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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-resolution/high-precision PEM Quality Control

    SBC: RESONON, INC.            Topic: C5618h

    High-quality, defect free, and consistent thickness Proton Exchange Membrane (PEM) films are required to ensure maximum efficiency and longevity over the life of hydrogen fuel cells or electrolyzers utilizing this technology. The current technologies of PEM film Quality Assurance (QA) and defect detection rely on human inspection, which can be subjective and labor intensive, or measurement technol ...

    SBIR Phase I 2023 Department of Energy
  2. A low-cost snow water equivalent sensor

    SBC: NWB SENSORS INC            Topic: 84

    Project SummaryAccumulated snowpack is a major source of water throughout the United States. Accuratelymonitoring snow on the northern plains is a significant need for streamflow forecasting andreservoir management. This has been demonstrated by the US Army Corp of Engineersestablishment of the Upper Missouri River Basin Plains Snow and Soil Moisture MonitoringNetwork. The availability of a low-co ...

    SBIR Phase I 2023 Department of Agriculture
  3. Post assembly balancing of Y-Branch splitters used in IFOG sensors

    SBC: ADVR, INC.            Topic: N221078

    In this SBIR program, AdvR will develop a new feature in Y-branch dual phase modulator IOCs which enables fine tuning of the split ratio after assembly.  The proposed approach utilizes existing technology with a long flight heritage in tactical gyroscopes to create a tunable section which is localized, finely adjustable and permanent after tuning.  Preliminary modeling indicates the target perfo ...

    SBIR Phase I 2022 Department of DefenseNavy
  4. Mobile PET Plastic Ocean Waste Recycler (POWER) Module

    SBC: PKS CONSULTING, INC.            Topic: 86

    Topic 8.6 Rural Development Subtopic 2: Development of New Services November 3 2021Proposal: "Mobile PET Plastic Ocean Waste Recycler (POWER) Module" PIN 21-06FIELD 7. PROJECT SUMMARY/ABSTRACTThe Opportunity.Alaska's beaches are covered with hundreds of tons of Plastic Ocean Waste (POW)that has been deposited into the water from a myriad of counties including Russia Japan Korea Chinaand the United ...

    SBIR Phase I 2022 Department of Agriculture
  5. Automated Pollinator Identification: Next-Generation Sensors for Species and Behavior

    SBC: FIELD DATA SERVICES LLC            Topic: 813

    The project's goal is to enable machine learning ("AI") enabled pollinator ID and behavior detectionon agricultural producer lands where detection units send insect IDs and behavior counts back tothe producer. Our objective is to build on an existing USDA open-source automated insectidentification device that can already send machine vision results back to the farmer.All camera-based computer visi ...

    SBIR Phase I 2022 Department of Agriculture
  6. Commercial Production of Low-Loss Quantum Frequency Conversion and Electro-Optical Modulation Devices Enabled by Wafer-Level Processing of Reverse-Proton-Exchange Lithium Niobate Waveguides

    SBC: ADVR, INC.            Topic: C5106a

    Quantum optical networks will require all optical signal processing that is enabled by lithium niobate-based components. While many of these components are commercially available, they are not optimized for the ultra-low optical losses required for quantum applications. This program will develop refined processing techniques to fabricate ultra-low loss lithium niobate- based components, initially ...

    SBIR Phase II 2022 Department of Energy
  7. Optimized source of non-Gaussian states for use in hybrid discrete/continuous variable quantum information processing schemes

    SBC: ADVR, INC.            Topic: C5305a

    The US Department of Energy is developing long-distance optical quantum networks, establishing the need for commercial-grade photonic quantum light sources. There is a need to determine the optimal sources and information encoding schemes while the technologies are developed, possibly varying by application. Investigation of the merits of encoding schemes in parallel with commercial development of ...

    STTR Phase I 2022 Department of Energy
  8. Development of robust fully autonomous machine learning-based cloud processing for Infrared Cloud Imagers

    SBC: NWB SENSORS INC            Topic: C5326b

    Cloud cover is an important but poorly characterized component of current climate models. In particular, there is a need to detect and quantify cloud cover in a physically meaningful manner. This need has led to the development of infrared cloud imagers. This system uses long-wave infrared cameras to observe the thermal emission from the clouds and produces a measurement of spatially distributed c ...

    SBIR Phase I 2022 Department of Energy
  9. Waveguide-based squeezed light sources

    SBC: ADVR, INC.            Topic: C5305a

    Squeezed light sources are a critical component of continuous variable quantum networking and quantum computing systems. Periodically poled nonlinear optical waveguides are a promising technology for squeezed light sources due to high conversion efficiency, long interaction length, robust fiber coupling, and integration potential. While these waveguides are available commercially, they are not opt ...

    SBIR Phase I 2022 Department of Energy
  10. Beartooth MK II TAK Mesh Radio, Low SWapC, LPD, LPI

    SBC: BEARTOOTH RADIO, INC.            Topic: DTRA212008

    Beartooth MK II is a small, inexpensive, disposable system for warfighter communication.  The system enables the warfighter to sense and respond to the environment, threats, and targets.  Beartooth has a low probability of detection, low probability of interception and applies artificial intelligence to increase warfighter lethality and survivability while lowering cognitive load.  The sys ...

    SBIR Phase I 2022 Department of DefenseDefense Threat Reduction Agency
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