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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. Microcapillary Quartz Sensors for Screening Injectability of High Concentration Protein Formulations

    SBC: QATCH TECHNOLOGIES LLC            Topic: None

    The objective of this SBIR Phase I proposal is to determine the feasibility of viscosity characterization of high concentration protein formulations (HCF) by QATCH’s microcapillary quartz technology. HCFs are non-Newtonian fluids with shear-thinning behavior and they are administered to patients by subcutaneous or muscular injections. The injectability of HCFs depends on the viscosity at high-sh ...

    SBIR Phase I 2019 Department of CommerceNational Institute of Standards and Technology
  2. Gap-Free Model-Based Engineering for Manufacturing and Analysis: Digital Thread without Translation

    SBC: Nvariate, Inc.            Topic: None

    Modern Model-Based Enterprise / Engineering (MBE) systems rely on freeform surfaces built as complex combinations of geometric primitives to define engineered objects. Unfortunately, the intersection of freeform surfaces in MBE applications results in highly approximated solutions, degrading models that cost billions annually by US industry to fix. Current technology limits the abilities of users ...

    SBIR Phase I 2019 Department of CommerceNational Institute of Standards and Technology
  3. 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
  4. Advanced Manufacturing and Material Measurements Software Tool Weave ™ for the Acceleration and Automation of SEM Image Analysis in the Semiconductor Industry

    SBC: Sandbox Semiconductor Incorporated            Topic: None

    In this Phase I SBIR proposal, SandBox Semiconductor™ proposes to develop an Advanced Manufacturing and Material Measurements software tool called Weave ™ for accelerating and automating SEM image analysis for the semiconductor industry. During the development of a new manufacturing process line for a semiconductor device, tens of thousands of scanning electron microscopy (SEM) images are take ...

    SBIR Phase I 2019 Department of CommerceNational Institute of Standards and Technology
  5. Development of a Neutron-based Nondestructive Test Method for Concrete Petrography and Chemical Analysis

    SBC: TOURNEY CONSULTING GROUP, LLC            Topic: None

    To evaluate the technical feasibility of prompt gamma neutron activation (PGAA) as an alternative to a set of standard destructive tests of concrete petrography including aggregate type, water/cement ratio, aggregate/binder ratio, density, chloride content and chloride bulk diffusion constant; and to determine the specifications for the design of a dedicated commercial laboratory-based PGAA facili ...

    SBIR Phase I 2019 Department of CommerceNational Institute of Standards and Technology
  6. Advanced Simulated Patient Intelligent Response Engine (ASPIRE)

    SBC: VCOM3D INC            Topic: DHA191002

    The goal of medical simulation-based training such as high-fidelity manikin simulators, part task trainers, and screen-based virtual patients, is to approximate real-life treatment experiences without risk to live patients. While the use of sensors has ma

    SBIR Phase I 2019 Department of DefenseDefense Health Agency
  7. nXcomms: Intelligent Patient Simulation

    SBC: BIOMOJO LLC            Topic: DHA191002

    BioMojo proposes to develop a language-based intelligent patient simulation platform for the purpose of providing students with a realistic training environment and instructors better control over the training environment involving simulated patients.

    SBIR Phase I 2019 Department of DefenseDefense Health Agency
  8. Intelligent Patient Simulation Platform

    SBC: SHARP VISION SOFTWARE LLC            Topic: DHA191002

    A proof-of-concept research on Intelligent Patient Platform is proposed with the goal to improve healthcare training experience by adding natural language capability to patient simulators by leveraging the latest artificial intelligent technologies so tha

    SBIR Phase I 2019 Department of DefenseDefense Health Agency
  9. Local Patient Record Transfer Modernization in Theater/Operational Settings in Support of JOMIS Patient Movement Requirements Definition Package (RDP) Requirements

    SBC: CONCENTRIS SYSTEMS LLC            Topic: DHP191003

    The DoD Medical Health Systems (MHS)seeksameans to collect, transport,and share patientcareinformation between disparateelectronicmedical record systems in austerelocations that lacksufficient or reliabletelecommunicationsconnectivity. Thesolution they seek must bereliablein deliveringlargeamounts of patient medical information, durablein demandingmilitaryenvironments,adaptableto current and evolv ...

    SBIR Phase I 2019 Department of DefenseDefense Health Agency
  10. Novel Fluorescence Lysosomal Yeast (FLY) Portable Biosensor for General Water Toxicity Testing

    SBC: NANOHMICS INC            Topic: DHA191006

    Nanohmics proposes to develop a radically new type of general water toxicity monitor based on the widely published principle that many eukaryotic (including yeast) cell lysosomes swell and increase in numbers in response to pollutants in water within 30-6

    SBIR Phase I 2019 Department of DefenseDefense Health Agency
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