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Award Data
The Award database is continually updated throughout the year. As a result, data for FY23 is not expected to be complete until September, 2024.
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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Bayesian Urban Degradation Assessment
SBC: INTELLISENSE SYSTEMS INC Topic: NGA181004To address the NGA need for algorithms that fuse observables from over-flight operations and from ground sources to automatically estimatethe degradation of urban environments due to battle damage or natural disasters, Intellisense Systems, Inc. (ISS) proposes to develop a newBayesian Urban Degradation Assessment (BUDA) software system. It is based on the integration of multiple damage assessment ...
SBIR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency -
A stable, low cost, low power CO2 sensor for demand controlled ventilation
SBC: Matrix Sensors, Inc. Topic: DEFOA0001738"We propose to develop a stable, low-cost, low power CO2 sensor module that meets the requirements of the ARPA-E SENSORS FOA, namely, 30 ppm precision over a dynamic range of 400 ppm to 2000 ppm with 10 ppm drift per year. Existing optical non-dispersive infrared (NDIR) CO2 sensors simply cannot scale to the cost and power requirements of the FOA. We therefore propose a solid state architecture ...
SBIR Phase I 2018 Department of EnergyARPA-E -
Bilayer Nanofibers as Wearable Sensors for Detecting Fentanyl Compounds
SBC: Vaporsens, Inc. Topic: HSB0181001Drug overdose is now the leading cause of death for Americans under 50 years old, with fentanyl claiming more lives than any other drug.Alarmingly, the problem is increasing, with fentanyl overdoses claiming nearly twice as many lives in 2016 compared to 2015.In addition to users, first responders are at risk for coming into contact with fentanyl as they perform their duties.Fentanyl is extremely ...
SBIR Phase I 2018 Department of Homeland Security -
Miniature Intelligent Spectral Analyzer
SBC: Physical Optics Corporation Topic: HSB0181003To address the DHS need to rapidly detect radio interference of critical radio frequency (RF) communications channels utilized by first responders, Physical Optics Corporation (POC) proposes to develop a new Miniature Intelligent Spectral Analyzer (MISCAN) device based on a combination of commercial off-the-shelf (COTS) electronic components in a custom software-defined configuration along with in ...
SBIR Phase I 2018 Department of Homeland Security -
Advanced Receiver for Distressed Emitter Localization (ARDEL)
SBC: TOYON RESEARCH CORPORATION Topic: HSB0181002A majority of U.S. adults own a cell phone and are inclined to use it in emergency situations to call for assistance. Unfortunately, in areas where the density of cell towers is low, such as in rural and off-shore environments, the ability of the wireless network to geolocate the origin of the wireless signal is poor to non-existent. Under the proposed effort, Toyon Research Corporation will devel ...
SBIR Phase I 2018 Department of Homeland Security -
Remote Phone Locator for Improved Emergency Rescue
SBC: Physical Optics Corporation Topic: HSB0181002To address the Department of Homeland Security (DHS) need for a cell phone location finder for maritime and remote search and rescue (SAR), Physical Optics Corporation (POC) proposes to develop a new REmote Phone Locator for Improved Emergency Rescue (REPLIER). REPLIER leverages novel techniques recently developed at POC to extend the range of cellular communications and integrate commercial cellu ...
SBIR Phase I 2018 Department of Homeland Security -
Automated and Scalable Analysis of Mobile and IoT Device Firmware
SBC: RAM LABORATORIES Topic: HSB0181008As Internet of Things (IoT) and mobile devices become increasingly popular and widely used, the security of the firmware running on these devices is paramount.However, due to the lack of an efficient and scalable analysis framework, combined with the increasing pressure to get products to market as quickly as possible, the software running on these devices is never properly checked for security vu ...
SBIR Phase I 2018 Department of Homeland Security -
Resonant voltage regulator architecture eliminates 30-50% energy consumption of digital ICs
SBC: Empower Semiconductor Incorporated Topic: DEFOA0001736Empower Semiconductor has developed a resonant integrated voltage regulator (IVR) technology that can dramatically improve the energy efficiency of any digital CMOS IC. As Moore’s law has advanced, the plexity and power needs of digital ICs has grown dramatically. The voltages required by these ICs have lowered and the resulting voltage accuracy needs have become more stringent. Existing voltage ...
SBIR Phase I 2018 Department of EnergyARPA-E -
A Bidirectional, Transformerless Converter Topology for Grid-tied Energy Storage Systems
SBC: OPCONDYS INC Topic: DEFOA0001736Grid-tied energy storage systems provide stabilization to the electric grid that is necessary to accommodate the growing percentage of electricity generated by intermittent renewable energy sources such as wind and solar. Existing conversion systems between the storage media and the utility lines are large, costly and only 95%-98% energy efficient. In this ARPA-E project, Opcondys, Inc. will build ...
SBIR Phase I 2018 Department of EnergyARPA-E -
Low-Shot Detection in Remote Sensing Imagery
SBC: TOYON RESEARCH CORPORATION Topic: NGA172002Toyon Research Corporation proposes to research and develop algorithms for low-shot object detection, adapting popular techniques to address the complexities inherent in ATR for remote sensing. Traditional object detection algorithms rely on large corpora of data which may not be available for more exotic targets (such as foreign military assets), and therefore, traditional Convolutional Neural Ne ...
SBIR Phase I 2018 Department of DefenseNational Geospatial-Intelligence Agency