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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. SCALABLE MULTIMEDIA DATABASE INTEGRATION AND VISUALIZATION TECHNOLOGY

    SBC: DEUMBRA, INC.            Topic: N/A

    In this proposal, we will develop a uniform framework, called a multimedia mediator, for integrating and querying multimedia data as well as heterogenous data located on a distributed network. The multimedia mediator will use distributed computing technology to scale up to real-world applications. We will develop graphical query languages and query engines whereby an end-user can query a system ...

    SBIR Phase I 1996 Department of DefenseNavy
  2. DEVELOPMENT OF A DYNAMIC OPERATIONAL RISK MODEL TO SUPPORT RISK MANAGEMENT OF NUCLEAR POWER PLANTS

    SBC: Accident Prevention Group            Topic: N/A

    CURRENT ACTIVITY WITHIN THE NRC AND THE NUCLEAR INDUSTRY SEEKS TO EXPLOIT THE BENEFITS OF PRA IN RISK-BASED APPROACHES TO RELIEVE REGULATORY BURDEN ON THE ECONOMICALLY THREATENED NUCLEAR POWER PLANTS. THE ACCIDENT PREVENTION GROUP HAS BEEN DEVELOPING THE CONCEPT OF AN INTEGRATED RISK MANAGEMENT PROGRAM (IRMP) TOWARD SUCH GOALS. A KEY ELEMENT OF AN IRMP IS AN "OPERATIONAL RISK MODEL" OF THE NPP THA ...

    SBIR Phase I 1994 Nuclear Regulatory Commission
  3. NEURAL NETWORK FIGURE OF MERIT SUBSYSTEM

    SBC: ACCURATE AUTOMATION CORPORATION            Topic: N/A

    This project will develop a neural network based Figure of Merit or Target Quality Subsystem for use in Carrier and Amphibious Assult Ship Air Traffic Control Subsystem. This system will take sensor data from multiple sensors into the subsystem and determine the actual target location. This will develop confidence in the fused data. It will examine the consistence in target identification. Neural ...

    SBIR Phase I 1994 Department of DefenseNavy
  4. Application of Neural Networks for Pattern Recognition in Logistics Data

    SBC: ACCURATE AUTOMATION CORPORATION            Topic: N/A

    In this Phase I SBIR, Accurate Automation Corporation will prototype key component technologies for a neural network-based Logistic Support Assistant that will assist Navy Supply Management personnel in planning and forecasting of logistics efforts. Fully developed as part of a Phase II effort, this system will help ensure smooth continuity of performance even when personnel are reassigned. ...

    SBIR Phase I 1996 Department of DefenseNavy
  5. Accurate Automation Corporation Fuzzy Logic/ Neural Network Processor

    SBC: ACCURATE AUTOMATION CORPORATION            Topic: N/A

    In this project we will adapt our programmable neural network processor (NNP) into a Fuzzy/neural network processor (FNNP). Already having the commercially successful NNP, we begin this program with more than half the work completed. we will define and evaluate NNP architectural modifications to optimize both data flow and data processing for both fuzzy logic and neural network- Operations- we w ...

    SBIR Phase I 1996 Department of DefenseNavy
  6. Passive Tracking for Countermeasure Effectiveness

    SBC: ACCURATE AUTOMATION CORPORATION            Topic: N/A

    This research effort investigates the use of a passive tracker combined with the appropriate "neural network" or "heuristic" assessment system to determine whether a missile fired at an aircraft is on a collision course. The results of this study will outline a system concept which can be used to assist military aircrews in determining whether a missile has been "defeated" through the use of tacti ...

    SBIR Phase I 1994 Department of DefenseNavy
  7. BIOLOGICALLY INSPIRED PROCESSOR FOR ALL-SOURCE DATA ASSOCIATION AND FUSION

    SBC: ACCURATE AUTOMATION CORPORATION            Topic: N/A

    This project will develop improved sensor fusion of underwater surveillance and fire control related ]data based upon biologically inspired data association and sensor fusion techniques. In this _proposed SBIR, AAC will examine under-sea surveillance requirements for providing contact data hassociation for two or more contacts in the littoral environment. We will analyze biologically-inspired [tec ...

    SBIR Phase I 1997 Department of DefenseNavy
  8. Precision Logistics Suppot System (PLSS)

    SBC: ACCURATE AUTOMATION CORPORATION            Topic: N/A

    Accurate Automation Corporation will design, develop, demonstrate, and transition by the end of Phase II a new tool, the Precision Logistics Support System (PLSS), which can assist Marine Corps logistics personnel in rapidly generating and refining a logistics / supply plan that will best meet the needs of any specific deployment. The prototype PLSS will be configured for a LAN-connected PC en ...

    SBIR Phase I 1997 Department of DefenseNavy
  9. Holographic wide field of view imaging filter for visible and eye-safe LIDAR receivers

    SBC: Accuwave Corp.            Topic: N/A

    Accuwave Corporation will demonstrate a new approach to obtaining wide field of view imaging ( up to 15 degrees full angle) with a holographic grating filter. This new approach will make the filter element independent of the detector array dimensions, enabling resolution changes to be made without affecting the filter. This technique can also be extended to IR filters for use in eye-safe LIDAR s ...

    SBIR Phase I 1997 Department of DefenseNavy
  10. Compact optical sensor for detecting and tracking ocean-penetrating laser radar

    SBC: Accuwave Corp.            Topic: N/A

    The innovation proposed in this SBIR program is to develop a threat warning system against airborne laser radars in the blue-green transmission window. The proposed sensor system characterizes a sample through wavlelength, temporal, and spatial (theta fi) characteristics of the backscattered and source emission signals, enabling the air-borne laser radar to be identitied and tracked. The sensors ...

    SBIR Phase I 1997 Department of DefenseNavy
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