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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. Enhance Full-Waveform Inversion with Machine Learned Low-Frequency Signals

    SBC: ADVANCED GEOPHYSICAL TECHNOLOGY INC            Topic: 21b

    Novel discoveries are going to prove essential for attaining a significant percentage of oil output rather than solely depending on existing fields to keep up with the energy demanding of the United States. As one of the critical sectors of Exploration and Production, seismic surveys are used to produce detailed images of local geology to determine the location and size of possible oil and gas res ...

    STTR Phase I 2019 Department of Energy
  2. Scanning Tunneling Microscope based Hydrogen Depassivation Lithography Automation Via Artificial Intelligence

    SBC: ZYVEX LABS, LLC            Topic: 16a

    Atomically Precise Manufacturing will bring enormous energy savings through improved efficiency in power generation and use, via light weighting, reduced friction and wear, and a host of other improvements in materials and active mechanisms. Atomically Precise Manufacturing will bring considerable benefit to our technology, economy, and standard of living. However, significant technological develo ...

    STTR Phase I 2019 Department of Energy
  3. Cervical Spine Health Improvement Products

    SBC: SWITCHBOX INC            Topic: DHA18B001

    Most standard-of-care tools and techniques for evaluating neck disorders are subjective, unreliable, and do not provide actionable information for providers, payers, and organizations to deliver efficient and effective care. This lack of objective neck he

    STTR Phase I 2019 Department of DefenseDefense Health Agency
  4. Principled Design of an Augmented Reality Trainer for Medics

    SBC: UNVEIL LLC            Topic: DHP17A003

    Augmented reality (AR) offers the ability to enhance existing combat medic training by including perceptual cues and adaptive training elements to traditional simulation-based training using manikins. Unveil has developed a training system called the Macrocognitive AR Trainer (MART). MART is designed to foster the development of macrocognitive skills (e.g., sensemaking, assessment skills, mental m ...

    STTR Phase II 2018 Department of DefenseDefense Health Agency
  5. Free Piston Linear Motor Whole Air Compressor for Treaty Monitoring

    SBC: KAI, LLC            Topic: 04a

    Under the Department of Energy’s Ground-based Nuclear Detonation Research and Development (GNDD R&D) Program, the Air Force Technical Application’s Center (AFTAC) monitors for nuclear explosions through high altitude whole-air gas sampling using compressors to inject air into a high-flow air stream or store in a high-pressure vessel. The existing compressors have proven reliability issues with ...

    STTR Phase II 2018 Department of Energy
  6. Medical Electro-Textile Sensor Simulation

    SBC: LR TECHNOLOGIES, Inc.            Topic: DHP17A001

    In this topic, we plan to design a vital EMF sensor to work under any conditions. The sensor will be integrated with smart clothing and using e-textile materials.

    STTR Phase II 2018 Department of DefenseDefense Health Agency
  7. Medical Device to Assess the Viability of Tissue Prior to Skin Grafting

    SBC: Spectral Md, Inc.            Topic: DHP17A006

    The primary objective of this Phase II proposal is to construct and validate the portable SpectralMD DeepView imaging technology designed previously in Phase I. This device allows surgeons to quickly and objectively assess tissue viability in burn surgery prior to skin grafting. DeepView uses machine learning and multispectral imaging to generate quantitative prognostic images with easily interpre ...

    STTR Phase II 2018 Department of DefenseDefense Health Agency
  8. Dynamic virtual moulage based on thin film adhesive displays

    SBC: ARCHIE MD INC.            Topic: DHA17A002

    Providing Army combat medics with meaningful experience in treatment of battlefield injuries is a particular challenge. Moulage has the potential to assist in acquiring what could otherwise be very hard-to-come-by preparatory experience for distressing real-life emergencies medics and soldiers may encounter in the field. However, current approaches to moulage are limited in their ability to reflec ...

    STTR Phase II 2018 Department of DefenseDefense Health Agency
  9. Biologically Inspired Ammonia Production with Immobilized Nitrogenase

    SBC: FULCRUM BIOSCIENCE, LLC            Topic: 08c

    Ammonia is a critical component of the US economy as US agricultural exports exceeded $100BB in 2015 and depend heavily on ammonia fertilizers. Ammonia production consumes 1% of the world’s total energy supply and millions of tons are imported each year. An innovative bioelectrocatalyzed process is being developed using immobilized mutated nitrogenase enzymes to directly convert atmospheric ni ...

    STTR Phase II 2018 Department of Energy
  10. Fidelity Enhancement of Nuclear Power Plant Simulators Utilizing High Fidelity Simulation Predictions

    SBC: WESTERN SERVICES CORPORATION            Topic: 30c

    Accurate simulation of nuclear power plant behavior is necessary for both engineering and training applications. An engineering grade simulator, used for design, safety analysis and operations, is characterized by high fidelity, computational power, lack of real-time capability, and user non-interactive environment. By contrast, a training grade simulator, used for operator training and education, ...

    STTR Phase I 2018 Department of Energy
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