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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. Spectrum Analyzer Using Spintronic Radar Arrays

    SBC: Oleandr Scientific LLC            Topic: A16AT016

    We propose to develop a prototype of a novel spintronic spectrum analyzer using an array of nano-scale magnetic spin-torque detectors. The operation of the proposed spectrum analyzer is based on the recently discovered effects of spin-transfer torque and spin-diode effects in nano-scale magnetic multilayered elements, the fabrication of which became possible due to the recent advances in nano-fabr ...

    STTR Phase II 2018 Department of DefenseArmy
  2. Advanced Fire Control Radar for Group 1 and 2 Unmanned Surveillance Systems

    SBC: Physical Optics Corporation            Topic: A17126

    To address the Army’s need for a fire control radar for small UASs, Physical Optics Corporation (POC) proposes to develop an Advanced Fire Control Radar for Group 1 and 2 Unmanned Surveillance Systems (ARGUS). ARGUS is a compact, lightweight, and low power sensor that directly fits in the electronics or payload bay of Group 1 and 2 UASs. It interfaces with the platform’s flight computer throug ...

    SBIR Phase I 2018 Department of DefenseArmy
  3. DEEP FOCUS: USING DEEP LEARNING TO DISCERN TARGETS IN CLUTTERED RADAR

    SBC: CLOSTRA INC            Topic: A17133

    Deep Focus applies deep learning neural nets to Apache Fire Control Radar (FCR) targeting and target identification, with applicability to related systems. Recent innovations in deep learning theory and implementation have enabled neural nets to achieve what was once unthinkable: beat humans at complex image recognition skills, safely pilot cars over chaotic road systems, and overwhelm Grandmaster ...

    SBIR Phase I 2018 Department of DefenseArmy
  4. Fiber Laser with Enhanced Coupling

    SBC: HEDGEFOG RESEARCH INC.            Topic: A17136

    To address the Army’s need for a novel approach that enables pump combiners with improved coupling efficiency for high-power fiber laser systems, Hedgefog Research Inc. (HFR) proposes to develop a new Fiber Laser with Enhanced Coupling (FLEC) that minimizes excess heat generation in fiber lasers via efficient mode scrambling of the pump light in the cladding of the active fiber. Specifically, we ...

    SBIR Phase I 2018 Department of DefenseArmy
  5. In Vehicle Adjustable Torsion Bar Technologies

    SBC: GS ENGINEERING INC            Topic: A17146

    In order to provide a best of both world solution to the Army which provides the simplicity, reliability and cost effectiveness of a torsion bar suspension system with the flexibility and adjustment of a more costly and complex HSU system, GS Engineering will develop an in-vehicle torsion bar adjustment device. Leveraging decades of military tracked vehicle suspension expertise and starting with t ...

    SBIR Phase I 2018 Department of DefenseArmy
  6. Combat Casualty Care Augmented Reality Intelligent Training Systems (C3ARESYS)

    SBC: SOAR TECHNOLOGY INC            Topic: A16076

    Combat Lifesavers (CLS) and Combat Medics (68W) are the first responders of the battlefield, and their training and skill maintenance is extremely important to the military. Scenario-based training is limited in how casualties and wounds are presented to trainees, and the amount of hands-on experience that trainees can get in the schoolhouse. Typically wounds are created using simple moulage that ...

    SBIR Phase II 2018 Department of DefenseArmy
  7. Low-Cost Ultra-lightweight CW Detection for Micro UAVs and Other Applications

    SBC: INTELLIGENT OPTICAL SYSTEMS, INC.            Topic: CBD11103

    Building on our established thin-film chemical detection technology, Intelligent Optical Systems (IOS) proposes to integrate its highly sensitive multi-agent chemical and toxic chemical detection sensor substrates, for mounting onto a quadcopter camera to assist in identifying/mapping target contaminants. This established optical sensor cladding technology developed at IOS adapts multiple componen ...

    SBIR Phase II 2018 Department of DefenseArmy
  8. Repurposed Software Programmable Radio Technology to Support Flexible Missile Uplink/Downlink Implementations

    SBC: Space Micro Inc.            Topic: A16078

    Space Micro's uLINK ("micro-LINK") SDR system is a robust missile data link radio inserted in existing Army hardware to satisfy the multi-mission demands of the IFPC-inc2 requirements. Based upon the robust DCT software defined radio, and interfacing existing RF and antennae hardware, we have shown that we can operate and is as a legacy data-link for initial integration, and as a tri-band (S, C, a ...

    SBIR Phase II 2018 Department of DefenseArmy
  9. Innovative Rendering for Simulation

    SBC: SIGNATURE RESEARCH, INC.            Topic: A16105

    The focus of the Innovative Rendering for Simulation Phase II effort is to implement the proof-of-concept Unified Physics-based Rendering System (UPRS) in order to deliver new capabilities to the modeling and simulation community. UPRS will provide the government with a tailored HW and SW solution optimized for the specific simulation rendering needs. UPRS will be delivered as a Government Open So ...

    SBIR Phase II 2018 Department of DefenseArmy
  10. Data-Parallel Analytics on Graphics Processing Units (GPUs)

    SBC: Royal Caliber            Topic: ST13B004

    We are proposing to enable automated discovery of machine learning pipelines on graphs using our system of accelerated primitives. While our existing technology greatly reduces the need for users to understand super-computing, it still requires expertis...

    SBIR Phase II 2018 Department of DefenseDefense Advanced Research Projects Agency
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