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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. Active Sonar Statistical Estimation Tool (ASSET)

    SBC: DANIEL H WAGNER ASSOCIATES INC            Topic: N18AT002

    As underwater threats continue to evolve, active sonar systems and operators must evolve with them, requiring improvements to sources, receivers, signal processing algorithms, and search mission planning applications in order to maintain and improve detection rates. Any improvements in the latter requires a detailed and accurate understanding of the acoustic underwater environment, and the underly ...

    STTR Phase II 2020 Department of DefenseNavy
  2. Advanced Command and Control Architectures for Autonomous Sensing

    SBC: LAMBDA SCIENCE, INC.            Topic: N18BT030

    xxx

    STTR Phase II 2020 Department of DefenseNavy
  3. Advanced Measurement Capability of Turbine Engine Exhaust and Jet Flows through Non-intrusive Methods

    SBC: NON-CONTACT TECHNOLOGIES LLC            Topic: AF19CT010

    Advanced Air Force turbine engines with integrated engine exhaust systems require diagnostic flow measurements. Integration of these systems into altitude test cells creates problems with T&E requirements such as impingement problems, exhaust cooling spray blowback, acoustic emission issues and limited space for measurement systems. Propulsion system analysts need better understanding of low aspec ...

    STTR Phase II 2020 Department of DefenseAir Force
  4. ARCHER: an AI Readiness and Control Helmet for EEG Recognition

    SBC: OmniScience LLC            Topic: AF19BT001

    Transfer learning AI approaches shall be used to customize EEG BCI models to users for monitoring vigilance decrement and task disengagement in realistic use-cases seen by UAS operators and trainees.

    STTR Phase II 2020 Department of DefenseAir Force
  5. Assembly of Topological Qubits into a Register

    SBC: STREAMLINE AUTOMATION LLC            Topic: AF19CT010

    Quantum information technology will become a key enabler of future Air Force superiority. Topological insulator qubits are inherently stable and fault-tolerant because they exploit local topological symmetries and global boundary conditions of chalcogenide materials to yield unique, emergent quantum cooperative states. Wake Forest University and Streamline Automation have been working collaborativ ...

    STTR Phase II 2020 Department of DefenseAir Force
  6. Augmented Reality (AR) Software for Training Applications in F-16 Safety Checklist, AGE Hydraulic Test, and F119 Engine Fuel System

    SBC: DISTAT CO            Topic: AF19BT001

    A software platform using Augmented Reality (AR) can improve the training efficiency for aircraft and equipment maintenance. We propose to develop software solutions for the different use cases of four AF end user units. The objectives for Phase II projects include: 1) AR software for F-16 aircraft specific safety steps to ensure the maintainer properly check of the aircraft before maintenance wor ...

    STTR Phase II 2020 Department of DefenseAir Force
  7. Contour Based Image Segmentation

    SBC: VY CORP            Topic: AF18BT007

    Artificial intelligence and deep learning systems used for image analysis have a significant limitation: there is no way to explain how their decisions are made. Additionally, deep learning systems are heavily dependent upon RGB color which is highly variable necessitating the need for thousands of training vectors. Vy has developed a powerful set of algorithms collectively called Shape Based Mode ...

    STTR Phase II 2020 Department of DefenseAir Force
  8. CUES: Cyber-mediated Usable Emotional Sensors: Phase 2 Proposal

    SBC: CARLEY TECHNOLOGIES, INC            Topic: N19AT024

    Cataclysmic changes in how we communicate in cyberspace are dramatically altering our society, allowing information to spread faster, farther, and with less assurance of its accuracy, and enabling groups to form and recruit members on-line to foster social divides. Organized social media manipulation has more than doubled since 2017, with at least 70 nation states employing computation assisted te ...

    STTR Phase II 2020 Department of DefenseNavy
  9. Data Analytics and Machine Learning Toolkit to Accelerate Materials Design and Processing Development

    SBC: CFD RESEARCH CORPORATION            Topic: N19AT020

    The US Navy has identified refractory high entropy alloys (RHEAs) and metal additive manufacturing (AM) as enabling technologies to meet performance and sustainability targets for shipboard and aircraft systems. Key challenges include designing RHEAs and optimizing metal AM to achieve desired material properties for Navy propulsion applications. Developing materials and processes via traditional e ...

    STTR Phase II 2020 Department of DefenseNavy
  10. Design of Easy-To-Use Structural Alloy Feedstocks for Additive Manufacturing

    SBC: ELEMENTUM 3D, INC.            Topic: A18BT003

    There is a military and industry need for easy-to-use, versatile alloys for metals additive manufacturing (3D printing) that print consistently regardless of the specific process or machine and without requiring in-depth metallurgical or manufacturing knowledge. Such capability is critical for soldiers to be able to make needed items on demand in the theater of war. In addition, the alloy will be ...

    STTR Phase II 2020 Department of DefenseArmy
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