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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. Zero-HERO Inductive Link

    SBC: TRITON SYSTEMS, INC.            Topic: N171006

    Triton Systems will develop an inductive link for use in Navy aircrafts to send configuration data to individual rockets within a launcher before launch. The proposed solution will remove the need for umbilicals on the current system and provide a wireless connectivity capability. During Phase I, Triton proposes to build a test model to demonstrate our systems capability to send wireless data to i ...

    SBIR Phase I 2017 Department of DefenseNavy
  2. Wide Band, High Performance Low Cost Array Antenna (1000-185)

    SBC: SI2 TECHNOLOGIES, INC            Topic: N111040

    SI2 Technologies proposes to leverage its experience in the design of broadband, low profile array antennas to develop a wide band, high performance, low cost array to operate from S band through X band for Navy shipboard radar, electronic warfare (EW), and communications systems. SI2"s proposed array is based on proven technology, and will exhibit high efficiency, excellent pattern stability and ...

    SBIR Phase I 2011 Department of DefenseNavy
  3. Wideband Acoustic Communications Transducer

    SBC: Materials Systems Inc.            Topic: N101046

    The goal of the proposed program is to combine the functionality of the TR-232, TR-233 and ITC-1007 transducers into a single high performance transducer that can meet all of the Navys submarine acoustic communications requirements. All this needs to packaged into a form factor that fits within the current TR-233 footprint and include both transmit and receive response. Materials Systems Inc. (MS ...

    SBIR Phase II 2011 Department of DefenseNavy
  4. Wide-Area Laser Additive Manufacturing in Metals with Adaptive Beam Shaping (WALAM-ABS)

    SBC: MV INNOVATIVE TECHNOLOGIES, LLC            Topic: N17AT030

    Optonicus proposes development of the WALAM-ABS (Wide-Area Laser Additive Manufacturing in Metals with Adaptive Beam Shaping) laser additive manufacturing (LAM) system. The WALAM-ABS metal additive manufacturing system will solve long-standing drawbacks imposed by current single-point selective laser melting LAM technology through the use of wide-area processing based on proprietary multi-beam fib ...

    STTR Phase I 2017 Department of DefenseNavy
  5. Wide-Area Laser Additive Manufacturing in Metals with Adaptive Beam Shaping (WALAM-ABS)

    SBC: MV INNOVATIVE TECHNOLOGIES, LLC            Topic: N17AT030

    Optonicus proposes development of the Wide-Area Laser Additive Manufacturing in Metals with Adaptive Beam Shaping (WALAM-ABS) laser additive manufacturing (LAM) system. The WALAM-ABS metal additive manufacturing system will solve long-standing drawbacks imposed by current single-point selective laser melting LAM technology through the use of wide-area processing based on proprietary multi-beam fib ...

    STTR Phase II 2018 Department of DefenseNavy
  6. Web-based Application for Aircraft Component Fatigue Life Management

    SBC: TECHNICAL DATA ANALYSIS, INC.            Topic: N182100

    Navy aircraft data are stored in several database management systems, both in digital format (data recorders and sensors) and paper records. Additionally, with respect to life management and maintenance, and repair and overhaul (MRO) activities. This approach results in multiplicity of data, some contradictory data, and incomplete data. An efficient Web-Based platform is needed with a reasoning en ...

    SBIR Phase I 2018 Department of DefenseNavy
  7. Weather "Action-Chain" Enabler (ACE) Application

    SBC: BLUE STORM ASSOCIATES INC.            Topic: 834

    In this Phase II effort, PEMDAS Technologies and Innovations (PEMDAS), in collaboration with subcontractor Westover Studios, proposes to develop a functional prototype of the Weather “Action Chain” Enabler (ACE) application using the technologies identified, knowledge gained, and preliminary design conceived during the Phase I effort. As designed, the Weather ACE application will be a non-intr ...

    SBIR Phase II 2019 Department of CommerceNational Oceanic and Atmospheric Administration
  8. Wavefront Sensing for Tactical Systems

    SBC: Integrity Applications Incorporated            Topic: N111028

    The Navy is responsible for providing maritime security from terrorist and rogue state actors. As technology progresses, these threats obtain increasingly powerful weapons that may be concealed in smaller packages. The Navy relies heavily on EOIR sensors mounted on airborne tactical platforms to detect, identify, and classify these threats. The challenging tactical environment faced by these senso ...

    SBIR Phase I 2011 Department of DefenseNavy
  9. Waveform Agile Radio Paradigm (WARP) for Frequency Opportunism in Tactical MANET

    SBC: MAYFLOWER COMMUNICATIONS COMPANY, INC.            Topic: N102187

    Mayflower Communication Company, Inc. (Mayflower) proposes a novel technology, Waveform Agile Radio Paradigm (WARP), to meet the Navy objective, namely, to develop distributed algorithms and protocols for fragmenting single-carrier spectrum in response to spectrum constraints. WARP is an optimal approach to distributed spectrum fragmentation and recovery for frequency opportunism in MANET communic ...

    SBIR Phase I 2011 Department of DefenseNavy
  10. Wave Characterization from Improved Navy Lighterage System (INLS) Warping Tug Motions

    SBC: METRON INCORPORATED            Topic: N172123

    A method is proposed for the estimation of directional wave spectra using vessel motion measurements, with the only a priori knowledge required being the vessel mass and/or waterplane characteristics. All other relevant vessel characteristics are learned in the field. The method may be extended to eliminate the need for any a priori knowledge whatsoever using machine learning techniques, for situa ...

    SBIR Phase I 2018 Department of DefenseNavy
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