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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 Throughput Static and Dynamic Testing of AM Materials for Uncertainty Quantification and Qualification

    SBC: MRL MATERIALS RESOURCES LLC            Topic: N18AT028

    Qualification of additively manufactured parts is hampered by the inherent uncetainty in properties due to heterogeneity in processing, microstructure, and defects. The proposed effort combines high-throughput testing of static and dynamic properties using tailored sample geometry, fixture design, and load application method with microstructure quantification and analysis. This system will drastic ...

    STTR Phase I 2018 Department of DefenseNavy
  2. Twiner

    SBC: SOAR TECHNOLOGY, LLC            Topic: N18AT019

    We currently lack the ability to holistically and autonomously look across all three layers of cyberspace (persona, logical and physical) and identify interesting patterns, which would give us an edge in understanding complex activities in and through cyberspace. To address this challenge, Soar Technology (SoarTech) and the GeorgiaTech Research Institute (GTRI) propose Twiner, an intelligent syste ...

    STTR Phase I 2018 Department of DefenseNavy
  3. Innovative additive manufacturing (AM) process for successful production of 7000 series aluminum alloy components using Smart Optical Monitoring Syste

    SBC: SENSIGMA LLC            Topic: N18AT005

    Naval aircraft components are routinely made of 7000 series aluminum alloys due to their strength, weight and fatigue properties. Present Additive Manufacturing (AM) processes falls short of producing 7000 series Al alloys successfully due to lack of porosity, thermal and composition control. In-situ methods implemented to date largely only yield information about the component surface and other m ...

    STTR Phase I 2018 Department of DefenseNavy
  4. Laser Additive Manufacturing of Seven Thousand Series Aluminum Aircraft Components (LAM-STAAC)

    SBC: MV INNOVATIVE TECHNOLOGIES, LLC            Topic: N18AT005

    Alloys of aluminum in the 7000 series are known to have good weight, strength, and fatigue properties and are commonly used in Naval aircraft components. Recent manufacturing trends are increasingly focused on additive manufacturing (AM) methods as a way to reduce lead time, cost, and to improve part performance. Current additive manufacturing techniques are unable to fabricate parts in 7000 serie ...

    STTR Phase I 2018 Department of DefenseNavy
  5. Advanced Ship-handling Simulators

    SBC: D'Angelo Technologies, LLC            Topic: N18AT014

    There is a need to create an automated, adaptive, real time coaching module that can integrate the Conning Officer Virtual Environment (COVE) along with the associated Intelligent Tutor System (COVE-ITS) and the Conning-Officer Ship Handling Assessment (COSA) together. By automating the evaluation process, Surface Warfare Officers (SWOs) will have the opportunity to use the COVE simulations more f ...

    STTR Phase I 2018 Department of DefenseNavy
  6. Rydberg-atom RF Sensors for Direction Finding and Geolocation (RADARS)

    SBC: COLDQUANTA, INC.            Topic: AF17AT028

    ColdQuanta, in partnership with Dr. Zoya Popovic at the University of Colorado at Boulder, proposes to develop a three-dimensional quantum-enhanced radio-frequency (RF) signal sensor and direction finder. Our approach combines Rydberg-atom-based RF electrometry and discrete lens arrays (DLAs) of planar antennas. The DLA will serve as a Fourier optic for an incident wave, and a Rydberg-atom RF elec ...

    STTR Phase II 2018 Department of DefenseAir Force
  7. Cyber Ready-and-Aware Mindset for Protection and Resilience against Threats (Cyber RAMPART)

    SBC: SOAR TECHNOLOGY, LLC            Topic: N17AT023

    We propose to develop Cyber RAMPART as an extensible and customizable training delivery tool with near-term transition potential. It will offer shipboard operations personnel the opportunity to develop foundational cyber awareness knowledge and skill that prepares them to participate in their ship’s cyber defense mission and to hit the ground running in future fleet-level exercises that include ...

    STTR Phase II 2018 Department of DefenseNavy
  8. Phase-Change Materials for Tunable Infrared Devices

    SBC: PLASMONICS INC            Topic: N17AT020

    There is a critical need for the development of dynamic IR materials that can be used to form device level components and systems necessary for mid to long wave infrared (3-12 µm) applications. To meet these future needs, the team proposes to develop tunable optical elements based around metamaterial surfaces or metasurfaces. Metasurfaces are a class of engineered materials where arrays of sub-wa ...

    STTR Phase II 2018 Department of DefenseNavy
  9. Energy Efficient, Non-Silicon Digital Signal Processing (DSP)

    SBC: HYPRES INC            Topic: N17AT027

    Superconductor digital circuits, operating at very high clock speed, can directly process wideband digitized radio frequency (RF) signals. By integrating such digital processing circuitry together with superconductor analog-to-digital converters (ADCs), we propose to develop the next generation digital-RF receivers. Leveraging the recent development of multiple superconductor ADCs on the same chip ...

    STTR Phase II 2018 Department of DefenseNavy
  10. Meaning-Aligned Record Synthesis for Training Emerging Capabilities (MARSTEC)

    SBC: SOAR TECHNOLOGY, LLC            Topic: N18AT003

    Operational experts collect recorded data about emerging tactics, techniques, and procedures (TTPs) from sources such as live and virtual training exercises, and numerous test and evaluation simulations. However, instructional designers cannot easily reuse the recorded data to create new training. Without sufficient access to operational experts, expert knowledge is inaccessible and fragmented, of ...

    STTR Phase I 2018 Department of DefenseNavy
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