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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. Advanced Instrumentation for Non-Nulling Stack Velocity Testing

    SBC: AIRFLOW SCIENCES CORP            Topic: None

    Industrial facilities, manufacturing plants, and electric power plants that burn fossil fuels exhaust the combustion products to atmosphere through their smokestacks. Stack pollutant emissions are quantified using manual testing methods developed in the 1960s, which are prone to error if non-axial flow exists in a stack.Recently, NIST has been working on an improved technique of performing 3D flow ...

    SBIR Phase I 2019 Department of CommerceNational Institute of Standards and Technology
  2. Advanced Measurement Probe System for Non-Nulling Velocity Testing

    SBC: AIRFLOW SCIENCES CORP            Topic: 90

    Industrial facilities and power plants that burn fossil fuels exhaust the combustion products to atmosphere through their smokestacks. Stack pollutant emissions are quantified using manual testing method developed in the 1960s, which are prone to error due to biases from human operators and any non-axial flow in a stack.NIST has been working on an improved technique of performing 3D flow testing f ...

    SBIR Phase I 2020 Department of CommerceNational Institute of Standards and Technology
  3. Algorithm Performance Evaluation with Low Sample Size

    SBC: SIGNATURE RESEARCH, INC.            Topic: NGA20C001

    The team of Signature Research, Inc. and Michigan Technological University will develop and demonstrate methods and metrics to evaluate the performance of machine learning-based computer vision algorithms with low numbers of samples of labeled EO imagery. We will use the existing xView panchromatic dataset to demonstrate a proof-of-concept set of tools. If successful, in Phase II, we will extend t ...

    STTR Phase I 2021 Department of DefenseNational Geospatial-Intelligence Agency
  4. 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
  5. An Integrated Decision Support Framework for Sustainability CAE

    SBC: BIMCON Inc.            Topic: 9050273R

    The objective of this proposal is to establish the feasibility of developing an integrated decision support framework that transforms the current time-consuming and reactive (post completion of final design) sustainability assessment into a proactive CAE approach that enables the ability to revise designs based on performance against selected sustainability targets in the product design process, i ...

    SBIR Phase I 2011 Department of CommerceNational Institute of Standards and Technology
  6. A Tide To Table Traceability and Marketing System for Shellfish Aquaculture.

    SBC: Shellfish Solutions Inc.            Topic: 9101

    In 2017 the CDC estimated 35,000 American got sick from Vibrio parahaemolyticus transmitted by shellfish--a 54% increase. However, according to the co-chair of the Interstate Shellfish Sanitation Commission, “Our current system of traceback is inadequate.... Records are lost. Handwriting is illegible. More than half of all traceback investigations fail because the information in the value chain ...

    SBIR Phase I 2020 Department of CommerceNational Oceanic and Atmospheric Administration
  7. Automated Detection of Whale Blows in Infrared Video

    SBC: SONALYSTS INC            Topic: 816F

    The gray whale migration generates many hours of video that must be examined carefully to identify passing whales and get an accurate count of their numbers. Unfortunately, humans lack the necessary attention span. To solve this problem, a detector will be developed that can process hours of video, detecting whale blows while minimizing false positives and negatives. With an accurate record of ...

    SBIR Phase I 2011 Department of CommerceNational Oceanic and Atmospheric Administration
  8. Contact-free optical metrology for energy-efficient manufacturing of mechanical metamaterials

    SBC: MULTISCALE SYSTEMS, INC.            Topic: 2

    Mechanical metamaterials are a class of advanced materials that use repeated three-dimensional geometric patterns to endow common materials with new, enhanced, and superior material properties. The “meta” in “metamaterials” refers to the geometric pattern, while the “material” can be a metal, polymer, ceramic, etc. Our expertise focuses on the design and production of mechanical metama ...

    SBIR Phase I 2021 Department of CommerceNational Institute of Standards and Technology
  9. Decision Support Tools for Sustainable Manufacturing

    SBC: BIMCON Inc.            Topic: N/A

    The objective of this proposal is to establish the feasibility of developing an integrated decision support tool that transforms the current time-consuming and reactive (post-design) sustainability assessment into a real-time, proactive approach available in the early phases of product design. This tool, called Sustainability Integrated into Early Design (SIED), will define and capture lifecycle-w ...

    SBIR Phase I 2010 Department of CommerceNational Institute of Standards and Technology
  10. Detecting Intrusion from Network Anomalies (DINA)

    SBC: MICHIGAN AEROSPACE CORP            Topic: N/A

    This proposal introduces the Detecting Intrusion from Network Anomalies (DINA) system, which uses data mining tools to automatically detect anomalous behaviors that can be related to undesired intrusion and/or attacks upon computer networks, as well as other use patterns which may indicate behaviors which are non-hostile but still problematic. The application will make use of Ensembles of Decision ...

    SBIR Phase I 2008 Department of CommerceNational Institute of Standards and Technology
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