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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. Low-cost Diagnostic for Animal and Zoonotic Diseases

    SBC: TDA RESEARCH, INC.            Topic: DHS221011

    There is a lack of specific, low-cost, rapid, sensitive, fieldable detection systems for animal/zoonotic disease that can simultaneously test for multiple diseases in a single test. State of the art field-detection kits for animal diseases consist mainly of ELISA test kits and PCR devices. However, both these techniques can only test for a single disease per test, thus screening for multiple disea ...

    SBIR Phase II 2023 Department of Homeland SecurityCountering Weapons of Mass Destruction
  3. Low-cost Diagnostic for Animal and Zoonotic Diseases

    SBC: TDA RESEARCH, INC.            Topic: DHS221011

    There is a lack of specific, low-cost, rapid, sensitive, fieldable detection systems for animal/zoonotic disease that can simultaneously test for multiple diseases in a single test. State of the art field-detection kits for animal diseases consist mainly of ELISA test kits and PCR devices. However, both these techniques can only test for a single disease per test, thus screening for multiple disea ...

    SBIR Phase I 2022 Department of Homeland SecurityCountering Weapons of Mass Destruction
  4. Embedded Credential Protector (ECP) for Frontline Credential Verification

    SBC: INTELLIGENT PAYLOAD SOLUTIONS, INC.            Topic: DHS211008

    Department of Homeland Security (DHS) frontline personnel face enormous challenges to identify counterfeit State licenses in an operational setting. With printing technology continuing to advance and become more affordable, it is no surprise that United States Customs and Border Protection (CBP) Fraud Document Analysis Unit (FDAU) has seized an exponentially increasing number of high-quality count ...

    SBIR Phase II 2022 Department of Homeland Security
  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. 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
  7. Intelligent Document Fingerprint for Frontline Credential Verification

    SBC: INTELLIGENT PAYLOAD SOLUTIONS, INC.            Topic: DHS211008

    Department of Homeland Security (DHS) frontline personnel face enormous challenges to identify counterfeit State licenses in an operational setting.Visible and covert security features have been replicated and simulated by counterfeiters, so they do not appear anomalous.Intelligent Payload Solutions has developed an Intelligent Document Fingerprint (IDF) that can be added to existing State and oth ...

    SBIR Phase I 2021 Department of Homeland Security
  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. 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
  10. Condensation and CANARY: A Multiplex Bioaerosol Threat Detector

    SBC: AEROSOL DEVICES INC            Topic: DHS211011

    Bioaerosols, including viruses, bacteria and toxins, are a threat to human life, socioeconomic stability and national security.A sensitive, accurate, field-deployable detection system capable of rapidly identifying multiple aerosolized pathogens would be a strong defense, but collecting a representative sample of all relevant airborne particles can be challenging because biological particles range ...

    SBIR Phase I 2021 Department of Homeland SecurityCountering Weapons of Mass Destruction
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