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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. Metabolite Reference Standards to Normalize Spatial Metabolomics Across Tissue Sections

    SBC: SYGNAMAP INC            Topic: 1

    Advances in spatial metabolomic analysis of tissue biopsies using MALDI-MSI now enable the identification of numerous biochemical pathways as signatures of specific histopathology features. However, the lack of reproducibility across experimental studies without a common internal standard limits the application of MALDIMSI for drug development. SygnaMap is developing MSI-DeepPath as an innovative ...

    SBIR Phase I 2023 Department of CommerceNational Institute of Standards and Technology
  2. Printable Dielectric for Flexible Hybrid Electronics

    SBC: ChemCubed, LLC            Topic: 2

    The goal for this Phase I research is to develop a stretchable dielectric ink that can be used for flexible applications. Printing electronics is a new and quickly growing alternative to traditionally manufactured electronics. Flexible hybrid electronics (FHE) is a novel approach to electronic circuit manufacturing that aims to combine the best of printed and conventional electronics. FHE devices ...

    SBIR Phase I 2023 Department of CommerceNational Institute of Standards and Technology
  3. A Novel Advanced Manufacturing Pathway for Direct Incorporation of Metal-Organic Frameworks in Polymeric Sponges

    SBC: FRAMERGY INC            Topic: 2

    For this project, the team at Framergy, Inc. in partnership with Texas A&M University (TAMU), will analyze the feasibility of post-synthetic incorporation of metal-organic frameworks (MOFs) into polymer composites. This manufacturing method has the distinct advantage of eliminating the synthesis optimization that is often needed in in-situ growth methodologies, while also allowing for a higher de ...

    SBIR Phase I 2023 Department of CommerceNational Institute of Standards and Technology
  4. Proposed Project Title Atlantis AI Based Long Range Space Weather Prediction System

    SBC: Atlantis Industries, Inc.            Topic: 95

    To date, no realizable method of predicting the occurrence or magnitude of a Solar Energetic Particle (SEP) event has been developed. There are multiple models currently available in the Community Coordinated Modeling Center (CCMC) through Goddard Space Flight Center that attempt to provide timely and accurate event propagation (e.g.MAG4, Enlil, and SEPMOD). None of these have yet achieved the goa ...

    SBIR Phase I 2023 Department of CommerceNational Oceanic and Atmospheric Administration
  5. Artificial Intelligence (AI) based algorithms for predictive maintenance using NOAA data-sets for renewable energy assets

    SBC: 60Hertz Incorporated            Topic: 92

    We propose to use Aerosol Optical Depth (AOD) measurements as an early warning system, to cue on-site validation of the soiling station and any available meteorological (MET) station data to validate if a work order to clean deposited particulate matter is necessary. This would move from reactive maintenance – often weeks delayed, to proactive maintenance – getting ahead of the weather impact ...

    SBIR Phase I 2022 Department of CommerceNational Oceanic and Atmospheric Administration
  6. Accelerated in-situ analysis of multi-dimensional data

    SBC: AIRMETTLE INC            Topic: 91

    The massive volumes of multi-dimensional array-oriented data generated by NOAA programs and the scientific community at large are predominantly stored in industry standard Network Common Data Form (NetCDF). Key challenges exist in making use of data stored in netCDF: data sets are often too large to be copied and transferred across networks for every user, and each time data is accessed by an anal ...

    SBIR Phase I 2022 Department of CommerceNational Oceanic and Atmospheric Administration
  7. Nanocomposite Dielectric Material for Energy Efficient Manufacturing of Printed Circuitry

    SBC: CHEM3 LLC            Topic: 2

    There is tremendous potential to manufacture printed electronics in a more sustainable, flexible, faster, and less costly way. Printing electronics results in less contaminated water from copper etching, the ability to change designs immediately on the production line, and less labor. Yet, despite encouraging prior Proof of Concept (POC) work, advances in materials are required for scalable manufa ...

    SBIR Phase I 2021 Department of CommerceNational Institute of Standards and Technology
  8. Nano-Electro-Mechanical-Systems Probe for Thin Film Materials Characterization

    SBC: XALLENT INC.            Topic: 2

    The ability to quickly test materials during new technology development would provide actionable insight that would significantly reduce materials and device design iterations and accelerate time-to-market by up to three months. However, conventional characterization and test methods are increasingly ineffective when applied to structures less than 100 nanometers, causing challenges across R&D, pr ...

    SBIR Phase I 2021 Department of CommerceNational Institute of Standards and Technology
  9. An Optical Imaging System to Characterize Mechanical Deformation at Microscopic Length Scale

    SBC: ADDITIVE MANUFACTURING INNOVATIONS LLC            Topic: 90

    Additive Manufacturing Innovations LLC (AM-Innov) in collaboration with Clarkson University and Naval Research Laboratory (NRL) proposes a new optical imaging system to characterize microscopic deformation of materials. The system, named as a Mechanical Testing at Microscale system (MT@micro), uses a micro-tensile testing device to mechanically load the specimen uniaxially and an optical imaging p ...

    SBIR Phase I 2020 Department of CommerceNational Institute of Standards and Technology
  10. Standardizing Grease Sampling and Characterization By Automated Online Device

    SBC: POSEIDON SYSTEMS, LLC            Topic: 90

    Scheduled grease sampling is one of the more reliable methods for detecting mechanical issues within machinery. Offline laboratory‐based analysis of the grease can indicate component failures, such as spalling via high concentrations of ferrous particulates. However, consistency, costs, and frequency of sampling are less than ideal. Manually collecting grease samples can put personnel in danger ...

    SBIR Phase I 2020 Department of CommerceNational Institute of Standards and Technology
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