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Award Data

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The Award database is continually updated throughout the year. As a result, data for FY20 is not expected to be complete until September, 2021.

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.

  1. sHLA Protein Chip

    SBC: GENOMICS USA, INC.            Topic: NIAID

    Abstract: “sHLA Protein Chip” The class I [A, B, C] and class II HLA proteins [DRB1, DQ, DP] comprise the heart of the inducible human immune system. For organ, marrow and stem cell transplantation, the development of serum-born antibodies against one or more of those many HLA proteins comprises the best and earliest test for transplant rejection. Because of the enormous medical importance of ...

    SBIR Phase II 2018 Department of Health and Human ServicesNational Institutes of Health
  2. Reverse Engineering Technical Data Packages for Development of Alternate Sources of Supply for DLA NSNs

    SBC: ORBIS SIBRO, INC.            Topic: DLA171002

    ORBIS proposes to Address SBIR DLA171-002 by developing efficient and effective processes to reverse engineer RPPOB Candidate Items. ORBIS has a wealth of experience in supporting DoD systems and components and is well suited to addressing the backlog of unsupported equipment .

    SBIR Phase I 2018 Department of DefenseDefense Logistics Agency
  3. Airborne Radar Conflict Avoidance for Triton and Fire Scout

    SBC: RDRTec Incorporated            Topic: N13AT003

    RDRTec’s RACAS’s Active Element Scanned Array design approach to meet collision avoidance performance, SWaPC and cost goals utilizes RDRTec’s unique array topology.RDRTec has been developing, enhancing, and extending the Common Radar Airborne Collision Avoidance System (C-RACAS) and associated modeling and simulation tools for non-cooperative conflict avoidance for both Triton and Fire Scout ...

    SBIR Phase II 2018 Department of DefenseNavy
  4. Rotator Detection & Exploitation Algorithms Development as an Extension of the Maritime Classification Aids (MCA) Toolkit

    SBC: RDRTec Incorporated            Topic: N161018

    MCA is an innovative combination of maritime feature extraction algorithms, target database, and user interface that aid operators in rapidly and effectively classify maritime targets. To date MCA has exploited scattering features that are the result of scattering off static (non-rotating) ship structure returns as well as wake returns in Inverse Synthetic Aperture Radar (ISAR) and High Range Reso ...

    SBIR Phase II 2018 Department of DefenseNavy
  5. 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
  6. 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
  7. 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
  8. SBIR Phase I: Optical Delivery System for In Situ Heating and Excitation in the Transmission Electron Microscope

    SBC: Waviks, Inc.            Topic: MI

    This Small Business Innovation Research Phase I project will develop an optical delivery system compatible with a transmission electron microscope (TEM) that will facilitate atomic-scale imaging and characterization at high-temperatures and excited states. The most critical and far-reaching broader impact of the proposed system is the new science/discovery that it will enable. Imaging and characte ...

    SBIR Phase I 2018 National Science Foundation
  9. SBIR Phase I: A software product that empowers healthcare teams with community resource information and facilitates post-treatment care coordination.

    SBC: Medical Innovators Company, LLC            Topic: SH

    The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase I project will be to develop and test feasibility of a web-based software and machine learning technology that is able to empower healthcare teams with community resource information as well as facilitate coordination of post-treatment care. Lack of access to community resources such as housing, food an ...

    SBIR Phase I 2018 National Science Foundation
  10. SBIR Phase I: Processor Architecture for Radically Improved Performance and Energy Efficiency on Sparse Machine Learning

    SBC: Revolution Computing Incorporated            Topic: S

    The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase I project is to expand the capability of modern computer systems to execute machine learning applications and enable new uses of machine learning in the everyday lives of people.  Due to widespread success, machine learning is being applied to automate tasks across most modern businesses.  However, t ...

    SBIR Phase I 2018 National Science Foundation
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