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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. LASER DEPOSITION OF MODULATED-STRUCTURE FERROELECTRIC THIN FILMS FOR NON-VOLATILE MEMORIES

    SBC: American Research Corporation of Virginia            Topic: N/A

    FERROELECTRIC THIN FILM DEVICES OFFER A NUMBER OF ADVANTAGES FOR USE AS COMPUTER MEMORIES, INCLUDING HIGH BIT-DENSITY, NONVOLATILE LOWVOLTAGE OPERATION OVER A WIDE TEMPERATURE RANGE, SHORT ACCESS AND CYCLE TIMES, AND RELATIVELY HIGH RADIATION HARDNESS. TO RESPOND TO THE NEED OF DESIGNIING AND DEVELOPING LIGHTWEIGHT, RADIATION HARD, HIGH PERFORMANCE ELECTRONIC CIRCUITS FOR USE IN INTERCEPTORS, ACTI ...

    SBIR Phase II 1991 Department of DefenseArmy
  2. SUB MICROMETER MICROBIAL AEROSOL GENERATOR

    SBC: Babington Engineering            Topic: N/A

    AN ADVANCED TECHNIQUE IN THE ATOMIZATION OF LIQUIDS WILL BE UTILIZED IN DEVELOPING AN AEROSOL GENERATOR TO SATISFY THE REQUIREMENTS OF THIS PROJECT. THE PHASE I AEROSOL GENERATOR WILL BE CAPABLE OF OPERATING AT RELATIVELY LOW AIR PRESSURES, TO INSURE HIGH VIABILITY AFTER AEROSOLIZATION. THE SYSTEM WILL BE ESSENTIALLY NON CLOGGING AND WILL BE INSENSITIVE TO PARTICULATE MATTER IN THE LIQUID.

    SBIR Phase II 1991 Department of DefenseArmy
  3. MODULAR NEURAL EW SYSTEMS (MNEWS)

    SBC: Signal Analytics Corp            Topic: N/A

    THE PROCESSING THROUGHPUT OF AN ESM SYSTEM IS DIRECTLY RELATED TO ITS ABILITY TO GROUP INCOMING PULSES INTO CLUSTERS, EACH OF WHICH CONTAIN A UNIQUE EMITTER. THE APPROACH TO THIS PROBLEM PRESENTED HERE PROVIDES A STRATEGY FOR PERFORMING UNIQUE SIGNAL CLUSTERING AND CLASSIFICATION BASED UPON THE USE OF NEURAL NETWORKS. PRE-SORT CLUSTERING WILL BE ACHIEVED THROUGH A SELF ORGANIZING CLUSTERED (SOC) N ...

    SBIR Phase II 1991 Department of DefenseArmy
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