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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. Three Dimensional Field of Light Display

    SBC: TRITON SYSTEMS, INC.            Topic: N19BT036

    As the Navy continues to reduce manpower requirements associated with operating ever-increasing technologically complex systems, new methods that enable natural and intuitive interaction with 3D data are required to reduce overall operator workload and to enhance situational awareness. Operators who cannot quickly access and interpret data are prone to errors ranging from missing critical data dur ...

    STTR Phase I 2020 Department of DefenseNavy
  2. Fully Automated Quantum Cascade Laser Design Aided by Machine Learning

    SBC: PENDAR TECHNOLOGIES LLC            Topic: N20AT003

    Pendar Technologies proposes to develop a QCL simulation tools that leverage machine learning to dramatically improve the speed of QCL device design. The innovative QCL design suite proposed will benefit from recent advances made by Pendar in bandstructure engineering, laser cavity design and thermal management at the chip and the package level.

    STTR Phase I 2020 Department of DefenseNavy
  3. Hexahedral Dominant Auto-Mesh Generator

    SBC: HYPERCOMP INC            Topic: N20AT004

    The objective of our proposed STTR phase-I work is to transition the latest advancements within the academic community to the design of a robust, user-friendly, and application-oriented tool for automatic hex-dominant meshing. Our software will fully couple CAD models to the discretized domain required by finite element software in structural analysis and other simulation and modeling applications ...

    STTR Phase I 2020 Department of DefenseNavy
  4. Hexahedral Dominant Auto-Mesh Generator

    SBC: M4 ENGINEERING, INC.            Topic: N20AT004

    Advances in both software and computer hardware have made the finite element method the preeminent choice for analyzing highly complex systems that are of great value to the Department of Defense.   The US Defense industry, however, continues to spend enormous time and resources in mesh generation, a key step in finite element analysis, despite progress that has been made in automated mesh gener ...

    STTR Phase I 2020 Department of DefenseNavy
  5. Ambient Quantum Processor compatible with an All-photonic Repeater Architecture

    SBC: CATALYTE, LLC            Topic: N20AT005

    The significance of the problem is to deploy combined quantum communication-and-processing near to Navy applications.   Our approach, when successful, would enable small, ambient operating QPUs to be connected at a distance by quantum-secure communication.  Unlike bulky optical components and in-contrast to cryogenic qubits, our system, using in situ generated photons, offers a practical s ...

    STTR Phase I 2020 Department of DefenseNavy
  6. High Efficiency Propeller for Small Unmanned X Systems using Advanced Composite Materials

    SBC: CATTO PROPELLERS            Topic: N20AT006

    In the proposed STTR study, Catto Propellers, Inc. (Catto) and the University of North Dakota (UND) will create an efficient new propeller design utilizing advanced composite materials for use on small unmanned x systems.  During Phase I, a comprehensive study will be conducted to develop a new propeller design in order to increase propeller efficiency, reduce aerodynamic noise and utilize innova ...

    STTR Phase I 2020 Department of DefenseNavy
  7. PARTEL: Periscope video Analysis using Reinforcement and TransfEr Learning

    SBC: MAYACHITRA, INC.            Topic: N20AT007

    We propose a suite of video processing algorithms utilizing the machine learning (ML) techniques of artificial intelligence (AI) reinforcement learning, deep learning, and transfer learning to process submarine imagery obtained by means of periscope cameras. Machine learning (ML) can help in addressing the challenge of human failure of assessing the data of periscope imagery. Though pre-tuned blac ...

    STTR Phase I 2020 Department of DefenseNavy
  8. TIS: Trusted Sensor Integration

    SBC: Objectsecurity LLC            Topic: N20AT011

    Condition-based maintenance plus (CBM+), and cyber-physical systems (CPS) in general, depend on correct sensor data for analysis, decision making and control loops. If the sensor data that arrives at the point of processing is not correct, or more accurate, is outside its accepted error range, then any further processing will be incorrect as well. This could result in, in the case of CBM+, not det ...

    STTR Phase I 2020 Department of DefenseNavy
  9. Electromagnetic Interference Resilient, Low Noise Figure, Wide Dynamic Range RF Photonic Link

    SBC: Photonic Systems, Inc.            Topic: N20AT012

    Photonic Systems, Inc. (PSI) and Harvard University propose to collaborate in Phases I and II of this STTR program towards the goal of demonstrating a broadband RF/photonic signal link with a specific combination of performance parameters and other features not available from present state-of-the-art links. The solicitation’s goal – specifically, an electromagnetic attack-resilient electro-op ...

    STTR Phase I 2020 Department of DefenseNavy
  10. Electromagnetic Interference (EMI) Resilient, Low Noise Figure, Wide Dynamic Range of Radio Frequency to Photonic (RF Photonic) Link

    SBC: APPLIED NANOFEMTO TECHNOLOGIES LLC            Topic: N20AT012

    EMI resilient RF Photonic Links are critical for connecting remote antennas in the next generation Navy electronics warfare (EW) architecture. Current commercially available RF/photonic link technologies have deficiencies in dynamic range, noise figure, and SWaP performance. For a solution, this STTR project aims to develop a novel wide dynamic range, low noise RF photonic link, where the key comp ...

    STTR Phase I 2020 Department of DefenseNavy
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