You are here

Award Data

For best search results, use the search terms first and then apply the filters
Reset

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. GECCO: Gecko-gripper for EOD with Cavitation Cleaning Operation

    SBC: VALOR ROBOTICS, LLC            Topic: N19AT011

    The objective of the Phase I proposal is to investigate the application of controlled cavitation cleaning technology in conjunction with gecko-inspired mechanical adhesion and soft elastomeric applicators for use in non-intrusive EOD operations. This investigation requires the proof-of-concept testing and validation of a controlled cavitation cleaning mechanism, and a soft robotic gecko-inspired m ...

    STTR Phase I 2019 Department of DefenseNavy
  2. Computerized Robotic Delayering and Polishing System

    SBC: SPECTRAL ENERGIES LLC            Topic: DMEA18B001

    The proposed research and technical objectives in this project deal with computerized automatic delayering and polishing system that would be applicable to both commercial and government semiconductor device research and development with applications including Failure Analysis (FA), Fault Isolation (FI), and Reverse Engineering (RE) of semiconductor microelectronic devices. This project could hel ...

    STTR Phase I 2019 Department of DefenseDefense Microelectronics Activity
  3. Automated In-situ Large-area De-processing of ICs with High Throughput

    SBC: MICRONET SOLUTIONS INC.            Topic: DMEA18B001

    The objective of this proposal is to demonstrate the feasibility of producing an automated delayering and imaging system with end point detection, material density detection with built in neural network error correction. This process, coined fast Automated Delayering-Image Capture System (ADICS) leverages off of the existing Pix2Net which is a proven automated imaging 3D microchip reconstruction ...

    STTR Phase I 2019 Department of DefenseDefense Microelectronics Activity
  4. Cervical Spine Health Improvement Products

    SBC: SWITCHBOX INC            Topic: DHA18B001

    Most standard-of-care tools and techniques for evaluating neck disorders are subjective, unreliable, and do not provide actionable information for providers, payers, and organizations to deliver efficient and effective care. This lack of objective neck he

    STTR Phase I 2019 Department of DefenseDefense Health Agency
  5. Real-Time Validation of Machine Intelligence Controlling Unmanned Vehicle Autonomous Operations

    SBC: XL SCIENTIFIC LLC            Topic: N18BT032

    To realize the full potential of autonomous systems, it is imperative that they behave safely, correctly, ethically, and legally. Providing these assurances through offline verification alone is insufficient, due to the complex and changing nature of autonomous systems. Online monitoring and corrective actions are necessary to account for uncertainties, and to increase trust between a human superv ...

    STTR Phase I 2019 Department of DefenseNavy
  6. Collective Meta-Reasoning Runtime Assurance of Machine Intelligence for Unmanned Autonomous Vehicles

    SBC: BARRON ASSOCIATES, INC.            Topic: N18BT032

    Barron Associates has teamed with a prominent researcher in the field of formal verification of cyber physical systems to propose a new paradigm in runtime assurance for complex autonomous systems controlled and operated by artificial machine intelligence. A two-stage approach is considered in which formal verification processes are first performed offline at algorithm design time. Online, during ...

    STTR Phase I 2019 Department of DefenseNavy
  7. Out-of-Oven Aerospace Composites

    SBC: CORNERSTONE RESEARCH GROUP INC            Topic: N18BT031

    Large aerospace composite structures currently require autoclaves and ovens to achieve desired performance which are expensive to purchase, costly to operate, and often limit part size and production rate. Ovens and autoclaves rely on convective heating which is inefficient, consumes large amounts of energy, and can be difficult to predict. Alternative cure processes using external heaters or hot ...

    STTR Phase I 2019 Department of DefenseNavy
  8. Large Component, High-quality Composite Fabrication Using Nanocarbon Heating Films

    SBC: LUNA INNOVATIONS INCORPORATED            Topic: N18BT031

    Autoclaves are typically used to fabricate high-quality composite components with acceptable thermal properties and low void volume. They provide elevated temperature processing cycles and external pressure required for adequate compaction to achieve these desired properties. However, autoclaves represent large capital and energy investment while limiting the size of fabricated parts and productio ...

    STTR Phase I 2019 Department of DefenseNavy
  9. High Efficiency Computation of High Reynolds Number Flows

    SBC: Technosoft, Inc            Topic: N13AT009

    Although advancements in CFD technology and high performance computing have proven to be effective and reasonably accurate in assessing the hydrodynamic performance of naval vessels, the effort required to develop associated analysis models remains a challenging and time consuming task. Decomposing and manipulating the design geometry for mesh construction, while capturing near-field and far-field ...

    STTR Phase I 2013 Department of DefenseNavy
  10. Mechanical Property Characterization and Modeling for Structural Mo-Si-B Alloys for High Temperature Applications

    SBC: Imaging Systems Technology, Inc.            Topic: N13AT012

    Under this STTR, Imaging Systems Technology (IST) in cooperation with Georgia Institute Technology (GIT) will develop and mature models to predict mechanical properties of refractory alloys with an eye toward tailoring these alloys for specific applications. In particular, this research will focus on addressing core aspects of Integrated Computational Materials Engineering (ICME) as it applies to ...

    STTR Phase I 2013 Department of DefenseNavy
US Flag An Official Website of the United States Government