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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. Anion Exchange Resins for Chirality-based Separation of Single-wall Carbon Nanotubes

    SBC: Sepax Technologies, Inc.            Topic: 9060663R

    Single chirality of single-walled carbon nanotubes (SWCNTs) is critical for their superb mechanical, thermal, optical and electronic properties. All known methods for producing nanotubes give mixtures of tubes with different chiralities. Physical separation of SWCNT by chirality is thus an enabling step for many potential applications and fundamental studies. The existing anion exchange resins are ...

    SBIR Phase I 2011 Department of CommerceNational Institute of Standards and Technology
  2. Enhanced Security Content Automation Protocol Editor

    SBC: G2, INC.            Topic: 9040577R

    G2 proposes to develop an intuitive, interactive SCAP content creation and editing utility that will provide a user-friendly operating environment. The promise of security automation offers the opportunity for great advances in software assurance, security governance/reporting, and ongoing monitoring activities. Hindering that promise is the fact that current data exchange protocols are cumbersome ...

    SBIR Phase I 2011 Department of CommerceNational Institute of Standards and Technology
  3. High Performance Signal Processing Tools with Fluctuation-Enhanced Sensing

    SBC: Signal Processing, Inc.            Topic: 9020163R

    We propose a high performance library of signal processing tools that incorporate a newly developed technique known as fluctuation enhanced sensing (FES) to enhance the novel microsensor developed at NIST. Our goal is to improve the performance of the NIST sensor from two angles. One is to apply our existing proven algorithms to the NIST data. The other one is to incorporate advanced FES concept t ...

    SBIR Phase I 2011 Department of CommerceNational Institute of Standards and Technology
  4. 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
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