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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. Pseudospectral Optimal Control for Flight Trajectory Optimization

    SBC: STOCHASTECH CORPORATION            Topic: N15AT006

    The computation and real-time implementation of controls in nonlinear systems remains one of the great challenges for applying optimal control theory in demanding aerospace and industrial systems. Often, linearization around a set point is the only practical approach, and many controllers implemented in hardware systems are simple linear feedback mechanisms. From proportional guidance in missiles ...

    STTR Phase I 2015 Department of DefenseNavy
  2. Pseudospectral Optimal Control for Flight Trajectory Optimization

    SBC: Systems Technology, Inc.            Topic: N15AT006

    Systems Technology, Inc. proposes to use and extend new technology from the University of Florida to enable real-time use of trajectory optimization to improve the guidance of autonomous air vehicles such as those used by the U. S. Navy. These range from missiles to UAVs. Specifically this work will involve enhancements, from the University of Florida, in hp-adaptive pseudospectral optimization. T ...

    STTR Phase I 2015 Department of DefenseNavy
  3. Quantifying Uncertainty in the Mechanical Performance of Additively Manufactured Parts Due to Material and Process Variation

    SBC: VEXTEC Corporation            Topic: N16AT004

    The Phase I objective is a proof of concept capability integrating process information, material properties and damage tolerance simulations into the Additive Manufacturing (AM) design certification process. VEXTEC has a toolbox of software and methods that consists of various software modules in multiple formats that are used to assess the durability of parts processed by traditional methods of c ...

    STTR Phase I 2016 Department of DefenseNavy
  4. Rapid Identification of Effects of Defects within Metal Additive Manufacturing (RIED-AM)

    SBC: Intelligent Automation, Inc.            Topic: N18AT013

    Additive manufacturing (AM) systems, especially metal AM, bring revolutionary capabilities, but suffer from a lack of understanding of the defects that exist within the components. In this research, based on selective experimental study and numerical simulations, we will develop an empirical database of defects and their effects on mechanical properties using Laser Powder Bed Fusion (LPBF) technol ...

    STTR Phase I 2018 Department of DefenseNavy
  5. Reduced Cavitation, High Efficiency Outboard Propulsors for Small Planing Craft

    SBC: CANDENT TECHNOLOGIES INCORPORATED            Topic: N17AT019

    The Candent Technologies “Reduced Cavitation, High Efficiency Outboard Propulsor for Small Planing Craft” Phase II program is structured to develop an advanced waterjet propulsor for the Combat Rubber Raiding Craft (CRRC). This new axial flow waterjet propulsion system is designed as a “bolt on” assembly that replaces the lower unit of the existing MFE 55 outboard motor. This new propulsio ...

    STTR Phase II 2018 Department of DefenseNavy
  6. Reliable Manufacturing of Scandia-Doped Tungsten Powders for Thermionic Cathodes

    SBC: NGIMAT, LLC            Topic: N15AT010

    In this STTR effort nGimat will partner with the University of Kentucky to develop a new process for manufacturing scandia-doped tungsten powder for use in vacuum tube cathode devices. While a significant amount of research over the last several decades has shown promise for scandate cathode materials, reliable manufacturing processes that enable commercialization of this technology have remained ...

    STTR Phase I 2015 Department of DefenseNavy
  7. Robust Mission and Safety Critical Li-Ion BMS for Aerospace Applications

    SBC: Space Information Laboratories, LLC            Topic: N15AT001

    Space Information Labs (SIL) and South Dakota State University (SDSU) have teamed to provide Navy an innovative, but also producible, approach to a robust mission and safety critical Li-Ion battery man-agement system across Navy platforms to include aircraft, helicopters, UAS, missiles and directed energy weapons. SILs modular and scalable Li-Ion Intelli-Pack battery system will be designed to fro ...

    STTR Phase I 2015 Department of DefenseNavy
  8. Situational Awareness for Mission Critical Ship Systems

    SBC: IERUS TECHNOLOGIES INC            Topic: N18AT009

    The US Navy operates a vast fleet of combat and support vessels with complex power control systems under the control and decision authority of human operators. Several current resources such as SPY-1D radar and Vertical Launch System (VLS) and future resources such as railgun, AMDR, and high energy laser (HEL) are energy hungry, exceeding current and planned power generation capability when deploy ...

    STTR Phase I 2018 Department of DefenseNavy
  9. Situational Awareness for Mission Critical Ship Systems using Probabilistic Knowledge Graph

    SBC: INTELLIGENT FUSION TECHNOLOGY, INC.            Topic: N18AT009

    This effort proposes to develop situational awareness methodologies for mission critical ship system based on the state-of-the-art probabilistic knowledge graph (KG) and deep learning. The proposed KG approach can incorporate various data fusion technologies for analysis of unstructured data (text, images, etc.) and structured data (signal feeds, database items, etc.) for automated decision suppor ...

    STTR Phase I 2018 Department of DefenseNavy
  10. Socio-computational Methods to Detect and Predict Bot Activity in Novel Information Environments

    SBC: Intelligent Automation, Inc.            Topic: N15AT020

    Intelligent Automation, Inc. (IAI) proposes to understand social bots behaviors, extract indicators, develop socio-computational models with predictive capabilities to detect bot activity, and implement them in a mature social media analytics software tool. Our approach will use predictive socio-computational models that exploit context, user, friends, temporal, and network features of social medi ...

    STTR Phase I 2015 Department of DefenseNavy
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