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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. High Resolution ADC on an Application Specific Integrated Circuit (HRADC-ASIC)

    SBC: A-TECH CORPORATION            Topic: AF131073

    ABSTRACT: Performance of space-based digital control systems is limited by the low resolution of available radiation-hardened Analog to Digital Converters (ADCs) and Digital to Analog Converters (DACs). Applied Technology Associates (ATA) proposes to develop a High Resolution ADC on an Application Specific Integrated Circuit (HRADC-ASIC) that provides: Up to 16-22 bits of resolution with corre ...

    SBIR Phase I 2014 Department of DefenseAir Force
  2. Ultra-Scalable Nonvolatile Graphene Memory

    SBC: Harper Laboratories            Topic: AF131082

    ABSTRACT: The physical scalability of Si based nonvolatile memory is problematic for the terascale integration of space memory. In particular and with regards to Flash, this problem is two-fold as device designs breakdown and photolithographic patterning approaches its limits to minimum feature size. Whereas phase-change and ferroelectric polymer devices have shown promise to scale beyond Flash ...

    SBIR Phase I 2014 Department of DefenseAir Force
  3. Radiation Hardened Graphene based Nonvolatile Memory for Space Applications

    SBC: NANOSONIC INC.            Topic: AF131082

    ABSTRACT: This Air Force Phase I SBIR program would develop and demonstrate radiation hardened graphene based nonvolatile memory(NVM) for space applications. Specifically, we would combine advances in resistive memory materials, including graphene and graphene oxides, with the careful manipulation of metal ion, oxygen vacancy or other charge transport in graphene based materials, to realize the r ...

    SBIR Phase I 2014 Department of DefenseAir Force
  4. High Efficiency Low Weight W-Band PolyStrata Antenna

    SBC: Nuvotronics, LLC            Topic: N132087

    Nuvotronics is proposing to Navy SBIR number N132-087 to develop novel high efficiency, light weight, low manufacturing cost 94 GHz antenna modules toward future Active Denial Technology systems. RF passive components based on waveguides are generally very low loss but are heavy, expensive to machine at high frequency and bulky. Components based on substrate material such as ceramic or printed cir ...

    SBIR Phase I 2014 Department of DefenseNavy
  5. Development of Adaptive Vorticity Confinement Based CFD Methodology for Rotorcraft Applications

    SBC: ILLINOISROCSTAR LLC            Topic: N132092

    The accurate representation of the rotor wake, especially the tip vortex structure, in a computationally efficient and algorithmically straight forward way is crucial for prediction of rotor aerodynamic performance, noise emission, and rotor structural dynamics. A promising approach for design and optimization is the vorticity confinement (VC) method that minimizes the numerical diffusion of vorti ...

    SBIR Phase I 2014 Department of DefenseNavy
  6. Automated Concept Map Elicitation (ACME)

    SBC: DECISIVE ANALYTICS CORPORATION            Topic: N132128

    Rapid response missions to remote, unknown areas are becoming a primary focus for U.S. military forces. These missions require time-sensitive development of intelligence from all available sources including open source data, historic imagery, and live collections. Capabilities currently exist to extract low-level information (i.e. entities, relationships, and actions) from these large scale data s ...

    SBIR Phase I 2014 Department of DefenseNavy
  7. Automatic Concept Maps:asA and:inA Dynamic Wiki

    SBC: Commonwealth Computer Research Inc            Topic: N132128

    Representing knowledge in a triple store is trivial, yet querying and visualizing the resulting knowledge is difficult and inefficient when the number of triples is large. Needing to understand the data models from each of the contributing processes and how these data models overlap or interact further complicates this problem. Visualization tools for knowledge stored in the Resource Description F ...

    SBIR Phase I 2014 Department of DefenseNavy
  8. High Power Radio Frequency (HPRF) Dynamic Surface Engagement Modeling and Simulation Tool

    SBC: TECHFLOW SCIENTIFIC            Topic: N132134

    TechFlow Scientific proposes to develop a dynamic high-power radio-frequency (HPRF) engagement modeling and simulation (M & S) tool for predicting weapon effectiveness in Navy surface engagements, leveraging past related work to advance the development schedule. Our team brings considerable experience in HPRF M & S and analysis, software development, and integration of individual tools to create c ...

    SBIR Phase I 2014 Department of DefenseNavy
  9. Resolving Independent Perspectives by Providing Learning-Enabled Enhanced Fusion For Elastic Cloud Technologies (RIPPLE-EFFECT)

    SBC: DECISIVE ANALYTICS CORPORATION            Topic: N132135

    To maintain situational awareness, analysts must sift through and fuse information across multiple documents, data sources, and modalities (text, imagery, and biometrics). The emergence of Big Data has placed an enormous burden on the analyst as the volume of data to examine has increased dramatically while the analyst"s capacity to understand and fuse information remains constant. Additionally, t ...

    SBIR Phase I 2014 Department of DefenseNavy
  10. Distributed Relational Learning for Cloud Data Fusion

    SBC: Commonwealth Computer Research Inc            Topic: N132135

    The US military and intelligence community has been successfully fusing the data it gathers into actionable intelligence. However, the volume of data is increasing such that it cannot be processed on a single server, calling for distributed data fusion algorithms that operate across a cloud. As data grows to the point of requiring distributed storage, machine learning algorithms capable of produci ...

    SBIR Phase I 2014 Department of DefenseNavy
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