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Award Data

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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. Nanostasis Intravenous Agent for Traumatic Hemorrhage Control

    SBC: CRITICAL INNOVATIONS LLC            Topic: A18062

    The U.S. Army seeks to develop a novel systemic therapy for out-of-hospital management of combat-associated, non-compressible traumatic hemorrhage starting at the point-of-injury through en route care. Critical Innovations, Cayuga Biotech, Charles River, and consultants Captain David Tanen MD, FAAEM, FACMT (USN, Ret.), former Commander Denise Whitfield, MD, FACEP, and William David McGuinn, Jr., M ...

    SBIR Phase II 2019 Department of DefenseArmy
  2. Visor Projection Aviation Head-Mounted Display

    SBC: INTELLISENSE SYSTEMS INC            Topic: A18089

    To address the Army need for a next generation sunlight-readable head-up display (HUD), Intellisense Systems, Inc. (ISI) proposes, in Phase II, to advance the new Visor Projection Aviation Head-Mounted Display (VIPA-HMD), which was proven highly feasible in Phase I. The system is based on an innovative modular design modification of a commercially available miniature laser pico projector to produc ...

    SBIR Phase II 2019 Department of DefenseArmy
  3. Advanced UAV and Mortar Target Detection and Tracking Algorithms for Low Signal-to-Noise Ratio and Cluttered Environments

    SBC: Arete Associates            Topic: A17102

    In this work, Areté Associates proposes to extend its long history of tracking and detection solutions to meet the challenge of tracking small and dim targets in high-clutter environments using a mid-wave infrared (MWIR) sensor coupled with innovative detection algorithms and processing. We present a track-before-detect, signal-integration approach that merges the functionality of Areté’s prov ...

    SBIR Phase II 2019 Department of DefenseArmy
  4. Low-Shot Detection in Remote Sensing Imagery

    SBC: TOYON RESEARCH CORPORATION            Topic: NGA172002

    Toyon Research Corporation proposes to develop algorithms that improve the precision and recall of neural networks for low-shot object classification and detection. Our approach is based upon developing a descriptive multi-domain feature representation of the low-shot target as well as the surrounding context. A multi-branch neural network merges the various domains of information to perform accur ...

    SBIR Phase II 2019 Department of DefenseNational Geospatial-Intelligence Agency
  5. Generalized Change Detection to Cue Regions of Interest

    SBC: TOYON RESEARCH CORPORATION            Topic: NGA181006

    Toyon proposes to research and develop algorithms for generalized salient change detection, and to incorporate these algorithms into software tools implemented on the cloud. Our approach leverages the two most promising methods from Phase I, both based on supervised learning. The first method is the entropy-based feature vector and corresponding neural network, which we will apply at a coarse sear ...

    SBIR Phase II 2019 Department of DefenseNational Geospatial-Intelligence Agency
  6. Next Generation Encrypted Wireless Intercom Waveform

    SBC: DIRAC SOLUTIONS, INC.            Topic: A17144

    During the ongoing Army Phase I SBIR, Dirac Solutions Inc. (DSI) has successfully developed prototype RF transceivers based on advanced pulse based wideband (WB) and software-defined-radio (SDR) technologies. DSI’s novel pulse based WB wireless video communications system permitted DSI to perform RF waveform design to address the Army’s need for reliable wireless video links in the presence of ...

    SBIR Phase II 2019 Department of DefenseArmy
  7. Survivability Equipment Exploitation for Awareness in Flight of Terrain (SEE-AFT).

    SBC: OPTO-KNOWLEDGE SYSTEMS INC            Topic: A18002

    The Army requires greater Situational Awareness (SA) for the aircrews of rotorcraft. Currently, there is no system in place to provide the aircrew with visibility into the ‘blind spots’ that exist below and behind the aircraft. OKSI proposes an innovative multi-frame super-resolution (MFSR) solution to address this need by exploiting low-resolution, high-rate imagery from existing Aircraft Sur ...

    SBIR Phase II 2019 Department of DefenseArmy
  8. UGV Electromagnetic Environment Interrogation and Exploitation

    SBC: TOYON RESEARCH CORPORATION            Topic: A17134

    Unsecured areas contain multiple threats. These threats include unknown radio frequency (RF) transmissions in the 2 MHz to 6 GHz frequency range. To assist in securing the area, there is a desire to detect, identify, locate, and potentially disrupt these RF transmissions. Due to the physical threats in the environment, a solution that can provide intelligence of the RF transmissions via an unmanne ...

    SBIR Phase II 2019 Department of DefenseArmy
  9. Transforming 3D Reconnaissance Data into Geospatial Intelligence

    SBC: OPTO-KNOWLEDGE SYSTEMS INC            Topic: A18015

    UAS platforms are required to operate within urban canyons and other GPS-denied/degraded environments. Navigation within such denied environments carries with it the potential for large communication and computation overheads. More specifically, the sUAS platforms may need to download full or partial 3D maps over the communication network in real-time, and then utilize these maps for navigation vi ...

    SBIR Phase II 2019 Department of DefenseArmy
  10. Advanced Image Segmentation for Radar Imagery

    SBC: ELECTROMAGNETIC SYSTEMS, INC.            Topic: NGA172004

    Implement methods to improve our Phase I architecture for complex SAR imagery collected from different systems and with different collection parameters. Implement techniques to boost performance across all ground features of interest. Reduce the amount of human intervention needed for training our SAR image segmentation architecture.  SAR segmentation can be applied to a number of areas: Intellig ...

    SBIR Phase II 2019 Department of DefenseNational Geospatial-Intelligence Agency
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