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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. Model-Based Application of NIST Cybersecurity Standards

    SBC: WW TECHNOLOGY GROUP, INC            Topic: 90

    The proposed innovation will use a model-based approach to streamline understanding and application of standards. NIST standards addressing cybersecurity, presented in the form of documents, spreadsheets, and database tools, provide thousands of complimentary and overlapping items for users to track. Significant effort is expended understanding the standards before attention can be focused on the ...

    SBIR Phase I 2020 Department of CommerceNational Institute of Standards and Technology
  2. ENT:Extended Nestor Tagging

    SBC: REDSHRED, LLC            Topic: 90

    In order for manufacturers to adopt data-driven decision making, they must tap into unstructured data that sits unused. The process of annotation and knowledge extraction from unstructured text data is a time consuming and challenging bottleneck to adopting machine learning at scale.  This Phase I SBIR proposes implementation of an enhanced cloud-based platform enabling maintenance and other orga ...

    SBIR Phase I 2020 Department of CommerceNational Institute of Standards and Technology
  3. Developmet of Universal SNP chips for Pacific White Shrimp

    SBC: INFINI-SEA LLC            Topic: 9103

    Pacific white shrimp is the most important species in shrimp aquaculture, making up the majority of the US$6.5 Billion worth of farmed shrimp imported into the US in 2017. The dominance of this species in shrimp aquaculture is due to the development of domesticated strains and years of continuous genetic improvement. Recent advancements in genome selection allow faster and more accurate selection ...

    SBIR Phase I 2020 Department of CommerceNational Oceanic and Atmospheric Administration
  4. Continuous eDNA Monitoring for Early Detection of Aquaculture Diseases

    SBC: CD3, General Benefit Corporation            Topic: 9102

    As aquaculture increases productivity to meet worldwide demand, it faces an increasing threat from the spread of disease, aquatic organisms, and pathogens. However, biosensor technologies have not kept pace with the need to monitor these ever-increasing threats. In particular, biomonitoring has been limited by the need for continuous human presence, whether at the point of collection or in the lab ...

    SBIR Phase I 2020 Department of CommerceNational Oceanic and Atmospheric Administration
  5. A NEW MACHINE LEARNING TECHNIQUE FOR ACCURATELY FORECASTING EXTREME PRECIPITATION FROM LANDFALLING ATMOSPHERIC RIVERS

    SBC: INNOVIM, LLC            Topic: 9503

    Atmospheric rivers transport large volumes of water vapor outside the tropics and when landfalling, produce large quantities of rain that replenish aquifers, contribute to beneficial increases in snowpack, yet can cause flooding and damage. Accurate forecasts of precipitation during landfalling atmospheric rivers are critical because they play a large role in water supply and flooding. However, th ...

    SBIR Phase I 2020 Department of CommerceNational Oceanic and Atmospheric Administration
  6. Developing Commercial Quantum Resistance Standard Based on Epitaxial Graphene

    SBC: GRAPHENE WAVES, LLC            Topic: None

    Graphene Waves proposes to develop a quantum Hall resistance (QHR) standard based on graphene that can be deployed for general electrical calibration in industries. Current QHR standard is based on GaAs/AlGaAs heterostructure and requires expensive liquid helium to operate. The continuous increase in price and unstable supply chain of liquid helium limit the QHR standard to be only affordable by t ...

    SBIR Phase I 2019 Department of CommerceNational Institute of Standards and Technology
  7. Laser Particle Separation

    SBC: Opthos Instrument Company, LLC            Topic: None

    Parman Tech is dedicated to commercializing a NIST technology for sorting nano-particles. This technology uses the force of light to gently guide particles along different paths depending on the size of makeup of each particle.

    SBIR Phase I 2019 Department of CommerceNational Institute of Standards and Technology
  8. TheSieve

    SBC: CYBER POINT INTERNATIONAL LLC            Topic: None

    CyberPoint International presents the design of a cross platform product for the autonomous execution of live forensic investigations of Personal Computers, Laptops and Servers leveraging the NIST NSRL corpus and a combination of at least 3 forms of machine learning/artificial intelligent algorithms for the processing of preliminary digital evidence titled TheSieve. We build upon work from our pha ...

    SBIR Phase II 2019 Department of CommerceNational Institute of Standards and Technology
  9. TheSieve

    SBC: CYBER POINT INTERNATIONAL LLC            Topic: NA

    We propose to create an advanced forensic analysis tool called TheSieve. This tool will use machine learning techniques that can classify files as malicious or benign as well as suggesting files for closer inspection. Built upon custom enhancements to the National Software Reference Library (NSRL), TheSieve will allow forensic investigators to spend theirvaluable time examining the most significan ...

    SBIR Phase I 2018 Department of CommerceNational Institute of Standards and Technology
  10. ISABEL- Integrated Secure Automated Bug Extraction List

    SBC: SMART INFORMATION FLOW TECHNOLOGIES LLC            Topic: NA

    To automatically detect software bugs, understand their characteristics, and categorize them according to the evolving NIST Bugs Framework (BF), SIFT is developing ISABEL: Integrated Secure Automated Bug Extraction List. ISABEL will provide three key functions:- Using symbolic analysis and fuzz-testing tools to find inputs that trigger vulnerabilities (bugs).- Using fuzz-testing, delta-debugging, ...

    SBIR Phase II 2018 Department of CommerceNational Institute of Standards and Technology
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