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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. A Calorimeter for the Nondestructive Assay of Tritium-Contaminated Samples

    SBC: Science Research Laboratory, Inc            Topic: N/A

    N/A

    SBIR Phase I 1995 Department of Commerce
  2. A Case-Based Reasoning Approach to Intelligent Tutoring Systems for

    SBC: STOTTLER HENKE ASSOCIATES, INC            Topic: N/A

    An automatic system will be developed to bring the experiences and machine shop environment of experienced machinists to Numerical Control (NC) programmers and Computer Aided Manufacturing (CAM) software operators. This Intelligent Tutoring System (ITS) will teach machining principles and how to apply them with a tailored course of instruction and remediation for use in an office or classroom. The ...

    SBIR Phase I 1997 Department of Commerce
  3. A Digital Library of Computer-System Security Vulnerabilities

    SBC: Interconnect Technologies            Topic: N/A

    N/A

    SBIR Phase I 1996 Department of Commerce
  4. ADVANCED SYSTEM FOR MINEHUNTING AND OCEANOGRAPHIC REMOTE SENSING

    SBC: Atlantic Applied Research Corp            Topic: N/A

    N/A

    SBIR Phase I 1994 Department of Commerce
  5. A Dynamical Instrument for Machining Centers

    SBC: FOSTER-MILLER, INC.            Topic: N/A

    In the program, we will develop a measurement system based on the dynamics of the machining process. This system will use the variation in the forces or accelerations occurring during machining to characterize the mechanisms occurring between the cutter and workpiece. This will provide real time indications of the finish of the surface that is being created, the proximity to the chatter threshol ...

    SBIR Phase I 1996 Department of Commerce
  6. A High Temperature Fiber Optic Raman Probe for Corrosion and Process Monitoring

    SBC: EIC LABORATORIES, INC.            Topic: N/A

    N/A

    SBIR Phase I 1996 Department of Commerce
  7. Algorithms for Health Care Quality Management and Outcomes Assessment

    SBC: BARRON ASSOCIATES, INC.            Topic: N/A

    American health care is in the midst of momentous change. Quality improvement principles are being used increasingly to enhance productivity and efficiency of health care delivery and to help contain costs. In producing patient outcomes and resource utilization measures, it is vital to control appropriately for case mix (i.e., differences in patients due, e.g., to illness severity) in the predicti ...

    SBIR Phase I 1997 Department of Commerce
  8. A mobile Boundary Layer Radar Wind Profiler for Remote Measurements of Vertical Wind Shear

    SBC: PROSENSING INC.            Topic: N/A

    This project will develop a mobile boundary layer radar wind profiler intended for rapid deployment in regions of severe storm activity. The goal of this research will be investigate the feasibility of developing a low cost, low maintenance, mobile instrument capable of profiling vertical and horizontal wind velocities in the lowest 3 km of the atmosphere. The system's mobility and quick setup t ...

    SBIR Phase I 1996 Department of Commerce
  9. A Multi-Trip, Free Drop Buoy for the Measurement of Shallow Physical/Optical Properties

    SBC: Webb Research Corp.            Topic: N/A

    N/A

    SBIR Phase I 1995 Department of Commerce
  10. ANALYSIS AND TRAINING OF AN ARTIFICIAL NEURAL NETWORK NETWORK NUCLEAR POWER PLANTACCIDENT DIAGNOSTIC ADVISOR

    SBC: Netrologic, Inc.            Topic: N/A

    THE OBJECTIVE OF THE PROPOSED RESEARCH IS TO DEVELOP AN ARTIFICIAL-INTELLIGENCE FAULT-DIAGNOSTIC SYSTEM THAT WILL CLASSIFY, IN REAL-TIME, NUCLEAR POWER PLANT TRANSIENTS AND PROVIDE ERROR BOUNDS ON ITS DIAGNOSES. THE GOAL IS TO DEVELOP AN ARTIFICIAL NEURAL NETWORK (ANN) PARADIGM THAT IS CAPABLE OF NOT ONLY PROVIDING A PROPER CLASSIFICATION BUT ALSO GIVING A FIGURE OF MERIT FOR ITS ANSWER. THE PROPO ...

    SBIR Phase I 1991 Nuclear Regulatory Commission
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