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Award Data

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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. Variational Object Recognition and Grouping Network

    SBC: INTELLISENSE SYSTEMS INC            Topic: NGA181005

    To address the National Geospatial-Intelligence Agency (NGA) need for overhead imagery analysis algorithms that provide uncertaintymeasures for object recognition and aggregation, Intellisense Systems, Inc. (ISS) proposes to develop a new Variational Object Recognition andGrouping Network (VORGNet) system. It is based on the innovation of implementing a Bayesian convolutional neural network (CNN) ...

    SBIR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency
  2. Velocity Sensing Sonar for Naval Special Warfare Undersea Vehicles

    SBC: RD INSTRUMENTS            Topic: SOCOM05003

    This Phase I proposal is to establish the feasibility of developing a velocity log suited to navigation of small underwater vehicles that are required to transit to the littoral zone from deeper open ocean waters during clandestine operations. The instrument will measure three components of bottom- and water-relative velocity over a wide altitude range of less than 1 to greater than 1000 m. It w ...

    SBIR Phase I 2005 Department of DefenseSpecial Operations Command
  3. Versatile, Expandable, Strategic, and Tactical Equipment Carrier

    SBC: Physical Optics Corporation            Topic: SOCOM03011

    To meet SOCOM needs, Physical Optics Corporation (POC) proposes to develop a new Versatile, Expandable, Strategic and Tactical Equipment Carrier (VESTEC) technology to be integrated into the MOLLE (Modular Lightweight Load Carrying Equipment). The VESTEC will make the MOLLE more dynamic and lightweight, and enhance its capability. The VESTEC will be based on modular wearable connectors, adaptabl ...

    SBIR Phase I 2004 Department of DefenseSpecial Operations Command
  4. Very Shallow Water Mine Countermeasures Diver Sonar-Lidar Sensor

    SBC: Hendrickson & Associates            Topic: N/A

    N/A

    SBIR Phase I 1994 Department of DefenseSpecial Operations Command
  5. Very Shallow Water Mine Neutralization

    SBC: Pda Engineering            Topic: N/A

    One mission of the Naval Special Warfare forces is both location and neutralization of very shallow water anit-invasion mines. This proposal addresses the mine neutralization aspect of the problem. PDA has been developing high speed underwater rockets and projectiles for the past six years for the Navy, primarily under the sponsorship of the Naval Undersea Warfare Center (NUWC). The performance of ...

    SBIR Phase I 1994 Department of DefenseSpecial Operations Command
  6. VIPMobile Wearable Computer for SOF Reconnaissance Missions

    SBC: VIPMobile, Inc.            Topic: N/A

    Current systems for the covert gathering of image data by SOF are limited to still images only and present cumbersome usability problems, including numerous swapping of memory cards between cameras and computers, insertion of the data controller card, andthe need to use several programs in a standard general purpose user interface. Collection and transmission of video is currently not possible at ...

    SBIR Phase I 2003 Department of DefenseSpecial Operations Command
  7. Virgo

    SBC: SOAR TECHNOLOGY INC            Topic: SOCOM17004

    Many current approaches applying big data analytics to defensive cyberspace operations (DCO) are based on two premises: queries that find known anomalies (e.g., indicators of compromise) and/or applying machine learning to detect anomalous behavior. While some claim to predict attacks, in truth those attacks must have already been detected somewhere, characterized, and added to a knowledge base. W ...

    SBIR Phase I 2017 Department of DefenseSpecial Operations Command
  8. Wavelet-Based Approach for Signal Processing and Analysis

    SBC: Physical Optics Corporation            Topic: CBD152006

    To address CBDs need for development of analytical approaches to fuse sensor data from multiple modalities to provide common operationalpictures in threat environments, Physical Optics Corporation (POC) proposes to develop a Wavelet-based Approach for Signal Processing andAnalysis (WASP). WASP is based on novel application of wavelet-based analysis to multimodel, multidimensional data available fr ...

    SBIR Phase I 2016 Department of DefenseOffice for Chemical and Biological Defense
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