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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. 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
  3. 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
  4. 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
  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. 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
  7. 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
  8. 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
  9. 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
  10. Internet of RAD Things: Multi-Detector Edge Intelligence for Integrated Sensor Networks

    SBC: BLUEYEQ LLC            Topic: HSB0191009

    BluEyeQ LLC and Los Alamos National Laboratory are pleased to propose an interoperable network of Internet of Things (IoT) enabled CBRNE detectors.With the emergence of high performance, low cost networking equipment and Big Data cloud analytics, the opportunity exists to harness the vision and intelligence available from distributed sensor data.Our proposal demonstrates a path to modernize past C ...

    SBIR Phase II 2020 Department of Homeland SecurityCountering Weapons of Mass Destruction
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