You are here
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.
-
Active Control of a Scramjet Engine
SBC: Ahmic Aerospace LLC Topic: AF15AT19Scramjet engines are designed to operate across a wide Mach number range and typically incorporate isolator sections to provide sufficient back-pressure margin and prevent unstart. As military requirements become increasingly demanding, an active, closed-loop control system is necessary to maintain engine stability and power output. During Phase I, key components of a scramjet control system were ...
STTR Phase II 2016 Department of DefenseAir Force -
Adaptive Markov Inference Game Optimization (AMIGO) for Rapid Discovery of Evasive Satellite Behaviors
SBC: INTELLIGENT FUSION TECHNOLOGY, INC. Topic: AF17CT02Space superiority requires space protection and space situational awareness (SSA), which rely on rapid and accurate space object behavioral and operational intent discovery. The presence of adversaries in addition to real-time and hidden information constraints greatly complicates the decision-making process in controlling both ground-based and space-based Air Force surveillance assets. The focus ...
STTR Phase II 2019 Department of DefenseAir Force -
Adaptive multi-sensor wide area situational awareness system- MP 85-12
SBC: METRON INCORPORATED Topic: AF12BT14ABSTRACT: Existing machine learning algorithms have difficulty using all available data about a problem. This STTR will develop a new algorithm that can make full use of all available data, whether that data is labeled or not, and even when some data types or data resolutions are not available during operation. BENEFIT: This STTR will develop a novel machine learning algorithm for reasoning abo ...
STTR Phase I 2013 Department of DefenseAir Force -
Affordable Integrated Circuit Packaging and Assembly for High-Temperature Intelligent Components
SBC: MICROELECTRONICS RESEARCH DEVELOPMENT CORPORATION Topic: AF16AT17Micro-RDC proposes to demonstrate the feasibility of developing low-cost, low-weight, reliable packaging materials and processes to produce low-power advanced Integrated Circuits (ICs) that can operate continuously at temperatures between -55C and +225...
STTR Phase I 2016 Department of DefenseAir Force -
A High Performance and Cost Effective Ultra High Performance Concrete
SBC: i2C Solutions, LLC Topic: AF12BT04ABSTRACT: Adversarial installations, such as those housing the means for nuclear weapons production, are increasingly being constructed in heavily fortified locations and often using ultra high performance concrete (UHPC) as the construction material. As such, the U.S. Air Force has considerable interest in further developments of ultra high performance concrete (UHPC) to maintain an advantage o ...
STTR Phase I 2013 Department of DefenseAir Force -
A Multi-Modal State and Measurement Filter for RSO Tracking
SBC: DECISIVE ANALYTICS CORPORATION Topic: AF09BT11Joint Space Operations Center under the United States Strategic Command employs a worldwide network of 29 sensors, known as the Space Surveillance Network (SSN), to track more than 17,000 man-made objects in Earth orbit with sizes 10 centimeters or larger. Decisive Analytics Corporation and the University of Texas Austin Center for Space Research propose an innovate framework for solving stochast ...
STTR Phase I 2010 Department of DefenseAir Force -
Aptamer-based Nanofunctionalized OFET Biosensors
SBC: CORNERSTONE RESEARCH GROUP INC Topic: AF14AT11ABSTRACT: Researchers are identifying new biomarkers to help monitor, diagnose, and treat growing threats to the human body and enhance human performance. Recent sensor work combining biorecognition elements with field effect transistors (bio-FETs) has been shown sensitive and selective to biomarkers in the picomolar range with continuous detection; however device-to-device performance variability ...
STTR Phase II 2016 Department of DefenseAir Force -
A Trusted Computing Framework for Embedded Systems
SBC: Intelligent Automation, Inc. Topic: AF11BT15ABSTRACT: The damage and loss caused by attacks and security breaches have drawn attentions to develop secure and reliable systems for embedded systems. Compared to their desktop counterparts, embedded devices are facing more security challenges, such as the more possible physical access to a target device and more constrained computing environment (e.g., limited RAM and CPU power). Together, the ...
STTR Phase II 2013 Department of DefenseAir Force -
Autonomic Performance Assurance for Multi-Processor Supervisory Control
SBC: COLORADO ENGINEERING INC. Topic: OSD11T01Multi-processor computing systems are growing in capacity and usage. They encompass multiple, distributed implementations as well as heterogeneous, embedded computing architectures. The processing density enabled by such approaches holds promise for unmanned combat air vehicles (UCAVs) with their plethora of mission sensors and command and control processing requirements. However, the software ...
STTR Phase II 2013 Department of DefenseAir Force -
Autonomous Decision Making via Hierarchical Brain Emulation-- 19-009
SBC: METRON INCORPORATED Topic: AF19AT009The objective of this project is to develop human intelligence-inspired algorithms that exploit multi-modal sources of low and high quality data to achieve a series of objectives such as detection, localization, tracking, and classification. A Bayesian model-based hierarchical adaptive decision making (HADM) algorithm will be developed which includes multiple levels of decision making organized in ...
STTR Phase I 2019 Department of DefenseAir Force