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Award Data
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.
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Integrated Quantum Systems Design and Fabrication Technology
SBC: Guided Particle Systems Inc. Topic: AF19BT001Our 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 -
Room Temperature Quantum Memory
SBC: STREAMLINE AUTOMATION LLC Topic: AF19BT001Quantum 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 -
Full Mueller Matrix Characterization of Imaged Samples using Digital Holography
SBC: POLARIS SENSOR TECHNOLOGIES INC Topic: AF18AT007The 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 -
Portable Bioprinted Organoids for Physiological Monitoring
SBC: CFD RESEARCH CORPORATION Topic: AF19AT002hazardous 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 -
Multi Scale Multi Fidelity Carbon-Carbon Manufacturing Process Modeling with Data Fusion
SBC: CFD RESEARCH CORPORATION Topic: AF19AT021The 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 -
CIM-MIAS (Cyber Information Management and Mission Impact Analysis System)
SBC: MODUS OPERANDI INC Topic: AF18CT002The 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 -
Learner Engagement and Motivation to Learn Assessment and Monitoring System
SBC: Design Interactive, Inc Topic: AF17AT009Training 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 -
Mission and Information Assurance through Cyber Atomics
SBC: SECURBORATION, INC. Topic: AF17BT004Cyber 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 -
Electronically Dimmable Eye Protection Devices (EDEPD)
SBC: Aegis Technologies Group, LLC, The Topic: AF18BT003Electronically 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 -
High Speed High Accuracy Artificial Neural Networks for UAV based Target Identification
SBC: UHV TECHNOLOGIES, INC. Topic: AF18BT007The 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