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The Award database is continually updated throughout the year. As a result, data for FY23 is not expected to be complete until September, 2024.

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. Handheld Advanced Detection/Imaging TechNlogy System

    SBC: LUNA INNOVATIONS INCORPORATED            Topic: DHS201006

    TeraMetrix is a wholly owned subsidiary of Luna InNvations Incorporated.Both TeraMetrix and Luna InNvations meet the SBIR eligibility requirements in size and Phase II conversion.We have attached Luna InNvations' registration SBC_000671230 because it includes ALL Luna employees and eliminates the question of does TeraMetrix as a subsidiary of Luna meet the size requirements. Luna as a whole, inclu ...

    SBIR Phase I 2020 Department of Homeland Security
  2. Targeted Surface Interrogation Scanning System

    SBC: INTELLISENSE SYSTEMS INC            Topic: DHS201007

    To address the DHS's need for a quick and efficient targeted surface interrogation technique to locate and detect trace residues of interest, including explosives and illicit drugs, on carry-on baggage and items, Intellisense Systems, Inc. proposes to develop a new rapid Targeted Surface Interrogation Scanning (TASIS) system, based on ultraviolet Raman spectroscopy and fast data processing/renderi ...

    SBIR Phase I 2020 Department of Homeland Security
  3. A Multi-Branch Network for Automated VNIIRS Assessment of Motion Imagery

    SBC: TOYON RESEARCH CORPORATION            Topic: NGA191003

    Due to the lack of consistency in existing automated methods for assigning VNIIRS levels to motion imagery, and the overwhelming human resources required to manually assign levels, a new method of automated/semi-automated VNIIRS assessment is needed. In recent years, advancements in deep learning have provided solutions to previously intractable computer vision problems. In many cases, automated d ...

    SBIR Phase I 2019 Department of DefenseNational Geospatial-Intelligence Agency
  4. Faster Optical Modem for Underwater Data Acquisition

    SBC: SONALYSTS INC            Topic: NGA182001

    To address NGA’s requirements, Sonalysts’ team of world-class experts in underwater optical communication proposes development and implementation of the Precision Optical Navigation Transceiver for Undersea Systems (PONTUS). PONTUS will transfer navigation information from an Underwater Navigation Beacon (UNB) to an Unmanned Undersea Vehicle (UUV) in an electromagnetic-spectrum-denied (e.g., G ...

    SBIR Phase I 2019 Department of DefenseNational Geospatial-Intelligence Agency
  5. Faster Optical Modem for Underwater Data Acquisition

    SBC: SA PHOTONICS, LLC            Topic: NGA182001

    SA Photonics’ Optical Navigation and Ranging (ONAR) system is an interrogative system that operate underwater in wavelength range of blue/green (450-540 nm) and enables navigational correction to IMU based dead reckoning navigation. The location based beacons are battery operated and have operational life span of over one year. The system is designed to operate in on demand burst mode so that no ...

    SBIR Phase I 2019 Department of DefenseNational Geospatial-Intelligence Agency
  6. Cybersecurity Peer-to-Peer Knowledge/Lessons Learned Tool

    SBC: INFERLINK CORPORATION            Topic: HSB0191006

    The increasing number of breaches and hacks against organizations demands new and more effective ways to provide defense. Currently, most defense activities, such as monitoring, analysis, forensics, and remediation are done within house. This is unfortunate because the external knowledge and experience of others outside the organization cannot easily be leveraged. Our proposal focuses on the desig ...

    SBIR Phase I 2019 Department of Homeland Security
  7. Dynamical Network Models for Mission Risk Assessment of Emergency Response Systems

    SBC: Achilles Heel Technologies, Inc            Topic: HSB0191007

    The integration of new cyber technologies in emergency response systems can allow profound improvements in system performance, but also expose the systems to systemic security and privacy risks.Thus, there is a critical need for design-time risk-assessment tools for emergency response systems, which allow evaluation and mitigation of threat impacts across their heterogeneous cyber and physical com ...

    SBIR Phase I 2019 Department of Homeland Security
  8. Power and Rechargeable Battery Interface Smart Module

    SBC: INTELLISENSE SYSTEMS INC            Topic: HSB0191003

    To address the DHS need for a module that can power/charge and provide effective power management of all on-body electronics including sensors, communications systems, and peripheral devices for all first responder mission areas, Intellisense Systems, Inc. (ISI) proposes to develop a new Power and Rechargeable Battery Interface Smart Module (PRISM). This proposed technology is based on a novel mod ...

    SBIR Phase I 2019 Department of Homeland Security
  9. Hybrid DNN-based Transfer Learning and CNN-based Supervised Learning for Object Recognition in Multi-modal Infrared Imagery

    SBC: TOYON RESEARCH CORPORATION            Topic: 1

    On this effort Toyon Research Corp. and The Pennsylvania State University are developing deep learning-based algorithms for object recognition and new class discovery in look-down infrared (IR) imagery. Our approach involves the development of a hybrid classifier that exploits both transfer learning and semi-supervised paradigms in order to maintain good generalization accuracy, especially when li ...

    STTR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
  10. Algorithms for Look-down Infrared Target Exploitation

    SBC: SIGNATURE RESEARCH, INC.            Topic: 1

    Signature Research, Inc. (SGR) and Michigan Technological University (MTU) propose a Phase I STTR effort to develop a learning algorithm which exploits the spatio-spectral characteristics inherent within IR imagery and motion imagery.Our archive of modelled and labeled data sets will allow our team to thoroughly capture the variable elements that will drive machine learning performance.The overall ...

    STTR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
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