to costly in service repairs being required in order to maintain structural integrity. The current established methodology does not test the airframe to the synergistically harmful combination of high cycle fatigue (HCF) vibratory load cycles superimposed on low cycle fatigue (LCF) caused by “g” maneuvers a ...

    SBIR Phase II 2019 Department of DefenseNavy
  10. Verification and Optimization of Advanced Finite Element Modeling Techniques for Complex Submarine Hull Structures

    SBC: M & J Engineering, P.C.            Topic: N171059

    We at M&J Engineering, P.C. (M&J has been a certified SBA 8A firm since April 2015) along with our partner, Thornton Tomasetti – Weidlinger Applied Science, propose to develop and implement a full design of a documented workflow and model review process for hull strength assessment. It includes a software implementation of analytical tools (MARQUS) to assess FEM inputs and outputs in a standardi ...

    SBIR Phase II 2019 Department of DefenseNavy
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