You are here

Award Data

For best search results, use the search terms first and then apply the filters
Reset

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. 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
  2. Intelligent & Secure Probing for Embedded Condition and Threat Monitoring (INSPECT-M)

    SBC: LUNA INNOVATIONS INCORPORATED            Topic: N20AT011

    The United States Navy is currently developing Condition Based Maintenance Plus (CBM+) concepts and technologies in order to improve the readiness and availability of Department of Defense assets by maximizing efficiency and reducing the life-cycle maintenance costs through data-driven decisions. A secure CBM+ sensor node has the potential to reduce the number of machine overhauls, shorten the tim ...

    STTR Phase I 2020 Department of DefenseNavy
  3. 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
  4. Self-Healing Ship Systems

    SBC: RAM LABORATORIES            Topic: N21AT014

    As modern-day ships require more advanced applications and systems to run directly on the vessel, they require large amounts of computational resources to execute the complex software and algorithms.  While these next generation capabilities provide immense value, the downside is that now the compute servers and clusters required to support these capabilities become single points of failure. To c ...

    STTR Phase I 2021 Department of DefenseNavy
  5. 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
  6. 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
  7. 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
  8. 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
  9. Timing and Harmonic AI-based Waveform Error Detection (THAWED)

    SBC: EXPEDITION TECHNOLOGY, INC.            Topic: N20AT025

    The physics generating timing spurs in a high-speed, low-bit depth analog-to-digital converter will be modeled in a machine learning framework to enable both the prediction of spurs and adaptive removal using an enhancement neural network. The algorithms will be developed in software and optimized for low-latency operation in a digital (FPGA or similar) framework. High-speed implementation of ...

    STTR Phase I 2020 Department of DefenseNavy
  10. Chaotic resonators for low-SWaP integrated compressive sensing systems

    SBC: FIBERTEK, INC.            Topic: N21AT004

    We propose the novel approach of using chaotic micro-resonators on photonic integrated circuits to reduce the size, weight, and power (SWaP) and increase the stability of the random basis generation portion of a compressive sensing system with the goal of enabling a large bandwidth radio frequency (RF) receiver while reducing the requirements on data capture. Our proposed technical and programmati ...

    STTR Phase I 2021 Department of DefenseNavy
US Flag An Official Website of the United States Government