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Award Data

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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. STTR Phase I: Development of low-cost optical sensor for nitrate detection in agricultural soils and environmental waters

    SBC: MAX-IR LABS INCORPORATED            Topic: CT

    The broader impact/commercial potential of this project will be to help control nutrient contaminants in soil and water for the benefit of the world?s population, by providing sustainable access to safe drinking water. The estimated national economic cost of nitrogen pollution in drinking water is $19 billion annually, while the cost to freshwater ecosystems is $78 billion per year. Traditional wa ...

    STTR Phase I 2018 National Science Foundation
  2. STTR Phase I: Development and Validation of Low-Cost Natural Gas Leak Detection Sensors and Analytics for Drone-Based and Handheld Deployments

    SBC: NIKIRA LABS INC.            Topic: CT

    The broader impact/commercial potential of this project is the rapid, cost-effective detection of natural gas leakage to improve public safety, mitigate global climate change, and decrease product loss. Natural gas is the largest provider of power in the United States. However, more than 80 Tg of leakage occurs at well pads and pipelines during production alone. Such leakage poses a public health ...

    STTR Phase I 2018 National Science Foundation
  3. STTR Phase I: Engineering Alternative Oxidation Activity in A. ferrooxidans For Enhanced Biohydrometallurgy Capabilities

    SBC: Ironic Chemicals LLC            Topic: BT

    The broader impact/commercial potential of this Small Business Technology Transfer (STTR) project will be to develop engineered bacteria with the ability to oxidize the copper mineral chalcopyrite and gold. The majority of copper reserves are in chalcopyrite, which currently requires smelting. The US copper mining industry, due to regulatory restrictions, has a limited smelting capacity forcing US ...

    STTR Phase I 2018 National Science Foundation
  4. STTR Phase I: Deep Transfer Learning Enabled Machine Vision Inspection and Its Applications in Exploration Geophysics

    SBC: ADVANCED GEOPHYSICAL TECHNOLOGY INC            Topic: IT

    The broader impact/commercial potential of this Small Business Technology Transfer (STTR) Phase I project will result from a direct benefit to the energy sector of the U.S. economy, since seismic exploration will play an increasingly important role in meeting increasing energy demands and maintaining healthy oil and gas output. The goal of this project is to develop a software package for automate ...

    STTR Phase I 2018 National Science Foundation
  5. STTR Phase I: Enabling Interference Management in Communication Networks Using True Time-Delay Systems

    SBC: GENXCOMM INC            Topic: EW

    The broader impact/commercial potential of this project is to vastly improve broadband access to the home across The Nation using true full duplex technology. By bringing full duplex communications to wireline and wireless systems, this proposed effort aims to improve connectivity, enhance coverage and enable new applications for both dense urban and sparse rural communities. This effort benefits ...

    STTR Phase I 2018 National Science Foundation
  6. STTR Phase I: Protecting Livestock from Airborne Disease Transmission Using Non-thermal Plasma Airstream Disinfection

    SBC: Taza Aya LLC            Topic: CT

    The broader impact/commercial potential of this STTR project stems from the costs to U.S. food producers of outbreaks of animal diseases. Producers of poultry, pork, and other food proteins lose more than $1B each year to infectious diseases, including some that are transmitted through the air. For diseases having an airborne transmission route, protective technologies that are available are few a ...

    STTR Phase I 2018 National Science Foundation
  7. STTR Phase I: AC-Supercapacitors for Power Applications

    SBC: BAONANO, LLC            Topic: EW

    The broader impact/commercial potential of this project is an innovative new capacitor technology based on kilohertz high-frequency supercapacitor, called AC-Supercap, aiming to replace conventional aluminum electrolytic capacitors (AECs) for a vast range of electronic and power systems. Capacitors are an essential component used in electronic devices, in power supplies driving electrical machines ...

    STTR Phase I 2018 National Science Foundation
  8. STTR Phase I: Advanced Thermophotovoltaic Generators for High-Value Remote Power

    SBC: Marigold Power, Inc.            Topic: PH

    The broader impact / commercial potential of this Small Business Technology Transfer (STTR) Phase I project is to enable electrification of remote oil & gas processes to reduce methane emissions, improve on-site safety, and provide leak-detection and monitoring capabilities. This will be achieved by developing a robust, efficient, small-scale power generator capable of converting on-site fuel to e ...

    STTR Phase I 2018 National Science Foundation
  9. Hybrid DNN-based Transfer Learning and CNN-based Supervised Learning for Object Recognition in Multi-modal Infrared Imagery

    SBC: TOYON RESEARCH CORPORATION            Topic: 1

    On this effort Toyon Research Corp. and The Pennsylvania State University are developing deep learning-based algorithms for object recognition and new class discovery in look-down infrared (IR) imagery. Our approach involves the development of a hybrid classifier that exploits both transfer learning and semi-supervised paradigms in order to maintain good generalization accuracy, especially when li ...

    STTR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
  10. Algorithms for Look-down Infrared Target Exploitation

    SBC: SIGNATURE RESEARCH, INC.            Topic: 1

    Signature Research, Inc. (SGR) and Michigan Technological University (MTU) propose a Phase I STTR effort to develop a learning algorithm which exploits the spatio-spectral characteristics inherent within IR imagery and motion imagery.Our archive of modelled and labeled data sets will allow our team to thoroughly capture the variable elements that will drive machine learning performance.The overall ...

    STTR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
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