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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. Integral Fuel Tank Self-sealing Protection

    SBC: The Survice Engineering Company LLC            Topic: N12AT001

    The proposed research and development effort describes a composite material approach capable of providing reliable self-sealing functionality to integral fuel tanks. Since fuel containment systems can make up a large portion of an aircraft"s presented area they can contribute significantly to aircraft vulnerability to impacting threats. The ability to self-seal addresses the issue of potential fue ...

    STTR Phase I 2012 Department of DefenseNavy
  2. Exploiting Polarimetry in Littoral Surveillance

    SBC: Technology Service Corporation            Topic: N12AT002

    In Phase I the team of TSC and SDL will initiate an effort to collect polarimetric target and clutter signatures, identify polarimetric features and algorithms for detecting and classifying targets, and understanding the sensitivity to target aspect angle, grazing angle and radar resolution. In performing the Phase I program, the team will: 1) identify a robust set of polarimetric decomposition an ...

    STTR Phase I 2012 Department of DefenseNavy
  3. Early Damage State Detection in Gearbox Components Via Acoustic Emission

    SBC: X-Wave Innovations, Inc.            Topic: N12AT007

    To meet the US Navy"s need for an innovative AE technology for extracting the true AE signal out of background noises, X-wave Innovations, Inc. (XII) and The Johns Hopkins University (JHU) propose an innovative wireless AE technology for automated detection of early stages of crack initiation and short crack propagation in rotating gearbox components. The proposed approach builds on the XII-develo ...

    STTR Phase I 2012 Department of DefenseNavy
  4. Energy Efficient HF Transmit Antennas

    SBC: Pharad, LLC            Topic: N12AT015

    In this N12A-T015 Phase I effort, the team of Pharad and UCLA (University of California, Los Angeles) propose to develop a highly efficient High Frequency (HF) transmit antenna based on utilizing existing structures that are available in the surrounding environment, as radiation mechanisms. We propose to create antennas on existing structures or other parts of the platform using either of two stra ...

    STTR Phase I 2012 Department of DefenseNavy
  5. Intermediate Transient Support of High Rate and Pulsed Loads

    SBC: Rct Systems, Inc.            Topic: N12AT022

    RCT Systems proposes to develop a conceptual design for an Intermediate Energy Storage Module (IESM) that will provide the energy storage, power electronics and controls necessary to keep high power pulse loads from disrupting the ship"s distribution grid and allow the power system to meet the specifications in MIL-STD-1399. In its system tradeoff and analysis, RCT Systems will also consider a nov ...

    STTR Phase I 2012 Department of DefenseNavy
  6. Advancing the Capabilities and Deployment of Functional Encryption

    SBC: Zeutro, LLC            Topic: N12AT025

    In recent years, a new opportunity for protecting encrypted data has risen. Functional Encryption (FE) provides an entirely new vision of encrypting data. Instead of encrypting to individual users, in a functional encryption system, one can use FE to describe a policy of how to share data based on a user's credentials or attributes. While recent research has significantly advanced the capabi ...

    STTR Phase I 2012 Department of DefenseNavy
  7. An Adaptive, Biologically-Inspired Framework for Identifying Salience in Data

    SBC: Intelligent Automation, Inc.            Topic: OSD11TD1

    In the modern world, people and machines are faced with ever-increasing amounts of data. Oftentimes, large data sets can be greatly reduced by identifying elements that are salient, within the context of a particular mission or goal. For example, in a military patrol video, hours of empty scenery may be removed to reveal short snippets where people or vehicles appear, and engage in behaviors tha ...

    STTR Phase I 2012 Department of DefenseNavy
  8. Discovery and Information Retrieval from Distributed Multi-INT Data Sources in a Cloud Environment

    SBC: Intelligent Automation, Inc.            Topic: OSD11DR6

    In recent years data intensive processing is beyond the capability of any individual machine and requires clusters, which means that massive data problems are fundamentally about organizing computations on dozens, hundreds, or even thousands of machines. This is exactly what MapReduce does, and the challenge is really how we can exploit MapReduce to bring valuable information to the Warfighter, fo ...

    SBIR Phase I 2012 Department of DefenseNavy
  9. Low thermal resistance two-phase cooling loop for aircraft thermal management

    SBC: ATEC, Inc.            Topic: N112093

    The trend of replacing mechanical drive systems with power electronics and electrical drives has led to significant increases in the on-board power requirements in military aircraft. Although electrical systems are typically highly efficient, still a significant portion of the electrical energy is eventually converted into heat, thus leading to thermal management challenges. Moreover, the efforts ...

    SBIR Phase I 2012 Department of DefenseNavy
  10. Integrated Data Registration for Networked Aircraft

    SBC: Heron Systems, Inc.            Topic: N112101

    An integrated data registration solution using neural networks is proposed. Previous data registration solutions typically involve a fixed model of biases and noise. The biases are then estimated and the estimates used to offset future sensor measurements. These models are unable to solve more complex situations where the errors do not fit into a given model. Given a changed operating environment, ...

    SBIR Phase I 2012 Department of DefenseNavy
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