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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. Spectrum Analyzer Using Spintronic Radar Arrays

    SBC: Oleandr Scientific LLC            Topic: A16AT016

    We propose to develop a prototype of a novel spintronic spectrum analyzer using an array of nano-scale magnetic spin-torque detectors. The operation of the proposed spectrum analyzer is based on the recently discovered effects of spin-transfer torque and spin-diode effects in nano-scale magnetic multilayered elements, the fabrication of which became possible due to the recent advances in nano-fabr ...

    STTR Phase II 2018 Department of DefenseArmy
  2. SBIR Phase I: Highly Selective and Rapid Separation of RNA to Reduce Medical Diagnostic Costs

    SBC: LIFE MAGNETICS, INC.            Topic: BT

    The broader impact/commercial potential of this Small Business Innovation Research (SBIR) project is to develop technology that will substantially reduce the cost and complexity of ribonucleic acid (RNA)-based medical testing. Isolation of RNA from biological samples is the first and often the most difficult step in RNA diagnostic testing. All living things from bacteria to humans are threatened b ...

    SBIR Phase I 2018 National Science Foundation
  3. SBIR Phase I: Smart, sustainable and self-healing anticorrosive pigment additive

    SBC: SAS Nanotechnologies Inc.            Topic: CT

    This Small Business Innovation Research Phase I project will result in the development of smart, self-healing nanocapsules as anticorrosive pigment additive for commercialization of sustainable, economical and metal free acrylic, epoxy or polyurethane based anticorrosive coatings. The nanocapsule additive based anticorrosive coating will meet and exceed the performance of solvent and heavy metals ...

    SBIR Phase I 2018 National Science Foundation
  4. SBIR Phase I: Driving Timely Point-of-Care Treatment in Hospitals with a High Precision Bayesian Machine Learning Platform

    SBC: BAYESIAN HEALTH LLC            Topic: SH

    The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase I project is to provide clinical decision support software that assists inpatient providers in improving care for preventable acute inpatient harms, and thereby reduce mortality and morbidity. This grant develops a cloud-based platform that applies machine learning (ML) algorithms in real-time on data e ...

    SBIR Phase I 2018 National Science Foundation
  5. SBIR Phase I: Genomics Accelerator

    SBC: Sequal Inc.            Topic: BT

    The broader impact/commercial potential of this Small Business Innovation Research (SBIR) project is to revolutionize the healthcare industry by developing computing solutions for precision medicine. Next-Generation Sequencing (NGS) now produces a large amount of genome data at an affordable cost. Analyzing large volumes of genome data from diverse populations will lead to a better understanding o ...

    SBIR Phase I 2018 National Science Foundation
  6. SBIR Phase I: Atomic High Magnetic Field Probe

    SBC: RYDBERG TECHNOLOGIES INC            Topic: MI

    This Small Business Innovation Research (SBIR) Phase I project is focused on developing a new probe technology for high magnetic field sensing and measurement. The technology utilizes a circuit-free, atom-based field sensing element that affords absolute measurements of strong fields with high-speed all-optical readout that is free of electromagnetic interference, directly addressing capability ga ...

    SBIR Phase I 2018 National Science Foundation
  7. In Vehicle Adjustable Torsion Bar Technologies

    SBC: GS ENGINEERING INC            Topic: A17146

    In order to provide a best of both world solution to the Army which provides the simplicity, reliability and cost effectiveness of a torsion bar suspension system with the flexibility and adjustment of a more costly and complex HSU system, GS Engineering will develop an in-vehicle torsion bar adjustment device. Leveraging decades of military tracked vehicle suspension expertise and starting with t ...

    SBIR Phase I 2018 Department of DefenseArmy
  8. Combat Casualty Care Augmented Reality Intelligent Training Systems (C3ARESYS)

    SBC: SOAR TECHNOLOGY INC            Topic: A16076

    Combat Lifesavers (CLS) and Combat Medics (68W) are the first responders of the battlefield, and their training and skill maintenance is extremely important to the military. Scenario-based training is limited in how casualties and wounds are presented to trainees, and the amount of hands-on experience that trainees can get in the schoolhouse. Typically wounds are created using simple moulage that ...

    SBIR Phase II 2018 Department of DefenseArmy
  9. Innovative Rendering for Simulation

    SBC: SIGNATURE RESEARCH, INC.            Topic: A16105

    The focus of the Innovative Rendering for Simulation Phase II effort is to implement the proof-of-concept Unified Physics-based Rendering System (UPRS) in order to deliver new capabilities to the modeling and simulation community. UPRS will provide the government with a tailored HW and SW solution optimized for the specific simulation rendering needs. UPRS will be delivered as a Government Open So ...

    SBIR Phase II 2018 Department of DefenseArmy
  10. Explainable AI to support Veterans Transition Assistance Programs (XAI-VTAP)

    SBC: SOAR TECHNOLOGY INC            Topic: SB163007

    A challenge for Artificial Intelligence recommenders is explaining their reasoning to users. Humans tend to explain concepts with symbolic narratives, which contrasts the way non-symbolic machine learning represents concepts. This research addresses this challenge by grounding the research in the problem of helping transitioning veterans find relevant careers. The developed prototype will provide ...

    SBIR Phase II 2018 Department of DefenseDefense Advanced Research Projects Agency
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