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Award Data
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.
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Surrogate Models to Accelerate High-Fidelity Physics Based Simulation
SBC: CORVID TECHNOLOGIES, LLC Topic: MDA22T003This topic focuses on developing fast-running, computationally efficient, surrogate models to be used in place of slow running, computationally expensive, high-fidelity physics-based models inside of end-to-end missile defense simulation frameworks. Recent advances in physics informed machine learning (PIML) have made possible the substantial speed improvement of physics-based models. Corvid Techn ...
STTR Phase I 2023 Department of DefenseMissile Defense Agency -
Physics-Informed AI Surrogate Models for Airworthiness Simulation
SBC: ISTARI, INC. Topic: MDA22T003The focus of this STTR proposal is on using Physics-Informed Machine Learning (PIML) and surrogate modeling to reduce the bottleneck of High-Fidelity Aeroelastic Stability models that are required for any airworthiness certification.Traditional approaches to solving targeted problems such as aviation certification often require the use of physics-based modeling and simulation (M&S) in combination ...
STTR Phase I 2023 Department of DefenseMissile Defense Agency -
Multifunctional Metamaterial Laser Energy Control
SBC: OXFORD DEFENSE NORTH CAROLINA LLC Topic: HR001121S000729Oxford Defense North Carolina, LLC (ODNC) and the University of California, Santa Barbara (UCSB) will collaborate to develop a beam control metamaterial surface in this Phase I STTR effort. A concern with laser beamed energy systems is the inadvertent exposure of operators and bystanders to inadvertently scattered or reflected laser energy. In an energy web system, multiple transmitters and recei ...
STTR Phase I 2022 Department of DefenseDefense Advanced Research Projects Agency -
Decentralized Data Fusion Algorithm for Multisensor Radiation Source Search
SBC: GLOBAL TECHNOLOGY CONNECTION, INC. Topic: DTRA21B003The Defense Threat Reduction Agency (DTRA) desires innovative technology solutions to link radiation detectors of various resolutions to accelerate and improve the efficacy of nuclear search operations. Global Technology Connection, Inc. (GTC), in collaboration with our Research Institute (RI) and industrial partners, proposes to develop a scalable, locally hosted data fusion algorithm to accurat ...
STTR Phase I 2022 Department of DefenseDefense Threat Reduction Agency -
A Low-Code Hosting Environment For Virtual Embedded Hardware
SBC: Embeddetech, Inc. Topic: MDA19T007In this proposed effort, Embeddetech identifies its general-purpose ‘low-code’ platform architecture as the ideal architectural choice to support hardware virtualization, after extensive market research and experimental development. The architecture provides a flexible hosting environment for target code dynamically executing on multiple simulated processors, executing in real time. Each simul ...
STTR Phase I 2020 Department of DefenseMissile Defense Agency -
Manipulation Analysis and Visualization (MAV) Tool
SBC: VIGILANT CYBER SYSTEMS, INC. Topic: MDA18T001Vigilant Cyber Systems, Inc. (VCS) proposes to design and develop the Manipulation Analysis and Visualization (MAV) Tool to enable users to analyze extremely large and diverse multi-dimensional datasets and gain insight into the data and the phenomena that produced the data. MAV will revolutionize analysis of modeling and simulation and test data by significantly enhancing user cognition and enabl ...
STTR Phase I 2019 Department of DefenseMissile Defense Agency -
Solar Blind Deep UV Avalanche Photo Detectors and Arrays
SBC: ADROIT MATERIALS, INC. Topic: ST18C003The objective of this project is to develop a compact and efficient avalanche photodiode (APD), operating between 200-250 nm, for implementation in the next generation bio-chem-detectors. The proposed detectors will be based on the AlGaN materials system and will be solar blind, highly sensitive, smaller, less expensive, and more robust than current UV detectors. Development of such APDs will enab ...
STTR Phase I 2019 Department of DefenseDefense Advanced Research Projects Agency -
Natural Rubber Production
SBC: EDISON AGROSCIENCES INC Topic: ST18C001Natural rubber is an essential manufacturing material that possesses performance properties that are superior to synthetic rubber for many product applications. However, natural rubber production is limited to a single species (rubber tree) in a limited geographic area (Southeast Asia) and is predicted to be incapable of meeting future demand. Producing rubber from another commercial crop such as ...
STTR Phase I 2019 Department of DefenseDefense Advanced Research Projects Agency -
Innovative Methodologies for Manufacturing of Lethality Test Articles
SBC: CORVID TECHNOLOGIES, LLC Topic: MDA17T001The overall goals of our effort are to reduce the cost and lead times of test articles while maintaining their fidelity. Corvid Technologies will partner with North Carolina State University to examine why metal alloys produced by AM processes differ in high strain-rate response compared to traditional foundry (TM) alloys at their CAMAL facility. We will identify the differences in response by exa ...
STTR Phase I 2019 Department of DefenseMissile Defense Agency -
Ultra-Low Power Physical Based Computation for Tactical Algorithm Design and Implementation
SBC: Mavric Semiconductor Inc Topic: ST15C002This proposal outlines an FPAA-based analog processing architecture that supports multi-chip module cascading, can be integrated into complex mixed analog-digital processing environments and can host sophisticated signal processing algorithms such as PDE-derived algorithms. The central innovation of the proposed effort lies in the physical device approach to embedded computing that breaks the ener ...
STTR Phase I 2016 Department of DefenseDefense Advanced Research Projects Agency