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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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STTR Phase I: Wireless High Temperature Sensor for Real Time Monitoring of Power Generation Turbine Engines
SBC: SENSATEK PROPULSION TECHNOLOGY, INC Topic: MIThis Small Business Innovation Research Phase I project is for the development of a wireless sensor for continuous and real-time measurement of the high temperature in gas turbines. The new sensor offers turbine manufacturers and owners/operators the capability to place small-sized sensors in hard to reach areas in the turbine, and transmit sensed data wirelessly thereby enabling heat loads to be ...
STTR Phase I 2018 National Science Foundation -
STTR Phase I: Development and Validation of Low-Cost Natural Gas Leak Detection Sensors and Analytics for Drone-Based and Handheld Deployments
SBC: NIKIRA LABS INC. Topic: CTThe broader impact/commercial potential of this project is the rapid, cost-effective detection of natural gas leakage to improve public safety, mitigate global climate change, and decrease product loss. Natural gas is the largest provider of power in the United States. However, more than 80 Tg of leakage occurs at well pads and pipelines during production alone. Such leakage poses a public health ...
STTR Phase I 2018 National Science Foundation -
STTR Phase I: Microscope-based Technology For Automatic Brain Cell Counts Using Unbiased Methods
SBC: Stereology Resource Center, Inc Topic: BMThe broader impact/commercial potential of this Small Business Technology Transfer (STTR) Phase I project is in automating the process of unbiased stereology, the state-of-the-method used in the life sciences for counting stained cells on tissue sections. Unbiased stereology allows neuroscientists to accurately analyze the size and number of brain cells, which are altered in many neurological diso ...
STTR Phase I 2018 National Science Foundation -
STTR Phase I: Rational design of highly sensitive and selective chemical sensors using structural color
SBC: DrinkSavvy, Inc. Topic: BTThe broader impact/commercial potential of this Small Business Technology Transfer (STTR) project will be the development of sensor-embedded "smart" drinkware (i.e., stirrers, straws and cups) to actively alert consumers prior to consumption of a "spiked" beverage, and thus provide a proactive way to prevent drug-facilitated sexual assault. This sensor technology is based on "smart" molecularly im ...
STTR Phase I 2018 National Science Foundation -
STTR Phase II: Autonomous Landing of Small Unmanned Aircraft Systems onto Moving Platforms
SBC: PLANCK AEROSYSTEMS INC. Topic: EWThe broader impact/commercial potential of this project will enable Unmanned Aerial Systems (UAS or drones) to safely and reliably operate from moving vehicles and moving vessels at sea. There is an immediate need for this capability in many industries. In commercial fishing, drones will replace manned aircraft for fish-finding operations, radically reducing cost and risk. In maritime security, dr ...
STTR Phase II 2018 National Science Foundation -
STTR Phase II: Nanostraw-mediated Immune Cell Reprogramming
SBC: Navan Technologies, Inc. Topic: BTThe broader impact/commercial potential of this Small Business Technology Transfer (STTR) Phase II project will be to develop a new tool to safely and nondestructively deliver genes and other materials into large numbers cells at the same time. New forms of therapies for cancer and other intractable diseases take advantage of a patient's own cells, re-engineered in the laboratory to target a tumor ...
STTR Phase II 2018 National Science Foundation -
Human Performance Optimization: Ketone Esters for Optimization of Operator Performance in Hypoxia
SBC: HVMN Inc. Topic: SOCOM17C001In the setting of altitude-induced hypoxia, operator cognitive capacity degrades and can compromise both individual and team performance. This degradation is linked to falling brain energy (ATP) levels and an increased reliance on anaerobic energy production from glucose. Ketone bodies are the evolutionary alternative substrate to glucose for brain metabolic requirements; previous studies have sho ...
STTR Phase I 2018 Department of DefenseSpecial Operations Command -
Human Performance Optimization
SBC: REJUVENATE BIO INC Topic: SOCOM17C001Special Operations Forces (SOF) are an integral aspect of the US military. SOF operators are among the most elite and highly qualified individuals in the U.S. military. As such, extraordinary physical and mental demands are placed upon them to excel in extreme environments for extended periods of time. This unrelenting cycle of combat deployments and intense pre-deployment training shortens the fu ...
STTR Phase I 2018 Department of DefenseSpecial Operations Command -
Inhibiting Prolyl Hydroxylase to Mimic Natural Acclimatization to High Altitude to Improve Warfighter Performance at High Altitude
SBC: Research Logistics Company Topic: SOCOM17C001Acclimatization is the long-term adjustment that humans experience when exposed for weeks or months to high altitude. Acclimatization is important in this context because a warfighter who is acclimatized to high altitude is immune to high altitude illness, has superior work capacity, and has cognitive function approaching that found at sea level. In other words, the acclimatized warfighter is opti ...
STTR Phase I 2018 Department of DefenseSpecial Operations Command -
System for Nighttime and Low-Light Face Recognition
SBC: Systems & Technology Research LLC Topic: SOCOM18A001Face recognition performance using deep learning has seen dramatic improvements in recent years. This improvement has been fueled in part by the curation of large labeled training datasets with millions of images of hundreds of thousands of subjects.This results in effective generalization for matching over pose, illumination, expression and age variation, however these datasets have traditionally ...
STTR Phase I 2018 Department of DefenseSpecial Operations Command