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The Award database is continually updated throughout the year. As a result, data for FY21 is not expected to be complete until September, 2022.

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.

  1. Achieving Transformative Productivity through application of Collaborative Augmented Reality Systems (CARS)

    SBC: Vecna Technologies, Inc.            Topic: DLA181001

    The Defense Logistics Agency (DLA) is seeking to automate parts of their procurement, logistics, and distribution processes by applying Augmented Reality (AR) solutions to increase efficiency and reduce costs. Vecna Robotics' world-leading automation consulting team is well-positioned to leverage a deep and broad understanding of advanced technology and its application to warehouse operations. Vec ...

    SBIR Phase I 2018 Department of DefenseDefense Logistics Agency
  2. AC Impedance Sensor for Collective Protection Filter Residual Life Indicator

    SBC: Guild Associates, Inc.            Topic: CBD10106

    Guild Associates, Inc. proposes to develop and evaluate an active electrochemical sensor based residual life indicator (RLI) for adsorptive carbon filters. The sensing system of the RLI will operate by analyzing the electrochemical state of the carbon within the filter and evaluate the remaining adsorptive reactive capacities of the filter. The sensor design will be challenged against an array of ...

    SBIR Phase I 2010 Department of DefenseOffice for Chemical and Biological Defense
  3. Additive Manufacturing Process Monitoring and Control Technologies

    SBC: ARCTOS Technology Solutions, LLC            Topic: DLA181002

    This project aims to make Laser Powder Bed Fusion (LPBF) additive manufacturing a practical tool for supply chain management for the Defense Logistics Agency.The key step is developing process standardization to make LBPF quality vendor independent. This project will seek to demonstrate the use of a promising high speed melt pool monitoring device as a practical means to establish such process sta ...

    SBIR Phase I 2018 Department of DefenseDefense Logistics Agency
  4. Additive Manufacturing Process Monitoring and Control Technologies

    SBC: Made In Space, Inc.            Topic: DLA181002

    Made In Space, Inc. (MIS) and Siemens PLM Software propose an integrated Automated Processing. Monitoring, Control and Remediation System (Aul) to provide a process monitoring and control capability. Made In Space, Inc. leads the effort based on integrating Made In Space, Inc., proven inspection sensors systems with a Digital Thread for Additive Manufacturing (DTAM) system, co-developed by Siemens ...

    SBIR Phase I 2018 Department of DefenseDefense Logistics Agency
  5. 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
  6. 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
  7. 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
  8. ADRESTIA: A Durable Ruggedized System of IMUs to Assess Gait and Balance in Field Environments

    SBC: Intelligent Automation, Inc.            Topic: DHA191010

    Providing timely physical and mental health support to Servicemembers and determining their readiness for duty after mTBI is crucial to maintaining mobility, survivability, lethality, and adaptability of our US Armed Forces. While research indicates that

    SBIR Phase I 2019 Department of DefenseDefense Health Agency
  9. Advanced Simulated Patient Intelligent Response Engine (ASPIRE)

    SBC: VCOM3D INC            Topic: DHA191002

    The goal of medical simulation-based training such as high-fidelity manikin simulators, part task trainers, and screen-based virtual patients, is to approximate real-life treatment experiences without risk to live patients. While the use of sensors has ma

    SBIR Phase I 2019 Department of DefenseDefense Health Agency
  10. Affinity Matrix System for Large-Scale Protein Purification

    SBC: Luna Innovations Incorporated            Topic: CBD12102

    Though vast improvements have been made in various protein expression platforms, limitations arise in the implementation of current purification methods. Traditional chromatographic methods are time intensive, carry heavy material costs, and are difficult to scale - reducing the benefits achieved in protein expression. Affinity-binding methods are promising for scale-up and swiftness of purificati ...

    SBIR Phase I 2013 Department of DefenseOffice for Chemical and Biological Defense
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