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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. Additive Manufacturing Sensor Fusion Technologies for Process Monitoring and Control.

    SBC: ARCTOS Technology Solutions, LLC            Topic: DLA18A001

    Universal Technology Corporation (UTC) has teamed with the University of Dayton Research Institute (UDRI), Stratonics, and Macy Consulting to demonstrate not only the transitionability into commercial systems, but also to develop the data analytics and monitoring and control requirements to extract the full value fromseveral sensors, including the Stratonics ThermaViz, acoustic and profilometry se ...

    STTR Phase I 2018 Department of DefenseDefense Logistics Agency
  2. Additive Manufacturing Sensor Fusion Technologies for Process Monitoring and Control.

    SBC: SENVOL LLC            Topic: DLA18A001

    The Department of Defense (DoD) has a demand for out-of-production parts to maintain mission readiness of various weapons platforms. Additive manufacturing (AM) is an exciting and promising manufacturing technique that can make out-of-production parts and holds the potential to solve supply chain issues, such as high costs (i.e. for low-volume parts) and sole sourcing risks. The ability of AM to s ...

    STTR Phase I 2018 Department of DefenseDefense Logistics Agency
  3. Additive Manufacturing Sensor Fusion Technologies for Process Monitoring and Control.

    SBC: X-Wave Innovations, Inc.            Topic: DLA18A001

    Additive Manufacturing (AM) is a modern and increasingly popular manufacturing process for metallic components, but suffers from well known problems of inconsistent quality of the finished product. Process monitoring and feedback control are therefore crucial research areas with a goal of solving this problem. To address this concern, X-wave Innovations, Inc. (XII) and the University of Dayton Res ...

    STTR Phase I 2018 Department of DefenseDefense Logistics Agency
  4. 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
  5. 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
  6. Advanced Rocket Trajectory Propagation Techniques

    SBC: Reservoir Labs, Inc.            Topic: MDA17T002

    Reservoir Labs and Johns Hopkins University will develop alternative numerical solution techniques that improve computational loading, data storage, and data integrity for rocket vehicle trajectory modeling in MDA federated simulations.The objective of this program is to develop new techniques for trajectory propagation that are more suited for use in federated simulations than traditional methods ...

    STTR Phase I 2018 Department of DefenseMissile Defense Agency
  7. 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
  8. Additive Manufacturing of Metallic Materials for High Strain Rate Applications

    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 targets ...

    STTR Phase I 2018 Department of DefenseMissile Defense Agency
  9. Lightweight Magnesium Components of a Missile Body

    SBC: TERVES, LLC            Topic: MDA17T004

    Magnesium alloys have 35% lower density compared to aluminum, with improved temperature stability compared to high strength aluminum.They can also be fabricated with minimum gauge thicknesses considerably thinner than fiber composites, and are weldable, with much higher impact resistance.Traditional magnesium alloys, however, have had lower strengths than more developed aluminum alloys.Powder meta ...

    STTR Phase I 2018 Department of DefenseMissile Defense Agency
  10. Test Article Printing with Laser Additive Manufacturing (TAP-LAM) for Threat Surrogate Target Production

    SBC: MV INNOVATIVE TECHNOLOGIES, LLC            Topic: MDA17T001

    Optonicus proposes development of the TAP-LAM (Test Article Printing with Laser Additive Manufacturing for Threat Surrogate Target Production) powder bed fusion and directed energy depositions systems. The TAP-LAM metal additive manufacturing system will advance strategic missile defense system testing capabilities by improving 3D printing methods to rapidly produce large-scale threat surrogate ta ...

    STTR Phase I 2018 Department of DefenseMissile Defense Agency
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