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Award Data

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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. A Semantic Technology for Materials Design and Development

    SBC: INOVEX INFORMATION SYSTEMS INC            Topic: OSD13C02

    The Materials Genome Initiative seeks to accelerate the pace of discovery and deployment of advanced material systems. To accomplish this goal, global stakeholders including materials labs, universities and standards bodies have collaborated on open initiatives and teamed with large corporations to develop cutting-edge tools that exploit materials data. While these tools move the industry forward ...

    SBIR Phase I 2014 Department of DefenseOffice of the Secretary of Defense
  2. A Semantic Technology for Materials Design and Development

    SBC: RJ LEE GROUP INC            Topic: OSD13C02

    Development of semantic technologies to support materials design and development. This project is intended to start constructing the building blocks for 1. Common Vocabulary Development, 2. Annotation, exposure, and discovery of existing published material properties and processes using standard and existing technologies, and 3. New ways to share and discover materials and processes.

    SBIR Phase I 2014 Department of DefenseOffice of the Secretary of Defense
  3. Materials Ontology Design and Development (MODD)

    SBC: DECISIVE ANALYTICS CORPORATION            Topic: OSD13C02

    Semantically Linked Data is widely seen as a revolutionary approach for maximizing the usefulness of existing and future information. In the materials domain, semantically linked materials data holds considerable promise with the ability to facilitate materials research and product development, improve communication, and open up avenues for new types of materials informatics. But realizing the pro ...

    SBIR Phase I 2014 Department of DefenseOffice of the Secretary of Defense
  4. Ultra-High Power Density Solid Oxide Fuel Cell Stack for High Efficiency Propulsion and Power Systems

    SBC: Redox Power Systems, LLC            Topic: OSD13EP4

    Redox is developing low temperature, high power density SOFC-based power generation systems for stationary and mobile applications. Basic cell and stack designs can be configured for a variety of applications because of the ability to operate over a range of temperatures at different efficiencies and power densities. This project will demonstrate a working cell and stack using JP-8 reformate as a ...

    SBIR Phase I 2014 Department of DefenseOffice of the Secretary of Defense
  5. Ultra-High Power Density Metal Supported SOFC Stack for High Efficiency Propulsion and Power Systems

    SBC: ATS-MER, LLC            Topic: OSD13EP4

    This Phase I SBIR OSD project proposes the development and testing of a porous metal anode-supported intermediate-temperature solid oxide fuel cell (PMS-IT-SOFC) that exhibits high electrochemical efficiency, high degree of fuel utilization (reformed JP-8, diesel, or dodecane), and low operating temperature characteristics intended for high efficiency, logistic-fueled propulsion and power systems ...

    SBIR Phase I 2014 Department of DefenseOffice of the Secretary of Defense
  6. Advanced Verification Toolset for Learning-Based UAS Operating in Uncertain Environments

    SBC: AURORA FLIGHT SCIENCES CORPORATION            Topic: OSD13HS2

    This effort proposes to develop a toolset to evaluate the effectiveness of a safety-controller that monitors a learning-based autonomous control system. The traditional use of deterministic verification techniques for real-time monitoring is not feasible in the presence of uncertainty. This effort would advance the recommended verification techniques to include non-deterministic approaches. The ...

    SBIR Phase I 2014 Department of DefenseOffice of the Secretary of Defense
  7. Virtual Verification Test Bed for Robust Autonomous Software Operation in Complex, Unknown Environments

    SBC: SOAR TECHNOLOGY INC            Topic: OSD13HS2

    Unmanned Autonomous Systems (UAS) are complex systems that exhibit a broad array of behaviors in a wide range of missions and environments. They can change their behaviors over time so the UAS rigorously tested at the range is not the same as the one operating in the field. Current testing methods are inadequate to verify that they are safe to operate in close proximity with humans. Testing Robust ...

    SBIR Phase I 2014 Department of DefenseOffice of the Secretary of Defense
  8. Combined Approaches for Verification and Validation of Run Time Protected Systems

    SBC: BARRON ASSOCIATES, INC.            Topic: OSD13HS2

    Barron Associates has assembled a team of researchers that include Dr. Sayan Mitra of the University of Illinois and Dr. Ufuk Topcu of the University of Pennsylvania. They will spearhead three complimentary investigations into the development of verification and validation (V & V) approaches for adaptive systems protected by run time assurance (RTA) mechanisms. Two of these approaches involve us ...

    SBIR Phase I 2014 Department of DefenseOffice of the Secretary of Defense
  9. Deep Analytics for Data in Cyber-Physical Systems

    SBC: EDAPTIVE COMPUTING INC            Topic: OSD13LD1

    Our proposal specifically addresses the stated requirements of the solicitation; we will develop and deploy tools, methods, and models for improving collaboration between human and cyber-physical systems. The proposed HARVEST solution builds on previous Edaptive Computing, Inc (ECI) knowledge and technology itself innovative to create a knowledge discovery system which extracts and integrates cy ...

    SBIR Phase I 2014 Department of DefenseOffice of the Secretary of Defense
  10. Deep Analytics for Data in Cyber-Physical Systems

    SBC: VIGILANT CYBER SYSTEMS, INC.            Topic: OSD13LD1

    Visual Analytics Managers (VAMs) for Cyber-Physical Systems (CPS) will allow users to gain insight into the CPS with state-of-the-art analytics and artificial intelligence and provide human-in-the-loop interaction with the CPS. Our VAM toolkit builds around a Scala Akka actor framework, allowing designers to define the sensors and actuators present in the CPS, select from a rich set of analytic ...

    SBIR Phase I 2014 Department of DefenseOffice of the Secretary of Defense
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