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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. Distributed Coherent Communications

    SBC: VADUM INC            Topic: SB162008

    Vadum will develop and simulate a new communications protocol for Distributed Coherent Beamforming (DCB) that will implement bi-directional distributed TX and RX beamforming algorithms between two or more groups of wireless nodes with no prior spatial awareness (i.e. GPS not required). The Vadum approach uses an innovative Master-Slave architecture to implicitly achieve frequency and timing synchr ...

    SBIR Phase I 2016 Department of DefenseDefense Advanced Research Projects Agency
  2. High Performance, Semi-Solid Monopropellant for Advanced Low Cost Expendable Launch Vehicles

    SBC: PHYSICAL SCIENCES INC.            Topic: SB152008

    Physical Sciences Inc. proposes to demonstrate and quantify a novel, safe, high density impulse, green storable liquid propellant in a rocket engine. This new propellant formulation can be treated as a monopropellant or as a bipropellant system with predicted specific impulse and density specific impulses exceeding NTO/MMH performance. The liquid propellant will allow for low-cost operability of h ...

    SBIR Phase II 2016 Department of DefenseDefense Advanced Research Projects Agency
  3. Compact, Configurable, Real-Time Infrared Hyperspectral Imaging System

    SBC: SPECTRAL SCIENCES, INC            Topic: SB152006

    Spectral Sciences Inc. (SSI) proposes to address the need for real-time re-configurable infrared hyperspectral imaging (HSI) sensor by developing the Configurable ON-Demand Optical Reconnaissance (CONDOR) sensor, optimized to satisfy multiple-mission requirements through highly adaptive target detection, classification and tracking. The CONDOR sensor features programmable hardware enabling on-the- ...

    SBIR Phase II 2016 Department of DefenseDefense Advanced Research Projects Agency
  4. Affordable Engine Flow Path CMC Structures for Hypersonic Vehicles

    SBC: PHYSICAL SCIENCES INC.            Topic: MDA13005

    Physical Sciences, Inc. (PSI) proposes to further develop our ultra-high temperature ceramic composite (UHT-CMC) technologies to enable production of cost effective engine flow path component for use in environments that will be encountered by the next generations of high speed vehicles such as strike weapons or ISR platforms. The proposed program is designed to highlight the specific benefits of ...

    SBIR Phase II 2016 Department of DefenseDefense Advanced Research Projects Agency
  5. Energy Harvesting for Next Generation Neurotechnology

    SBC: TRITON SYSTEMS, INC.            Topic: SB143001

    The energy harvesting device developed during the Phase I award will be optimized and tested in vivo during the Phase II award. Testing will include in vivo energy harvesting device characterization.

    SBIR Phase II 2016 Department of DefenseDefense Advanced Research Projects Agency
  6. Cyber Graph DASL:100X Speed-up of End-to-End Analytic Workflows Using GPUs with Accelerated Graph Analytics, Data Integration, and Visualization

    SBC: SYSTAP, LLC            Topic: SB152004

    Representing networks and complex associations, graphs are an important data structure within the Department of Defense.Applying graph analytics and mining to large data sets enables conducting operations, gathering intelligence, and defending the nations critical capabilities.Graphics Processing Units (GPUs) are demonstrated to provide 10-1000X acceleration for graphs.Building analytics for GPUs ...

    SBIR Phase II 2016 Department of DefenseDefense Advanced Research Projects Agency
  7. SA3: Small Autonomous, Sensor Agnostic, Sense and Avoid

    SBC: SCIENTIFIC SYSTEMS CO INC            Topic: SB151006

    Currently small unmanned air vehicles (UAVs) are limited in their ability to autonomously fly in complex, cluttered, environments.This significantly limits the utility of small tactical UAVs to the warfighter/squad who must manually control the vehicle.Small UAVs require: a) scalable autonomous survival behaviors to avoid collision with environmental structure and moving objects; b) Low size, weig ...

    SBIR Phase II 2016 Department of DefenseDefense Advanced Research Projects Agency
  8. Wide Area Sensor Fusion

    SBC: LONGSHORTWAY INC.            Topic: SB162009

    LongShortWay Inc. and Second Star Algonumerix LLC propose development of a machine learning system for detection of moving objects in low-resolutional satellite imagery to support development of wide area sensor fusion

    SBIR Phase I 2016 Department of DefenseDefense Advanced Research Projects Agency
  9. Lithium-based low-cost large-area neutron detection for the portal and vehicle radiation detection market

    SBC: SILVERSIDE DETECTORS INC            Topic: NonDoD

    Silverside Detectors and Arktis Radiation Detectors have developed neutron detectors that are designed to achieve a revolutionary detection sensitivity for a given price in anticipation of large scale deployments of detection capability in and around urban environments to protect against nuclear terrorism. The detectors employs thin sheets of enriched lithium, which are read out in low-cost method ...

    SBIR Phase II 2016 Department of DefenseDefense Advanced Research Projects Agency
  10. ACA: Active Collaborative Autonomy

    SBC: SCIENTIFIC SYSTEMS CO INC            Topic: SB111004

    Anti-access Area Denial (A2AD) capabilities from peer threats render many aspects of current CONOPS inadequate.For example, our manned aircraft are projected to experience unacceptable attrition against peer IADS forces.The overall system concept of collaborative teams of smaller UAVs and manned-unmanned teams shows great promise for counteracting the A2AD threats and improving the cost-exchange r ...

    SBIR Phase II 2016 Department of DefenseDefense Advanced Research Projects Agency
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