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The Award database is continually updated throughout the year. As a result, data for FY23 is not expected to be complete until September, 2024.

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. Integrated Quantum Systems Design and Fabrication Technology

    SBC: Guided Particle Systems Inc.            Topic: AF19BT001

    Our proposal is focused on determining the need and feasibility for integrated quantum systems design and fabrication technologies to enable rapid research and development prototyping, and subsequent production, and an industrial base for integrated quantum machines and systems. We focus on the problem of field-able quantum systems for communication networks to support the Air Force as a use case ...

    STTR Phase I 2019 Department of DefenseAir Force
  2. Room Temperature Quantum Memory

    SBC: STREAMLINE AUTOMATION LLC            Topic: AF19BT001

    Quantum computer technology is so critical and strategic that the Air Force Research Laboratory is itself working on a quantum bit focused on the trapped ytterbium (Yb+) ion. The current technology based on entangling electrons, photons, or ions are challenging to put together in multiple qubits. To make a qubit stable, it is essential to protect it from outside interferences that can disrupt the ...

    STTR Phase I 2019 Department of DefenseAir Force
  3. Full Mueller Matrix Characterization of Imaged Samples using Digital Holography

    SBC: POLARIS SENSOR TECHNOLOGIES INC            Topic: AF18AT007

    The Phase II effort will be to clearly demonstrate the feasibility and build a prototype of a noncontact, high-quality holographic polarimetry system with pixel level depth and Mueller matrix information with a user-friendly interface to image and display this data. The measurements of each data product will be validated with trusted truth samples. The system will be reproducible and will have a d ...

    STTR Phase II 2019 Department of DefenseAir Force
  4. Portable Bioprinted Organoids for Physiological Monitoring

    SBC: CFD RESEARCH CORPORATION            Topic: AF19AT002

    hazardous chemicals such as JP8, chromium, and byproducts of led-free frangible ammunition and to hazardous environments. Of the many dangers Airmen face, the hypoxia-like unexplained physiological events pilots face are some of the most dangerous and elusive. Current wearable sensors cannot decouple complex, interdependent in vivo response. We propose to develop (design, fabricate, test, and demo ...

    STTR Phase I 2019 Department of DefenseAir Force
  5. Multi Scale Multi Fidelity Carbon-Carbon Manufacturing Process Modeling with Data Fusion

    SBC: CFD RESEARCH CORPORATION            Topic: AF19AT021

    The proposed effort aims to deliver a novel process model for carbon-carbon manufacturing to determine thermo-mechanical properties of these materials and their components, thereby enabling a faster cycle for material development for hypersonic platforms. The proposed solution consists of (1) requirement and functionality analyses, (2) a six-level model representing the key steps of the manufactur ...

    STTR Phase I 2019 Department of DefenseAir Force
  6. CIM-MIAS (Cyber Information Management and Mission Impact Analysis System)

    SBC: MODUS OPERANDI INC            Topic: AF18CT002

    The DoD lacks an multi-level security (MLS) cyber information management (CIM) system capable of collecting, sharing and disseminating cyber information containing threats, system vulnerabilities and mission impacts and risks for systems operating at multiple security levels. A system that can securely collect and persist this information from various systems operating at various security levels i ...

    STTR Phase I 2019 Department of DefenseAir Force
  7. Learner Engagement and Motivation to Learn Assessment and Monitoring System

    SBC: Design Interactive, Inc            Topic: AF17AT009

    Training can now be delivered on a large scale through emerging platforms, but training must be engaging to be effectively utilized. Key to providing training that makes a difference in the field is an understanding of how to induce high levels of engagement during learning and the ability to objectively assess engagement in real-time so that interventions can be tailored during training to optimi ...

    STTR Phase II 2019 Department of DefenseAir Force
  8. Mission and Information Assurance through Cyber Atomics

    SBC: SECURBORATION, INC.            Topic: AF17BT004

    Cyber Risk Assessments for Threatened Environments (CRATE) is a system that produces actionable, mission-level alerts when anomalous behaviors indicative of cyber-attack are discovered within deployed mission-critical cyber-systems. CRATE is particularly relevant to deployment scenarios involving third-party infrastructure, such as deployment to a Platform as a Service (PaaS) provider or other clo ...

    STTR Phase II 2019 Department of DefenseAir Force
  9. Electronically Dimmable Eye Protection Devices (EDEPD)

    SBC: Aegis Technologies Group, LLC, The            Topic: AF18BT003

    Electronically dimmable materials with sufficiently strong visible transmission shift, color neutrality, durability and switching speeds have eluded development since the search began nearly half a century ago. We demonstrate the potential for dynamic optical dimming using plasmonic nanostructures with electrodynamic simulations of promising plasmonic metamaterial architectures. In order to achiev ...

    STTR Phase I 2019 Department of DefenseAir Force
  10. High Speed High Accuracy Artificial Neural Networks for UAV based Target Identification

    SBC: UHV TECHNOLOGIES, INC.            Topic: AF18BT007

    The machine learning and artificial intelligence community has recently garnered much attention for ground breaking performance of novel neural network architectures for self-driving cars. One of the machine learning methods used in self-driving cars is semantic segmentation. In this fashion each pixel in an image is label with a class, allowing for contour-based image segmentation which is differ ...

    STTR Phase I 2019 Department of DefenseAir Force
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