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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. Automating tilt and roll in ground-based photos and video frames

    SBC: INTERNATIONAL ASSOCIATION OF VIRTUAL ORGANIZATIONS, INCORPORATED            Topic: NGA201006

    NGA seeks an innovation to fully automate processes that recover camera orientation parameters, specifically for ground-based “photo” (aka image) and video frame use cases. The ability to use these ground-based systems represents an enhanced aspect to traditional photogrammetry, and in many regards, folding in hand-held systems, and considering the nuances associated with these collects, is ye ...

    SBIR Phase I 2020 Department of DefenseNational Geospatial-Intelligence Agency
  2. 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
  3. SHAPE-BASED GENERALIZATION BOUNDS FOR DEEP LEARNING

    SBC: GEOMETRIC DATA ANALYTICS INC.            Topic: NGA20A001

    We propose to develop a theoretical understanding of the relationship between intrinsic geometric structure in both training and latent data and characteristics of functions learned from that data for deep neural network (DNN) architectures. Along the way we propose to also understand the structure of the neural networks that are best trained on a given data set. Both of these theories will lead t ...

    STTR Phase I 2020 Department of DefenseNational Geospatial-Intelligence Agency
  4. 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
  5. 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
  6. Multi-FMV Fusion 3D Capability

    SBC: TOYON RESEARCH CORPORATION            Topic: SOCOM201003

    Toyon Research Corp. proposes a feasibility study including all promising techniques for enabling SOCOM’s desired Multi-FMV Fusion 3D Capability, which is intended to reduce operator cognitive burden and enhance multi-source surveillance data exploitation. Key topics to consider include multi-platform FMV registration and fusion, 3D model reconstruction, fused video rendering, and artificial int ...

    SBIR Phase I 2020 Department of DefenseSpecial Operations Command
  7. Hardened Encryption Routing to Mitigate External Susceptibility

    SBC: Physical Optics Corporation            Topic: DHS201001

    To address the DHS's need for security of multimedia messages from the public to the Next Generation 9-1-1 (NG9-1-1) Public Safety Answering Point (PSAP) Emergency Communications Cybersecurity Center (EC3) within NG9-1-1 Emergency Service Internet Protocol Networks (ESINets), Physical Optics Corporation (POC) proposes to develop a new Hardened Encryption Routing to Mitigate External Susceptibility ...

    SBIR Phase I 2020 Department of Homeland Security
  8. Blockchain-based Anti-Spoofing and Integrity Protection

    SBC: INTELLISENSE SYSTEMS INC            Topic: DHS201002

    To address the DHS need for new remote sensor data protection and anti-spoofing techniques, Intellisense Systems, Inc. proposes to develop a new Blockchain-based Anti-Spoofing and Integrity Protection (BASIP) system. This proposed BASIP is based on redactable blockchain-based data protection and challenge-response-based spoof detection. The BASIP will offer high resilience to sensor spoofing and m ...

    SBIR Phase I 2020 Department of Homeland Security
  9. Emergency Digital Paging over Public Television (eDPPT)

    SBC: DEVICE SOLUTIONS INC            Topic: DHS201003

    Device Solutions (DS) and the Wireless Research Center (WRC) are teaming to create a development plan for inNvative digital paging for emergency responders using public television ATSC 3.0.Leveraging open standards, broadcast and public safety infrastructure, modern network devices, and new wireless electronics, our approach will provide responders and incident commanders with improved pager cover ...

    SBIR Phase I 2020 Department of Homeland Security
  10. Soft Targets and Crowded Places Security

    SBC: KARAGOZIAN & CASE, INC.            Topic: DHS201004

    To address the Department of Homeland Security (DHS) Cybersecurity and Infrastructure Security Agency (CISA) requirements and strategic intent, Karagozian and Case, Inc. (K&C) proposes to develop a SECURITY MITIGATION ASSESMENT OF RISKS AND THREATS (SMART) software application for SOFT TARGETS AND CROWDED PLACES (ST-CP) which leverages advanced Geographical Information Systems (GIS) mapping softwa ...

    SBIR Phase I 2020 Department of Homeland Security
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