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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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APU Silencing Technology Development
SBC: GREAT LAKES SOUND & VIBRATION INC Topic: OSD10EP3The proposed effort will result in an "universal" fan noise cancellation system for use with high performance fans used extensively in defense applications including auxiliary power unit (APU) applications. Fans are a critical noise source that impact the audible detection range of the platform. The importance of the fan noise for detection continues to increase as other technology improvements ...
SBIR Phase II 2015 Department of DefenseOffice of the Secretary of Defense -
Increasing the Specific Power of Epitaxial Lift-Off Solar Cells for Cost-Effective, High-Efficiency, Flexible Photovoltaics
SBC: MICROLINK DEVICES INC Topic: OSD13EP3Photovoltaics (solar cells) are an attractive technology to provide renewable energy sources for forward operating bases, man-portable power sources, and tactical applications. Solar arrays can provide base power greatly reducing the need for logistical fuels, continuous battery recharging for warfighters on the move, and integrated power sources for remote, autonomous systems, e.g. UAVs. To be ef ...
SBIR Phase II 2015 Department of DefenseOffice of the Secretary of Defense -
High Speed Non Ionizing Terahertz Measurement System to Replace Nuclear Gages
SBC: TeraMetrix, LLC Topic: HSB061010We propose a Phase II project to develop and prototype a flexible time-domain terahertz (TD-THz) instrument that can be marketed to customers currently utilizing nuclear source gauges. While nuclear gauges are an established technology, their radiological sources present on-going safety, security, regulation, and disposal concerns. A primary goal of this project is to establish that; when all tech ...
SBIR Phase II 2007 Department of Homeland Security -
FieldOps: A Unified Approach to UGV Interface Design, Sensor Data Compression, and Supervisory Control Based on Fields of Safe Travel
SBC: Quantum Signal LLC Topic: OSD13HS3This topic addresses the problem of robustly commanding and controlling unmanned ground vehicles operating in complex, unstructured environments. Current approaches to this task rely on dense scene reconstruction from a variety of sensor data such as LIDAR and video imagery. Scene representations are then relayed to a remote human operator who provides commands at varying levels of supervisory con ...
SBIR Phase II 2015 Department of DefenseOffice of the Secretary of Defense -
Decision Support Toolkits for Sytem of Systems Level Risk Modeling
SBC: MICHIGAN ENGINEERING SERVICES LLC Topic: 19OATS002DHS is preserving the safety and the security of America by preventing, foiling, and defeating attacks from a variety of adversaries. The increasing threats (both in terms of numbers and in terms of abilities) must be addressed successfully while facing an austere budget environment. In order to be able to "do more with less" having a capability for optimizing the resources and the assets which ar ...
SBIR Phase II 2019 Department of Homeland Security -
TRUST: Testing Robustness of UAS Safety Technology
SBC: SOAR TECHNOLOGY INC Topic: OSD13HS2It is understood that an autonomous unmanned air, ground, or sea vehicles can incur a near infinite decision space that is difficult to capture completely in extensive simulation. The response of these vehicles to untrained environments can potentially have unintended consequences to adversely affect safety. This is of particular concern when these vehicles are considered for collaborative manned/ ...
SBIR Phase II 2015 Department of DefenseOffice of the Secretary of Defense -
Mobile High-Intensity X-Ray Source Based on a 10 MeV Superconducting Electron Linac
SBC: Niowave, Inc. Topic: HSB0141007In the post 9/11 security environment, rapid cargo inspection that does not impede the flow of commerce has become a high priority. Cargo scanning using either radiographic imaging or active interrogation for Special Nuclear Material (SNM) requires high energy and high intensity x-rays. High intensity x-ray sources are especially important for active interrogation techniques such as prompt neut ...
SBIR Phase II 2015 Department of Homeland Security -
Microwave Vehicle Stopping
SBC: CYBERNET SYSTEMS CORPORATION Topic: HSB052002Cybernet Systems is developing a novel, nonlethal method for disabling an uncooperative vehicle called the MVS, or Microwave Vehicle Stopper. Our system transmits modulated microwave energy to the target vehicle that is tailored to disrupt the computation functions of the vehicle engine controller, safely slowing and stopping the vehicle. Inducing a car to stall without permanent damage generally ...
SBIR Phase II 2007 Department of Homeland Security -
Non-freezing Portable Vehicle Wash Tunnels
SBC: Integrated Solutions for Systems, Inc. Topic: HSB0121001The Non-Freezing Portable Vehicle Wash Tunnel is a light-weight, portable and cost-effective means of disinfecting vehicles and equipment However, a critical part of the decontamination process that has yet to be addressed is the application of disinfectant chemicals to the inside of livestock transport trailers and the vehicle undercarriage -especially those that have transported potentially infe ...
SBIR Phase II 2015 Department of Homeland Security -
QUINN (Quantum INspired Neural Networks)
SBC: SOAR TECHNOLOGY INC Topic: SCO183001Machine learning models are susceptible to adversarial attacks that make modifications to the input data in order to cause misclassifications. The root cause is the linearity of the decision boundaries of machine learning models in relation to their inputs. One promising direction is to represent the input data as a distribution. Quantum information science entails techniques for working with wave ...
SBIR Phase I 2019 Department of DefenseOffice of the Secretary of Defense