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Award Data
The Award database is continually updated throughout the year. As a result, data for FY22 is not expected to be complete until September, 2023.
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.
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Multi-Functional Nanotube-Based Sensor Array for Detecting Blood Coagulation Defects
SBC: Innosense Llc Topic: DHA19A001Defense Health Agency (DHA) is seeking a multi-functional diagnostic to determine blood coagulopathy in real time at point-of-care (POC). Blood coagulopathy, resulting in uncontrolled bleeding, is implicated in 80% of operating room deaths and 50% of trau
STTR Phase I 2019 Department of DefenseDefense Health Agency -
Two-color Infrared Laser Arrays for Scene Projection
SBC: ATTOLLO ENGINEERING, LLC Topic: A17AT018Current scene projection hardware is challenged to simultaneously meet the requirements for high peak temperature (> 2000K), high resolution (> 1Kx1K), response time < 1 ms, cryogenic and temporally uniform photon flux. MEMS, Resistor arrays, liquid crystals, and photonic crystals all suffer in one or more areas. MEMS suffer from flicker and low dynamic range. Resistor arrays suffer from low frame ...
STTR Phase II 2019 Department of DefenseAir Force -
Nanomaterials-Enabled Electrochromic Eye Protection Device
SBC: Innosense Llc Topic: AF18BT003This project will address the U.S. Air Force needs for single-piece, electronically dimmable eye protection device (EDEPD). In Phase I, InnoSense LLC (ISL) will demonstrate feasibility of the approach by incorporating electrochromic layer on curved polycarbonate substrates. Phase I tests will include optical and physical characterizations regarding transmission range, switching speed, haze, unifor ...
STTR Phase I 2019 Department of DefenseAir Force -
Wave-Optic Propagation Computation Enabled by Machine Learning Algorithms (WOPA)
SBC: Luminit LLC Topic: AF18BT004To address the U.S. Air Force need for Developing innovative wave-optics Propagation methods to model laser systems that are faster, efficient and more accurate, Luminit, LLC, and University of Southern California (USC) propose to develop Wave-Optic Propagation Computation Enabled by Machine Learning Algorithms (WOPA). The proposed algorithms will be based on cutting off redundant frequencies upon ...
STTR Phase I 2019 Department of DefenseAir Force -
Regional Radio Frequency Attenuation and Interference Monitor (RF-AIM)
SBC: Silvus Technologies, Inc. Topic: AF18BT005Silvus Technologies and the University of California Los Angeles propose a system design and a rapid development path for the Regional Radio Frequency Attenuation and Interference Monitor, or ‘RF-AIM’. RF-AIM is intended to provide continuous wide area awareness of RF spectrum availability in the presence of arbitrary interference and attenuation from natural or man-made causes. The t ...
STTR Phase I 2019 Department of DefenseAir Force -
Multiphysics Modeling of Dynamic Combustion Processes Using Pareto-Efficient Combustion Framework
SBC: STREAMLINE NUMERICS, INC. Topic: AF18BT010The objective is to develop zonal multi-physics capability for turbulent combustion simulations. The foundation of the proposed work is a novel Pareto-Efficient Combustion (PEC) framework for fidelity-adaptive combustion modeling. The PEC model utilizes a combustion submodel assignment, combining the low-cost flamelet-based models with the more expensive finite rate chemistry models where necessar ...
STTR Phase I 2019 Department of DefenseAir Force -
Vibration imaging for the characterization of extended, non-cooperative targets
SBC: Guidestar Optical Systems, Inc. Topic: AF19AT006Locating objects that vibrate is a way to discern potential threats and locate targets. However, current vibrometry technology typically measures only the global vibration of target and cannot create an extended spatial measurement of the vibration profile of the target. These solutions cannot identify what the target is, nor can they locate potential weak spots on the target, because they lack sp ...
STTR Phase I 2019 Department of DefenseAir Force -
Virtual Reality for Multi-INT Deep Learning (VR-MDL)
SBC: Information Systems Laboratories, Inc. Topic: AF19AT010Recent advances and successes of deep learning neural networks (DLNN) techniques and architectures have been well publicized over the last several years. Voluminous, high-quality and annotated training data, or trial and error in a realistic environment, is required to achieve the promised performance potential of DLNNs. Unfortunately for DoD and/or Intelligence Community (IC) applications of mult ...
STTR Phase I 2019 Department of DefenseAir Force -
High Energy, Safe, and Long-Life Next Generation Batteries Using Liquefied Gas Electrolytes
SBC: SOUTH 8 TECHNOLOGIES, INC. Topic: AF19AT014The team at South 8 Technologies is the first to develop a novel and patented Liquefied Gas Electrolyte chemistry for rechargeable lithium metal batteries which meets these Air Force requirements. The proposed non-hazardous chemistry has already demonstrated world-record performance on the lithium metal anode (99.9% plating/stripping efficiency over hundreds of cycles) while maintaining high perfo ...
STTR Phase I 2019 Department of DefenseAir Force -
Tunable bioinspired spatially-varying random photonic crystals
SBC: Electro Magnetic Applications, Inc. Topic: AF19AT017Metamaterials and photonic crystals are engineered composites that exhibit novel and interesting properties not found using ordinary materials. They have been shown to allow extraordinary control over the electromagnetic field, including molding the flow of energy, amplitude profile of the field, phase of the waves, intermodal coupling, and more. To achieve such control, a set of tools and procedu ...
STTR Phase I 2019 Department of DefenseAir Force