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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-Speed Simultaneous Multiple Object Detection System

    SBC: FREENT TECHNOLOGIES, INC.            Topic: MDA16T006

    FreEnt Technologies, Inc., A2Z Innovations, Inc., and the University of Alabama Aerospace Research Center (UAH/ARC) have teamed together to design, develop, and perform ground-based-demonstrations of a High-Speed Simultaneous Multiple Object Detection (HS-SMOD) System for MDA. The HS­SMOD system uses a simple but innovative technique of a passive fiber-optic grid and high-speed COTS opto-electr ...

    STTR Phase II 2018 Department of DefenseMissile Defense Agency
  2. Simultaneous Multiple Object Detection System

    SBC: Semquest, Inc.            Topic: MDA16T006

    An advanced hit detection technology is needed for MDA that can report impacts at hyper-velocities and at multiple hit locations. We present a technology with a high level of performance that leverages decades of hit technology experience and utilizes existing technologies developed under previous efforts. Our technology offers a low latency non-interpolated direct indicator of multiple hit locati ...

    STTR Phase II 2018 Department of DefenseMissile Defense Agency
  3. Additive Manufacturing Sensor Fusion Technologies for Process Monitoring and Control.

    SBC: ARCTOS Technology Solutions, LLC            Topic: DLA18A001

    This Phase II project aims to assemble the key set of sensor modalities that are needed to reliably view the key process anomalies and properties of laser powder bed fusion. The research team will down-select from the Phase I sensors investigated and integrate the sensors into a sensor fusion software package that facilitates data collection and synchronization, and eventually feedback control of ...

    STTR Phase II 2019 Department of DefenseDefense Logistics Agency
  4. Innovative Methodologies for Manufacturing of Lethality Test Articles

    SBC: MRL MATERIALS RESOURCES LLC            Topic: MDA17T001

    Metallic additive manufacturing (AM) is an attractive technology for the production of lethality test articles due to the potential for significantly reduced lead time and manufacturing cost. However, in order to be effective in providing accurate lethality data, the properties of the AM material have to match closely the properties of conventionally manufactured alloys found in real threat target ...

    STTR Phase II 2019 Department of DefenseMissile Defense Agency
  5. Multi-Physics Analysis Tool for High-Energy Gas Lasers

    SBC: Material Flow Solutions, Inc.            Topic: MDA16T001

    Based on the results of our Phase I work, one significant barrier to optimizing battery performance lies in understanding the relationship between bulk solids and particle flow properties and the flow into the die. Our hypothesis: an increase in quality batteries production can be achieved if powder preparation process can be optimized and the die filling process controlled. We feel that control o ...

    STTR Phase II 2019 Department of DefenseMissile Defense Agency
  6. Fine Powder Cathode and Separator Binder Characterization for Thermal Batteries

    SBC: CFD RESEARCH CORPORATION            Topic: MDA16T001

    Fine powder thermal battery cathode materials can exhibit challenging flow properties which makes processing with automated presses difficult.Granulating these powders can substantially improve flow properties and reduce the tendency for powder segregation during handling and pressing operations.Additionally, the properties of MgO that lead to good performance in thermal battery separators are not ...

    STTR Phase II 2018 Department of DefenseMissile Defense Agency
  7. Proactive Risk Monitoring Using Predictive Analytics

    SBC: ARCTOS Technology Solutions, LLC            Topic: MDA16T002

    Presently the missile defense systems are using a reactive and program-centric framework for assessing industrial base risk. The Phase I effort focused on developing a wide and deep network algorithm using Industrial Product-Support Vendor (IPV) Gen II program for predicting the probability of failure. The proposed Phase II effort leverages the Phase I work and will focus on three main goals:(1) I ...

    STTR Phase II 2018 Department of DefenseMissile Defense Agency
  8. Deep Machine learning for risk Analysis and Prediction (D-MAP) in supply chains

    SBC: Intelligent Automation, Inc.            Topic: MDA16T002

    Globalization and digitization have been driving the recent economic growth at the expense of raising the risk level in the supply chain related to fraud, security, and safety, while current practice of supply chain management and risk assessment is lagging far behind. Therefore, commercial industries and government agencies are seeking advanced supply chain risk assessment solutions, which can ef ...

    STTR Phase II 2018 Department of DefenseMissile Defense Agency
  9. Improving Analysis of Large Multidimensional Data through Parallel Processing & Explorative Visualization

    SBC: Frontier Technology Inc.            Topic: MDA18T001

    Using a combination of parallel processing and explorative visualization, a new and exciting solution for high-performance visual analysis of large multidimensional data is proposed. Steady volume flows are selected to demonstrate the strategy, methodology, techniques, and functionalities. Virtual Reality (VR) and Augmented Reality (AR) platforms will be adopted to unleash the power of explorative ...

    STTR Phase I 2019 Department of DefenseMissile Defense Agency
  10. Carbon nanotube coatings on electrochemical textured surfaces for advanced adsorptive baffles

    SBC: Faraday Technology, Inc.            Topic: MDA18T003

    This proposed STTR program addresses the challenge of developing advanced absorptive baffles to minimize stray and reflected light across the visible and infrared wavebands for exo-atmospheric optical sensors and seeker telescopes. To achieve this goal Faraday Technology and Pacific Northwest National Laboratory will develop electrochemically textured pyramidal surfaces with CNT black coatings as ...

    STTR Phase I 2019 Department of DefenseMissile Defense Agency
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