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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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RECONFIGURABLE OPTICAL SUPERCLASSIFIER
SBC: Digital Optics Inc. Topic: N/ATHE PRESENT PROGRAM HAS THREE TECHNICAL OBJECTIVES. THE FIRST IS TO CONSTRUCT A COMPUTER CONTROLLED VERSION OF A CONFIGURABLE OPTICAL SUPERCLASSIFIER THAT IS CAPABLE OF ACCEPTING A SYSTOLIC STREAM OF INPUT DATA. THE NEXT MAJOR OBJECTIVE OF THIS PROPOSAL IS TO DEVELOP A DETAILED DESCRIPTION OF THE BUS STRUCTURE THAT WILL BE REQUIRED TO FEED DATA INTO THE OPTICAL SUPERCLASSIFIER AT RATES THAT ARE CO ...
SBIR Phase II 1987 Department of DefenseDefense Advanced Research Projects Agency -
A NOVEL CONCEPT IS PROPOSED FOR THE DEVELOPMENT OF A PERSONNEL DOSIMETER FOR IONIZING RADIATION, SUCH AS, GAMMA RAY.
SBC: JP LABORATORIES INC Topic: N/AA NOVEL CONCEPT IS PROPOSED FOR THE DEVELOPMENT OF A PERSONNEL DOSIMETER FOR IONIZING RADIATION, SUCH AS, GAMMA RAY. THE DOSIMETER USES A SPECIALTY CLASS OF RADIATION SENSITIVE CONDUCTIVE POLYMERIC COMPOSITIONS. WHEN EXPOSED TO LOW DOSAGE OF IONIZING RADIATION, THE POLYMERIC COMPOSITIONS WOULD UNDERGO A SUBSTANTIAL CHANGE IN ELECTRICAL CONDUCTIVITY. AS A SLIGHT CHANGE IN CONDUCTIVITY CAN BE DETERM ...
SBIR Phase I 1985 Department of DefenseDefense Advanced Research Projects Agency -
NONLINEAR FREQUENCY ANALYSIS ALGORITHMS AND THEIR IMPLEMENTATIONS FOR NEW SURVEILLANCE SYSTEMS
SBC: Security Ventures Corp. Topic: N/AALGORITHMS BASED ON NONLINEAR FREQUENCY ANALYSIS OFFER THE POTENTIAL FOR A NEW GENERATION OF MORE POWERFUL SURVEILLANCE ALGORITHMS. THE FUNDAMENTAL ARCHITECTURES FOR THEIR COMPUTER IMPLEMENTATION ARE THE SUBJECT OF THIS STUDY.
SBIR Phase II 1987 Department of DefenseDefense Advanced Research Projects Agency -
ICAM On-the-Fly
SBC: CARDSMART TECHNOLOGIES, INC. Topic: HSB0191002Trusted identification and provisioning of public safety individuals is extremely difficult during the chaos and time criticality of emergency response operations. Previously unknown individuals must be verified/vetted/provisioned without the benefit of a thorough face-to-face, manual review. The problem is made worse by the lack of a universally accepted system for identity sharing and coordinati ...
SBIR Phase I 2019 Department of Homeland Security -
Quick User Vetting for a Multi-jurisdictional Event
SBC: Oasys International Corporation Topic: HSB0191002The Public Safety Community (Community) would like to share information between jurisdictions, but need to trust with a reasonable certainty that the users viewing this information are who they say they are. Similarly, the Federal government and other organizations need to be reasonably sure that their new users are accessing the right information online. Identity proofing a user, either remotely ...
SBIR Phase I 2019 Department of Homeland Security -
Cyber Risk Collaboration and Knowledge Tool (CRiCKeT)
SBC: CARDSMART TECHNOLOGIES, INC. Topic: HSB0191006Knowledge is empowering! Organizations equipped with timely cyber risk and defense knowledge are in a much better position to properly quantify and react to cyber risks. Surprisingly, many organizations are still poorly prepared with the needed information, experiences, and best practices to effectively combat sophisticated cyber threats.The Cyber Risk Collaboration & Knowledge Tool (CRiCKeT) is a ...
SBIR Phase I 2019 Department of Homeland Security -
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 -
Natural Rubber Production
SBC: American Sustainable Rubber Company, LLC Topic: ST18C001Rubber is pervasive in our economy, with over 50,000 products requiring natural rubber (NR), including military grade tires. Yet significant global shortfalls are projected. Rubber dandelion (Taraxacum kok-saghyz) produces natural rubber (cis-1,4, -polyisoprene) in root latex vessels (laticifers) almost identical to rubber from the tropical rubber tree (Hevea brasiliensis). Problem: Cost-effective ...
STTR Phase I 2019 Department of DefenseDefense Advanced Research Projects Agency -
AlGaN Based Solar-Blind Avalanche Photo Detectors and Arrays
SBC: NOUR LLC Topic: ST18C003It is here proposed to demonstrate AlGaN based solar-blind avalanche photodiodes and arrays operating in both linear and Geiger mode that would be suitable for replacing photomultiplier tube technology bio-agent detection, missile warning systems, and hostile fire identification. These objectives will be reached through a comprehensive R&D thrust in the areas of semiconductor material epitaxial gr ...
STTR Phase I 2019 Department of DefenseDefense Advanced Research Projects Agency -
Human Attributes & Behaviors Influencing Troubled Software (HABITS)
SBC: STAR LAB CORP. Topic: SB172007Developing secure software is notoriously difficult, partially evidenced by the increasing trend in vulnerabilities disclosed per year. While significant effort has gone into developing tools and automated test frameworks, human behavioral aspects of the software development process have remained relatively unexplored. These behavioral aspects, such as relying on inexperienced developers or prolon ...
SBIR Phase II 2019 Department of DefenseDefense Advanced Research Projects Agency