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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. Learning traffic camera locations using vehicle re-identification

    SBC: Arete Associates            Topic: NGA201005

    In its effort to provide necessary intelligence and analysis, the National Geospatial-Intelligence Agency (NGA) utilizes extensive traffic camera systems. However, the large amount of data overwhelms both analysts and existing processing methods. In order to provide a better understanding and reduce the search space for common problems such as target tracking, it is necessary to extract the camera ...

    SBIR Phase I 2020 Department of DefenseNational Geospatial-Intelligence Agency
  2. Bounding generalization risk for Deep Neural Networks

    SBC: Euler Scientific            Topic: NGA20A001

    Deep Neural Networks have become ubiquitous in the modern analysis of voluminous datasets with geometric symmetries. In the field of Particle Physics, experiments such as DUNE require the detection of particle signatures interacting within the detector, with analyses of over a billion 3D event images per channel each year; with typical setups containing over 150,000 different channels.  In an ...

    STTR Phase I 2020 Department of DefenseNational Geospatial-Intelligence Agency
  3. Handheld Hidden Chamber Detection

    SBC: TIALINX, INC.            Topic: SOCOM173004

    TiaLinx’s Proposed Eagle10-W is an ultra-wideband (“UWB”) radio frequency (RF) sensor that uses advanced computer vision algorithms, state-of-the-art computer processor technologies, and has a fully integrated display unit.

    SBIR Phase II 2020 Department of DefenseSpecial Operations Command
  4. Dynamical Network Models for Holistic Risk Management in Next-Generation 911 Systems

    SBC: Achilles Heel Technologies, Inc            Topic: HSB0191007

    The Next-Generation 911 (NG911) initiative, which aims to update the United States' emergency communications systems to be Internet Protocol-based, should bring about profound benefits in system usability and resilience. However, there is great concern that NG911 systems will be highly vulnerable to cyber- risks, both because the increased accessibility provided by the system increases likelihood ...

    SBIR Phase II 2020 Department of Homeland Security
  5. Cybersecurity Peer-to-Peer KNwledge/Lessons Learned Tool

    SBC: INFERLINK CORP            Topic: HSB0191006

    The increasing number of breaches and hacks against organizations demands new and more effective ways to provide defense. Increased kNwledge sharing among peers could make a tremendous difference in improving current practices, especially since the cyber landscape is a dynamically changing environment. Our goal is to develop an effective peer-to-peer platform for sharing cybersecurity kNwledge and ...

    SBIR Phase II 2020 Department of Homeland Security
  6. 9-1-1 Network Modeling Based Upon PARIDINE Model

    SBC: SECURELOGIX CORPORATION            Topic: HSB0191007

    SecureLogix is a current performer on the PARIDINE project and is focused on defining and detecting attacks such as Telephony Denial of Service (TDoS) and other call pattern-based attacks against 9-1-1 networks. Our approach is to enhance our cloud-based Orchestra One Call Authentication Service (CAS), extending its inherent authentication and spoofing detection capabilities, with the ability to u ...

    SBIR Phase II 2020 Department of Homeland Security
  7. Automated Assessment of Urban Environment Degradation for Disaster Relief and Reconstruction

    SBC: TOYON RESEARCH CORPORATION            Topic: NGA181004

    Toyon Research Corp. proposes development of a software prototype for automated 3D damage assessment in urban environments. We will document the requirements for the algorithms and software, and optimize or extend the algorithms as needed. We will implement the software prototype, leveraging and integrating existing components where possible and implementing new components as needed. We will qua ...

    SBIR Phase II 2020 Department of DefenseNational Geospatial-Intelligence Agency
  8. Low-shot Using Contextual Knowledge and Ephemeral Search Hierarchy for One-shot Targets (LUCK E SHOT) in Remote Sensing Imagery

    SBC: TOYON RESEARCH CORPORATION            Topic: NGA181010

    At a high level, the primary technical objective of the proposed effort is to Identify, obtain, evaluate, and improve datasets; Investigate the use of Meta-Learning to improve the low-shot detection performance of the feed forward network;   Extend research in multi-branch multi-domain embedding networks and semantic layouts for low-shot detection in remote sensing imagery; and Develop and implem ...

    SBIR Phase II 2020 Department of DefenseNational Geospatial-Intelligence Agency
  9. Automatic Target Acquisition & Aim-Point Selection for Small Arms

    SBC: OPTO-KNOWLEDGE SYSTEMS INC            Topic: OSD173J02

    The Army is seeking next-generation automatic target detection, recognition, identification, masking, tracking, and aim-point selection tools for small caliber weapons systems borne by dismounted soldiers to improve warfighter effectiveness. Accordingly, OKSI has proposed implementing state-of-the-art machine learning tools (e.g., deep learning) on ultra-low SWaP modern processors (e.g., Nvidia TX ...

    SBIR Phase II 2020 Department of DefenseOffice of the Secretary of Defense
  10. Algorithms for Look-down Infrared Target Exploitation

    SBC: SIGNATURE RESEARCH, INC.            Topic: NGA18A001

    The multidisciplinary area of GEOINT is changing and becoming more complex. A major driver of innovation in GEOINT collection and processing is artificial intelligence (AI). AI is being leveraged to help accomplish spatial analysis, change detection, and image or video triage tasks where filtering objects of interest from large volumes of data is critical. NGA is confronting the changing GEOINT l ...

    STTR Phase II 2020 Department of DefenseNational Geospatial-Intelligence Agency
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