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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 Quality Composite Fabrication without Autoclaves or Ovens

    SBC: LUNA INNOVATIONS INCORPORATED            Topic: N172125

    To fabricate high-quality composite components with acceptable thermal properties and low void volume, autoclaves are typically essential to provide elevated temperature processing cycles and external pressure required for adequate compaction. However, autoclaves represent large capital and energy investments while limiting the size of fabricated parts and production flexibility. Out-of-autoclave ...

    SBIR Phase I 2017 Department of DefenseNavy
  2. Reliable Target Area of Uncertainty from an Underwater Acoustic Source(s)

    SBC: EXPEDITION TECHNOLOGY, INC.            Topic: N172122

    The Navys Multi-Static Active Coherent (MAC) system is a multi-static sonar system deployed in the ocean from an aircraft used for wide area search. Surface-drifting buoys are dropped at pre-determined locations and then drift with the currents in somewhat unpredictable ways. Acoustic source buoys are commanded to ping from an aircraft individually or simultaneously using different frequencies. Th ...

    SBIR Phase I 2017 Department of DefenseNavy
  3. Smart Caching of Imagery for Carry On System (SCICOS)

    SBC: DZYNE TECHNOLOGIES, LLC            Topic: N172112

    The use of imagery is essential to the Navys maritime domain awareness. Ability to retrieve relevant imagery and retain these data sets for exploitation drastically improves the Navys ability to conduct Intelligence Surveillance Reconnaissance operations. Current imagery management systems do not account for users query and metadata filtering priorities, which can lead to loss of valuable imagery ...

    SBIR Phase I 2017 Department of DefenseNavy
  4. Relevant Image Mosaic Image Management Algorithm Development

    SBC: INNOVATIVE DEFENSE TECHNOLOGIES, LLC            Topic: N172112

    For all fields, especially DOD and mission planners, rapid and accurate intelligence analysis is crucial and an image exploitation system plays an important role in that activity. Currently, however, imagery exploitation systems can quickly fill their available storage, leaving the mission planner or other end users with outdated or missing information. With IDTs proposed Imagery Retention Globall ...

    SBIR Phase I 2017 Department of DefenseNavy
  5. Spatial Link Analysis for Airborne Platforms (SLAAP)

    SBC: BARRON ASSOCIATES, INC.            Topic: N172119

    PMA-265 seeks a comprehensive RF propagation modeling tool that exploits three-dimensional antenna patterns, complete platform location and orientation specification, and terrain data to model air-to-ground, air-to-air, and air-to-satellite links over a wide range of RF frequencies. The solicitation authors want a robust tool that completely defines the 3-D RF environment and performs multiple typ ...

    SBIR Phase I 2017 Department of DefenseNavy
  6. Optimize Additive Manufacturing (AM) Post-Build Heat Treatment (HT) and Hot Iso-static Pressing (HIP) Processes for Fatigue Performance using an Integ

    SBC: TECHNICAL DATA ANALYSIS, INC.            Topic: N172106

    Additive manufacturing (AM) technology is becoming more popular for the fabrication of 3D metal products as it offers rapid prototyping and large design freedom. However, part quality and fatigue performance of components fabricated by current AM technology are not comparable to that produced by traditional methods. Post-build processing techniques, such as heat treatment (HT) and Hot Iso-static P ...

    SBIR Phase I 2017 Department of DefenseNavy
  7. Two Factor Authentication

    SBC: PROGENY SYSTEMS, LLC            Topic: N171040

    The requirement to support two factor authentication within tactical environments requires the balancing of security with efficacy. Sailors must be able to quick-swap on displays without requiring full operating system logoff/login. Disconnected networks are supported to meet requirements without relying upon PKI. Simple proximity badges with large-format PIN will allow an inexpensive modification ...

    SBIR Phase I 2017 Department of DefenseNavy
  8. Cyber Resiliency via Virtualization for Combat Systems

    SBC: INNOVATIVE DEFENSE TECHNOLOGIES, LLC            Topic: N171049

    Addressing cyber resiliency for Navy combat systems, such as AEGIS and SSDS, requires acute awareness of the impact that leveraging key cyber resiliency techniques and technologies will have on mission capabilities. The goal of cyber resiliency frameworks that support mission-critical systems are to minimize the time spent recovering and restoring a system from a cyber-attack and to maximize the t ...

    SBIR Phase I 2017 Department of DefenseNavy
  9. Agnostic Bi-Directional Data Exchange

    SBC: PROGENY SYSTEMS, LLC            Topic: N171058

    The Navy requests an innovative and expandable data transportation scheme for the AN/UYQ-100 Undersea Warfare Decision Support System (USW-DSS) that translates bi-directional data exchanges between disparate and diverse data sources into a common language. We propose the use of the Universal Gateway (UGW), a product already in-use with the Navy, to provide data translation, data mediation and data ...

    SBIR Phase I 2017 Department of DefenseNavy
  10. Biologic SONAR and Processing Network Improvement for Situational Awareness

    SBC: Advanced Systems/Supportability Engineering Technologies And Tools, Inc.            Topic: N171067

    The ASSETT Team, comprised of ASSETT, Inc., Texas A&Ms Dr. Smotherman and MNW Associates, intends to develop a machine learning process to improve performance of high frequency sonar. Our added learning process incorporating knowledge base, learning mode, and feedback from enhanced monitoring will enable the sonar to emulate the echolocation behavior of bats and dolphin. Dolphin have no problem in ...

    SBIR Phase I 2017 Department of DefenseNavy
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