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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. CHATMAN Phase II

    SBC: Stratagem Group, Inc., The            Topic: OSD221001

    Reducing the False Alarm Rate (FAR) of Automated Target Recognition (ATR) algorithms for Synthetic Aperture Radar (SAR) imagery is crucial for Intelligence, Surveillance, Reconnaissance (ISR) and precision target engagement missions. While modern Deep Learning (DL) ATR networks have demonstrated advanced predictive capabilities and generalization for SAR imagery, they lack spatial awareness, resul ...

    SBIR Phase II 2023 Department of DefenseNational Geospatial-Intelligence Agency
  2. An Innovative Mass Spectrometer to Simplify Materials Characterization for Additive Manufacturing

    SBC: EXUM INSTRUMENTS, INC.            Topic: 2

    Exum Instruments’ Massbox is a single analytical instrument that offers rapid, high-sensitivity measurements of additive manufacturing (AM) feedstock powders and printed parts. Determining chemical composition for any manufactured material is critical to understanding and predicting a part’s performance. Current methods of chemical characterization are difficult and time-consuming, requiring m ...

    SBIR Phase II 2022 Department of CommerceNational Institute of Standards and Technology
  3. Multispectral Fluorescence Sensing of Airborne Proxy Infectious Particles in Actual Indoor Environments

    SBC: RATIOCINATIVE ENGINEERING SERVICES LLC            Topic: 2

    Filtering airborne infectious particles from indoor air is a critical element in controlling the spread of disease during COVID and future pandemics that are transmitted through the air. The aim of this proposed research from Ratiocinative Engineering Services, LLC is to develop a testbed that will lead to more accessible and robust quality control testing of air filtration and ventilation systems ...

    SBIR Phase I 2022 Department of CommerceNational Institute of Standards and Technology
  4. Auto-Label SAR (AL-SAR)

    SBC: ICR, INC.            Topic: OSD221002

    Correctly labeled data is essential for training AI/ML-based automatic target recognition (ATR). The training process is all the more complicated in synthetic aperture radar (SAR) images because of their unique phenomenology, such as orientation-sensitive target signatures, layover, cross-range smearing, and radio frequency interference. New automated technology must reduce the cost and acc ...

    SBIR Phase I 2022 Department of DefenseNational Geospatial-Intelligence Agency
  5. Scene Geometry Aided Automatic Target Recognition (ATR) for Radar

    SBC: Stratagem Group, Inc., The            Topic: OSD221001

    Reducing the false alarm rate (FAR) of Automated Target Recognition (ATR) algorithms is crucial for intelligence, surveillance, reconnaissance (ISR) and precision target engagement missions. There are many contributing factors that result in higher FAR for deep learning (DL) ATR networks operating on Synthetic Aperture Radar (SAR) imagery, including: image distortions, unrepresentative target sign ...

    SBIR Phase I 2022 Department of DefenseNational Geospatial-Intelligence Agency
  6. An Innovative Mass Spectrometer to Simplify Materials Characterization for Additive Manufacturing

    SBC: EXUM INSTRUMENTS, INC.            Topic: 2

    Characterizing the chemical components of additive manufacturing feedstock powders determines the final parts’ material properties and performance. Currently, feedstock chemical characterization involves multiple analytical techniques and industry standards. Although traditional spectrometry measures both the material’s major and residual constituents, it requires a highly trained analytical c ...

    SBIR Phase I 2021 Department of CommerceNational Institute of Standards and Technology
  7. Knowledge Graph-Based Collaborative Recommender System (KCRS) for Spatio-Temporal Intelligence Documents

    SBC: NUMERICA CORPORATION            Topic: NGA191005

    US military and intelligence agencies, including the NGA, have invested significant resources in data collection and effective search and analytics tools. However, due to increasing amounts of data, finding relevant information has become more difficult. NGA analysts are often overwhelmed with data and spend too much time solving data problems rather than solving intelligence problems. Thus, there ...

    SBIR Phase II 2021 Department of DefenseNational Geospatial-Intelligence Agency
  8. CREATIVE PERCEPTION: Grey Matters’ Semi-supervised detection remote sensing prototype algorithm suite

    SBC: GREY MATTERS DEFENSE SOLUTIONS, LLC            Topic: NGA201003

    The National Geospatial Intelligence Agency (NGA) requires a state-of-the-art model to quickly find and define new target sets within ever increasing datasets. Grey Matters’ CREATIVE PERCEPTION will provide the NGA with an advanced detection algorithm suite that can be easily upgraded to new target sets with a minimum amount of labeled training data. CREATIVE PERCEPTION, based on a complex sel ...

    SBIR Phase I 2021 Department of DefenseNational Geospatial-Intelligence Agency
  9. Easy-to-use, Autonomous Bin-picking and Assembly Operations for the Manufacturing Industry

    SBC: Robotic Materials Inc.            Topic: 90

    We will develop a series of object manipulation primitives to pick up and assemble standard mechanical parts such as screws, gears and pulleys that can be configured without any programming skills. Building up on a smart robotic gripper, 3D perception and machine learning algorithms, we will design a graphical user interface that allows an user to label arbitrary 3D objects, identify assembly poin ...

    SBIR Phase II 2020 Department of CommerceNational Institute of Standards and Technology
  10. Collaborative Recommender System for Spatio-Temporal Intelligence Documents

    SBC: NUMERICA CORPORATION            Topic: NGA191005

    US military and intelligence agencies have invested significant resources in data collection and effective search and analytics tools. However, due to increasing amounts of data, finding relevant information has become more difficult. Thus, there is an important need for recommender system technology that pushes relevant un-queried data to analysts through automation and machine learning technique ...

    SBIR Phase I 2019 Department of DefenseNational Geospatial-Intelligence Agency
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