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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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CRANE: Cervical Readiness Using Analytics and Non-Invasive Evaluation
SBC: APTIMA INC Topic: DHA18B001Current cervical spine assessment methodologies are focused on subjective measures (i.e. pain reports) and range-of-motion (ROM) measures that only measure maximum head excursion and reach, but not dynamic motion. Due to report bias and existing incentive
STTR Phase I 2019 Department of DefenseDefense Health Agency -
Cervical Spine Health Improvement Products
SBC: SWITCHBOX INC Topic: DHA18B001Most standard-of-care tools and techniques for evaluating neck disorders are subjective, unreliable, and do not provide actionable information for providers, payers, and organizations to deliver efficient and effective care. This lack of objective neck he
STTR Phase I 2019 Department of DefenseDefense Health Agency -
Electron emitting graphene based composite coating for spacecraft charging mitigation
SBC: Faraday Technology, Inc. Topic: AF18AT011Faraday and Utah State University propose to demonstrate the feasibility of utilizing electrophoretic deposition to develop graphene features with controlled functional properties in order to address the DoD need for a spacecraft charging mitigation. Implementation of such materials in DoD mission areas is anticipated to lower costs, improve sustainability, and increase readiness. The proposed Pha ...
STTR Phase I 2019 Department of DefenseAir Force -
Deep Agent with Self-learning for Human Events Recognition (DASHER)
SBC: BOSTON FUSION CORP Topic: AF18BT002Automated analysis of human activities and events on the ground from aerial videos is key to extracting critical situational awareness and gathering actionable intelligence. It poses multiple challenges, including dynamic backgrounds that can be confused with foreground, multiple simultaneous activities in the field of view, occurrence of unknown activities, and large data volume and velocity. The ...
STTR Phase I 2019 Department of DefenseAir Force -
Electronically Dimmable Eye Protection Devices (EDEPD)
SBC: ALPHAMICRON, INCORPORATED Topic: AF18BT003The team of AlphaMicron Inc. and Kent State University proposes a novel LC technology, the dynamic polarizer, as a light control system for Battlefield Airmen and Pilots. The dynamic polarizer technology shares the performance capabilities of AlphaMicron’s e-Tint LC light control technology: instantaneously fails-to-clear, millisecond switching times, and customizable tint and color. Howeve ...
STTR Phase I 2019 Department of DefenseAir Force -
Carbon Nanotube FET Modeling and RF circuits
SBC: METIS DESIGN CORP Topic: AF18BT006The computing demands of future data-intensive applications far exceed the capabilities of today’s electronics and cannot be met by isolated improvements in transistor technologies or integrated circuit (IC) architectures alone. Carbon Nanotube Field-Effect Transistors (CNFET) technology has emerged as leading candidate for energy-efficient and high-performance digital systems. Unfortunatel ...
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 -
Airborne Video Inspection for Automatic Targeting with Ontology Reasoning (AVIATOR)
SBC: CHARLES RIVER ANALYTICS, INC. Topic: AF18BT007Improved cameras and unmanned air vehicles (UAVs) have led to an explosion in the amount of airborne imagery and video collected by Air Force assets, but there are not enough trained personnel to analyze this imagery in real time. Thus, targets of opportunity and threats go undetected until the chance to act on them has passed. Automatic target detection could alleviate the burden on analysts and ...
STTR Phase I 2019 Department of DefenseAir Force -
Small UAS compatible Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensors
SBC: NEVADA NANOTECH SYSTEMS, INC. Topic: AF18BT009Proposed herein are novel design methodologies to create sensors for chemical, biological, radiological, nuclear and/or explosive (CBRNE) detection aboard a Small Unmanned Aerial System (SUAS), as well as intelligent Bayesian-based plume analysis and source detection algorithms that offer capabilities for the Air Force above and beyond the state of the art. The assembled technical team of experts ...
STTR Phase I 2019 Department of DefenseAir Force -
PRIME: PRimary Integration and Maturation of EGS
SBC: THE DESIGN KNOWLEDGE COMPANY LLC Topic: AF18BT012Legacy satellite command and control capabilities and their related telemetry operate in a largely stove piped framework. Satellites are still commanded, controlled, and communicated with their ground station in a specific constellation structure. Each ground station is unique to a given constellation and the communications and telemetry are aligned to the specific constellation, underscoring an o ...
STTR Phase I 2019 Department of DefenseAir Force