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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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ARCHIMEDES
SBC: SOAR TECHNOLOGY INC Topic: N17AT004Evidence-based guidelines derived from the learning sciences literature can be applied to training-requirements decisions. However, accessing the state-of-the-art in the learning sciences and applying its lessons to specific training design and analysis questions can be difficult, especially for those not already familiar with the learning sciences. ARCHIMEDES, the software tool proposed in this e ...
STTR Phase II 2019 Department of DefenseNavy -
Additive Manufacturing for Naval Aviation Battery Applications
SBC: Texas Research Institute, Austin, Inc. Topic: N18AT008Texas Research Austin (TRI-Austin) will continue to partner with the University of Texas, Austin, to use additive manufacturing for fabricating and optimizing the lithium ion and electroactive metal electrode systems for which the team established proof of concept in the Phase I base period. The Aerosol Deposition Method (ADM) is a broadly applicable additive manufacturing technology that has been ...
STTR Phase II 2019 Department of DefenseNavy -
Additive Manufacturing for Naval Aviation Battery Applications
SBC: Storagenergy Technologies, Inc. Topic: N18AT008The objective of the efforts being proposed is to develop high energy density and power density batteries with long cycle life by high-speed additive manufacturing technologies.
STTR Phase II 2019 Department of DefenseNavy -
Cognitive Adaptation and Mission Optimization (CAMO) for Autonomous Teams of UAS Platforms
SBC: OPTO-KNOWLEDGE SYSTEMS INC Topic: N17BT035The Navy needs cognitive control capabilities that enable an autonomous robotic team comprised of a ground control station node and a team of UAS platforms to operate independently (or with minimal human oversight) while carrying out complex missions. A cognitive control capability needs to be developed that concurrently optimizes the balance of mission risk / performance with respect to the Navyâ ...
STTR Phase II 2019 Department of DefenseNavy -
Demonstration of a Local Carrier-Based Precision Approach and Landing System (LC-PALS)
SBC: TOYON RESEARCH CORPORATION Topic: N14AT009Toyon Research Corporation, together with the University of California, Santa Barbara (UCSB) propose to demonstrate a GPS-denied Local Carrier-based Precision Approach and Landing System (LC-PALS) that enables 3-D position, navigation and time (PNT) for platforms within range of an aircraft carrier equipped with one or more ADEPT-compliant beacons. Unlike the Global Positioning System (GPS), which ...
STTR Phase II 2015 Department of DefenseNavy -
Recovery of Rhenium from Superalloy Scrap
SBC: LYNNTECH INC Topic: OSD12T04Due to the limited amount of rhenium present in the earths crust (approximately 1-2 part per billion) there is a significant benefit to be realized in recovering for reuse the rhenium from scrap material, spent catalysts, or end-of-life superalloys. Rhenium is found in molybdenum-copper porphyry deposits. If rhenium is present in ore that is processed, it will show up in the resulting molybdenum ...
STTR Phase II 2015 Department of DefenseOffice of the Secretary of Defense -
100GBit/s Nanowire Low Drive Voltage Modulator
SBC: Freedom Photonics LLC Topic: N13AT005In this Phase II Small Business Innovation Research project we will be developing extremely efficient (40G), and compact modulators suitable for microwave analog links, next generation radar and other military applications. III-V semiconductor nanowires a
STTR Phase II 2015 Department of DefenseNavy -
Visual Tools and Progressive Automation for Complex Knowledge Management and Decision Support
SBC: Stottler Henke Associates, Inc. Topic: N17AT004We propose to adapt and automate the processes and technologies associated with evidence-based decision support to the Navy—providing a tool that can synthesize current cognitive and learning science knowledge and inform decisions so as to maximize the value gained for each training expenditure. We will develop a plug-play architecture that will allow us to make the best use of emerging technolo ...
STTR Phase II 2019 Department of DefenseNavy -
Maneuver Prediction and Avoidance Logic For Unmanned Aircraft System (UAS) Encounters with Non-Cooperative Air Traffic
SBC: RDRTEC INCORPORATED Topic: N13AT003Air-Borne Sense and Avoid (ABSAA) cooperative sensors like TCAS and ADS-B are non-developmental off-the-shelf items and as such their employment should be optimized to maximize their effect on levels of safety. The radar subsystem is a new construct whose role and employment has not been previously defined. In addition, the cost of the radar development and production costs are high and dependent ...
STTR Phase II 2015 Department of DefenseNavy -
Object Cueing Using Biomimetic Approaches to Visual Information Processing
SBC: MAYACHITRA, INC. Topic: N14AT008Thousands of years of evolution have produced the human vision system that computers cannot replicate well. Humans are still unsurpassed in their ability to search for objects in visual scenes. To successfully detect objects in cluttered scenes, the human brain is thought to rely on multiple factors: prior probabilities of object occurrence, global scene statistics and object co-occurrence. Machin ...
STTR Phase II 2015 Department of DefenseNavy