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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. Analog Optical Link using Novel Record Performance Laser, Modulator and Photodiode Technology

    SBC: FREEDOM PHOTONICS LLC            Topic: N20AT012

    In this program, Freedom Photonics and its research partner institution will demonstrate an analog optical link using novel record performance laser, modulator and photodiode technology. Preliminary designs for a miniature, deployable implementation will be conducted as well in Phase I.

    STTR Phase I 2020 Department of DefenseNavy
  2. 1um heterogeneously integrated transmitter for balanced links

    SBC: FREEDOM PHOTONICS LLC            Topic: N20BT030

    In this program, we propose to adapt a new, high-performance integration platform for RF photonics to operation at 1um, and to realize integrated optical transmitters that meet the requirements of the program.

    STTR Phase I 2020 Department of DefenseNavy
  3. 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
  4. Back Channel for LVC Training

    SBC: TOYON RESEARCH CORPORATION            Topic: N20AT024

    To support Navy Live, Virtual, and Constructive (LVC) training for surface fleets during periods of long transit, the Navy would like to consider alternative communication paths that can link shore based trainers and simulation capabilities with trainers and training systems afloat. To support full spectrum training during the training events, there is a desire to selectively turn off communicatio ...

    STTR Phase I 2020 Department of DefenseNavy
  5. 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
  6. Quantum Emulation Co-processor Circuit Card

    SBC: FASTER LOGIC, LLC            Topic: N20AT016

    Whereas quantum computers stand to drastically transform computation for a number of existing and future problems, its realization in the near term produces certain challenges.  Simulation and Emulation techniques make it possible to consider the advantages of quantum computation in real-world applications in cryptography, machine learning, signal processing, and cybersecurity.  They also open t ...

    STTR Phase I 2020 Department of DefenseNavy
  7. Development of Precision Alignment Techniques for Millimeter Wave Sources

    SBC: DYMENSO LLC            Topic: N20AT013

    High power generation at millimeter wave (mm-wave) frequencies is expensive and the concurrent need for wide bandwidths at these frequencies creates an extremely challenging problem. Currently the most stringent requirements for mm-wave power and bandwidth can only be practically met by vacuum electronics (VE) technology. At present, vacuum amplifiers with the required performance are prohibitivel ...

    STTR Phase I 2020 Department of DefenseNavy
  8. Machine Learning for Simulation Environment

    SBC: Arete Associates            Topic: N20AT014

    Areté and the Machine Learning for Artificial Intelligence (MLAI) Lab at the University of Arizona (UofA) will develop an interactive scenario building tool capable of generating realistic synthetic 360° videos in real-time for use in training simulators for periscope operators .  We refer to this solution as RealSynth360.  This novel capability will be created by combining the latest advances ...

    STTR Phase I 2020 Department of DefenseNavy
  9. 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
  10. Frequency and Phase Locking of Magnetrons Using Varactor Diodes

    SBC: Calabazas Creek Research, Inc.            Topic: N20AT015

    Magnetrons are compact, inexpensive, and highly efficient sources of RF power used in many industrial and commercial applications. For most of these applications, the requirement is for RF power without regard to precise frequency or phase control, and noise riding on the RF signal is not important. For many accelerator, defense, and communications applications, however, these characteristics prev ...

    STTR Phase I 2020 Department of DefenseNavy
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