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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. Techniques for Automatically Exploiting Passive Acoustic Sonar Data

    SBC: 3 Phoenix, Inc.            Topic: N06138

    The Navy reduced manning requirements drive the need for more sonar automation. Automatically detecting and classifying targets of interest meets the challenge of reduced manning and workloads required for passive anti-submarine warfare (ASW) and torpedo detection, classification and localization (TDCL). Under SBIR Phase I Topic N06-138, the team of 3 Phoenix, Inc and General Dynamics - Advanced I ...

    SBIR Phase II 2009 Department of DefenseNavy
  2. RF Over Optical Fiber

    SBC: 3 Phoenix, Inc.            Topic: AF06273

    This Small Business Innovation Research (SBIR) Phase II proposal leverages technologies developed under SBIR Topic AF06-273 to develop cost-effective technology for Radio Frequency (RF) signal distribution over fiber onboard submarines. The technology has the ability to reduce RF signal loss over long distances and across a wide frequency range; reduce the number of hull penetrations; support mast ...

    SBIR Phase II 2009 Department of DefenseNavy
  3. Embedded Training Techniques for Target Discrimination Systems

    SBC: 3 Phoenix, Inc.            Topic: N08209

    Complex systems such as the SPS-74(V) Periscope Detection Radar automatic target recognition system present difficult training challenges for enhancing and maintaining operator proficiency. Technical challenges arise from the nature of software automation. The most difficult recognition cases can usually be trained effectively only with actual sensor data. Keeping the proficiency training curren ...

    SBIR Phase I 2009 Department of DefenseNavy
  4. In situ learning for underwater object recognition

    SBC: 3 Phoenix, Inc.            Topic: N091066

    Sea mines are a cost-effective method for hostile forces to attempt to neutralize assets of the U.S. Navy by limiting mobility and creating delay. Mine detection, classification and localization (DCL) is very challenging in littoral environments due to the high clutter, increased background, and dense multipath. 3 Phoenix, Inc. has developed an innovative approach for automatic target detection an ...

    SBIR Phase I 2009 Department of DefenseNavy
  5. Hand Deployed Situational Awarness Sensor for Shipboard Damage Control

    SBC: ADAPTIVE METHODS, INC.            Topic: N07132

    Damage sustained on board a US Naval vessel is a serious situation. Rapid situational assessment of a damaged compartment by a rugged, hand-deployed, situational sensor would be advantageous in coordinating a response, mitigating additional damage to the ship and crew, and preserving the ship’s mission. Such a device must be able to withstand shock, heat, flooding, and other hazardous environmen ...

    SBIR Phase II 2009 Department of DefenseNavy
  6. Exercise Torpedo End-Of-Run (EOR) Global Positioning System (GPS) Locator

    SBC: ADAPTIVE METHODS, INC.            Topic: N091056

    The US Navy seeks the development of a miniature transponder locator unit, capable of sustaining high shock loads that can be placed in both lightweight and heavyweight exercise torpedoes for rapid torpedo recovery. Currently, a considerable amount of time and resources is expended to visually search for the exercise torpedo after the end of run, and the solicitation aims to develop a system that ...

    SBIR Phase I 2009 Department of DefenseNavy
  7. Advanced Flight Deck Data and Voice Communications

    SBC: Adaptive Technologies, Inc.            Topic: N091012

    Adaptive Technologies, Inc. (ATI) and Fortress Technologies have teamed to develop advances in flight deck data and voice communications for use by the Aviation Data Management and Control System (ADMACS) program. This unique challenge of providing operational, noise-free, voice-enabled data management in a flight deck environment, with wireless network integration to the existing ADMACS shipboard ...

    SBIR Phase I 2009 Department of DefenseNavy
  8. Low-cost device relevant Indium Gallium Nitride (InGaN) or Alternatives

    SBC: 4WAVE, INC.            Topic: SB082053

    The project aims to grow device-quality InxGa1-xN, an important semiconductor because the band gap can be shifted widely by varying x, using a new form of plasma sputtering, Biased-Target Deposition (BTD). The major objectives are to grow x > 0.05 material on sapphire at 600-800°C (standard) and 300-500°C (beneficially reduced) temperatures, and to characterize material quality via X-ray diffra ...

    SBIR Phase I 2009 Department of DefenseDefense Advanced Research Projects Agency
  9. Development of Ultra-High Strength Intrinsically Corrosion Resistant Steels Using High Pressure Powder Compaction Technology

    SBC: Utron Kinetics LLC            Topic: OSD09C04

    In response to OSD/NAVY’s need for landing gear component applications, We propose to develop advanced high strength steels using CDC compaction manufacturing. Common materials used are 4340 steel, 300M, and AerMet 100. AerMet 100 has superior material properties to 4340 and 300M. Landing gear components made from AerMet 100 has had success within the USN. However this is an expensive and limite ...

    SBIR Phase I 2009 Department of DefenseNavy
  10. C-Strike

    SBC: TWO LIGHTS TECHNOLOGIES, LLC            Topic: SB082061

    Close Air Support (CAS) is playing an increasing role in military operations. The emphasis on Special Operations in recent years has increased the combat range of small units, often sending squad-sized units hundreds of miles behind enemy lines. Small units rely on stealth and airpower. They remain covert, but when they are discovered, they call in airpower to keep from being outgunned. All too of ...

    SBIR Phase I 2009 Department of DefenseDefense Advanced Research Projects Agency
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