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The Award database is continually updated throughout the year. As a result, data for FY20 is not expected to be complete until September, 2021.

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.

  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. Pyrocast: Wildfire Forecasting & Data Services

    SBC: Reax Engineering, Inc.            Topic: 90

    This work will develop a real-time wildfire forecast system that automatically detects and forecasts the spread of every fire in the Continental US and updates each forecast in real-time as additional information becomes available. Fire forecast data, which are generated “in the cloud” using high performance computing resources, are transferred to a web server hosting a mobile-friendly web map ...

    SBIR Phase I 2020 Department of CommerceNational Institute of Standards and Technology
  4. High-Precision TEM Topography Mapping

    SBC: NANOELECTRONIC IMAGING, INC.            Topic: 90

    NanoElectronic Imaging, Inc. (NEI) is developing techniques for mapping signals in the transmission electron microscope (TEM) that are normally inaccessible. In this Phase I SBIR project, NEI will build on preliminary results to develop a quantitative, TEM-based topographic mapping technique with the potential for atomic resolution in all three spatial dimensions. This precision would be akin to a ...

    SBIR Phase I 2020 Department of CommerceNational Institute of Standards and Technology
  5. Feasibility of Using a High-speed AI-driven Experimental Platform to Develop an Optimized DNA Template for Cell-free Protein Expression

    SBC: BigHat Biosciences, Inc.            Topic: 90

    We propose to demonstrate the feasibility of using a high-speed artificial intelligence (AI)-driven experimental platformto optimize the DNA template for cell-free protein synthesis (CFPS) to maximize protein expression. Our platform isdesigned to rapidly find an optimal DNA sequence among millions of possible sequences through repeated designbuild-test cycles: AI is used to design the DNA templat ...

    SBIR Phase I 2020 Department of CommerceNational Institute of Standards and Technology
  6. Advanced Measurement Probe System for Non-Nulling Velocity Testing

    SBC: AIRFLOW SCIENCES CORPORATION            Topic: 90

    Industrial facilities and power plants that burn fossil fuels exhaust the combustion products to atmosphere through their smokestacks. Stack pollutant emissions are quantified using manual testing method developed in the 1960s, which are prone to error due to biases from human operators and any non-axial flow in a stack.NIST has been working on an improved technique of performing 3D flow testing f ...

    SBIR Phase I 2020 Department of CommerceNational Institute of Standards and Technology
  7. Continuous Monitoring of Natural Gas Infrastructure for Increased Community Resilience using Voltammetric Sensors

    SBC: FULLMOON SENSORS, INC.            Topic: None

    Fullmoon has the first chip-level sensors capable of identifying and quantifying molecules in the air. At the core of our technology are printed voltammetric sensors, which are operated using cyclic voltammetry, an electrochemical technique that probes for the redox potential, a unique signature of molecules. We have demonstrated this sensing principle for the detection of carbon monoxide and meth ...

    SBIR Phase I 2019 Department of CommerceNational Institute of Standards and Technology
  8. Advanced Instrumentation for Non-Nulling Stack Velocity Testing

    SBC: AIRFLOW SCIENCES CORPORATION            Topic: None

    Industrial facilities, manufacturing plants, and electric power plants that burn fossil fuels exhaust the combustion products to atmosphere through their smokestacks. Stack pollutant emissions are quantified using manual testing methods developed in the 1960s, which are prone to error if non-axial flow exists in a stack.Recently, NIST has been working on an improved technique of performing 3D flow ...

    SBIR Phase I 2019 Department of CommerceNational Institute of Standards and Technology
  9. Development of a Neutron-based Nondestructive Test Method for Concrete Petrography and Chemical Analysis

    SBC: TOURNEY CONSULTING GROUP, LLC            Topic: None

    To evaluate the technical feasibility of prompt gamma neutron activation (PGAA) as an alternative to a set of standard destructive tests of concrete petrography including aggregate type, water/cement ratio, aggregate/binder ratio, density, chloride content and chloride bulk diffusion constant; and to determine the specifications for the design of a dedicated commercial laboratory-based PGAA facili ...

    SBIR Phase I 2019 Department of CommerceNational Institute of Standards and Technology
  10. 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
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