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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. Intelligent Additive Manufacturing- Metals

    SBC: TRITON SYSTEMS, INC.            Topic: N20AT018

    Although metal AM technologies have continued to progress, there are still many different challenging factors to a build that impact part quality and the amount of time it takes to successfully process a first-run component without defects. Triton Systems proposes to develop a machine learning algorithm that adjusts print parameters during the build in reaction to in-situ sensor data in order to ...

    STTR Phase I 2020 Department of DefenseNavy
  2. Air-Sea Thermal Energy Harvesting on an Arctic Buoy

    SBC: SEATREC, INC.            Topic: N20AT023

    Seatrec will collaborate with a team from the Woods Hole Oceanographic Institution to demonstrate the technical feasibility and commercial applicability of a novel energy harvesting system that converts thermal energy from high-latitude air-sea temperature differences into electricity.  This capability will extend the endurance and capability of observing system elements, reduce battery waste, a ...

    STTR Phase I 2020 Department of DefenseNavy
  3. 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
  4. 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
  5. Using Magnetic Levitation for Non-Destructive Detection of Defective and Counterfeit Materiel

    SBC: Nano Terra, Inc.            Topic: DLA15C001

    The introduction of substandard or counterfeit materials into the DoD supply chain can have extremely expensive, and potentially life threatening, consequences. Current techniques used to detect nonconforming materiel can be destructive (e.g., manual sectioning and inspection of a part), time consuming and expensive (e.g., micro-computed tomography, ultrasound), or provide only limited informatio ...

    STTR Phase I 2016 Department of DefenseDefense Logistics Agency
  6. Detecting Substandard, Nonconforming, Improperly Processed and Counterfeit Materiel

    SBC: Ocean Bay Information and Systems Management, LLC            Topic: DLA15C001

    "Micro-calorimetry is a Nondestructive Test (NDT) capable of detecting heat characteristics that could identify improperly processed, counterfeit, substandard, nonconforming or fake raw material prior to materials introduction into end-product production cycles. Current calorimetric technology is an extremely sensitive, expensive and time consuming process, utilizing an adiabatic or semi-adiabat ...

    STTR Phase I 2016 Department of DefenseDefense Logistics Agency
  7. A High-Speed Digital Holocamera for the 3-D Analysis of Flow Interaction with High Speed Flows

    SBC: METROLASER, INCORPORATED            Topic: N20AT020

    In hypersonic flight, airborne particles such as water or ice can penetrate and alter the bow shock and flow field, enhance erosion mechanisms and alter aerodynamics. Particles break up as they pass through the shock wave, impact the surface, erode and increase surface roughness, increase turbulence and heat transfer, and augment heating that can destroy heat shields prematurely. Many tests and th ...

    STTR Phase I 2020 Department of DefenseNavy
  8. 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
  9. 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
  10. 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
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