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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.
SBC: NGIMAT, LLC Topic: N15AT010
In this STTR effort nGimat will partner with the University of Kentucky to develop a new process for manufacturing scandia-doped tungsten powder for use in vacuum tube cathode devices. While a significant amount of research over the last several decades has shown promise for scandate cathode materials, reliable manufacturing processes that enable commercialization of this technology have remained ...STTR Phase I 2015 Department of DefenseNavy
SBC: Vacuum Process Engineering, Inc. Topic: N15AT010
Vacuum Process Engineering Inc. in collaboration with the UC Davis millimeter wave research group proposes to develop a large scale production process for nanocomposite scandate tungsten powder for advanced high current density and long life thermionic cathodes that have been previously demonstrated by UC Davis to be superior to the commercially available state-of-the-art. The produced cathodes de ...STTR Phase I 2015 Department of DefenseNavy
SBC: JEM ENGINEERING, LLC Topic: N16AT001
In our Phase I program, JEM and ASU will demonstrate a low cost manufacturing process to achieve the full theoretical hesitivity of a magnetic film that would enable greater effective hesitivity laminate. In Phase II we will develop a viable continuous process for two such materials to achieve light weight, low cost, and improved radiation efficiency; and we will seek to productize this process to ...STTR Phase I 2016 Department of DefenseNavy
SBC: IBC Materials & Technologies, LLC Topic: N16AT005
In this proposed SBIR program, IBC Materials & Technologies, in conjunction with our industry partner Mechanical Solutions, Inc. (MSI) and Texas A&M University, will leverage our knowledge and experience in the domain of industrial metallic coatings to develop a metallurgical coating solution for the Air Foil Bearing. IBC has deep expertise in a variety of industrial coating processes including mu ...STTR Phase I 2016 Department of DefenseNavy
SBC: ISSAC Corp Topic: N16AT009
The ISSAC Team leverages existing knowledge and expertise in power system monitoring, fault identification, localization and isolation in conjunction with rich, deep data analytics for pattern matching to devise a system for Medium Voltage Direct Current (MVDC) power system fault management. Because of the differences between AC and DC power grids there are a significant number of problems in deal ...STTR Phase I 2016 Department of DefenseNavy
SBC: Radiabeam Technologies, LLC Topic: N16AT010
The Department of the Navy has a need for the development of an additive manufacturing (AM) process for key vacuum electronic device components to meet on-demand, flexible, and affordable manufacturing requirements. The developed manufacturing method has a potential to reduce cost of vacuum electronics by as much as 70% as well as simplify and hence expedite production process of these devices by ...STTR Phase I 2016 Department of DefenseNavy
SBC: Intelligent Automation, Inc. Topic: N16AT013
For machinery control systems, forensics is a vital part to provide a cyber-protection strategy and aid in identification and troubleshooting of system malfunctions due to malicious and non-malicious events. A number of unique challenges exist for the forensic analysis of SCADA based systems. Components of a SCADA system are often resource constrained. In addition, SCADA based systems have a criti ...STTR Phase I 2016 Department of DefenseNavy
SBC: CLEARCUT ANALYTICS, INC Topic: N16AT016
DeepDive is a system for extracting relational databases from dark data: the mass of text, tables, and images that are widely collected and stored but which cannot be exploited by standard relational tools. If the information in dark data --- scientific papers, Web classified ads, customer service notes, and so on --- were instead in a relational database, it would give analysts access to a massiv ...STTR Phase I 2016 Department of DefenseNavy
SBC: Intelligent Automation, Inc. Topic: N14AT012
We propose the design and development of LCS radar modeling for training a radar modeling engine that capture the effects of environment, weather, jamming/interference and operator actions on radar display. The purpose of this engine is to reduce or eliminate the need for live training by faithfully capturing the scenarios encountered by a radar operator. The primary target radars for the propose ...STTR Phase II 2016 Department of DefenseNavy
High Fidelity Rotorcraft Towing Modeling and Simulation with Towed Magnetic Anomaly Detection SystemSBC: ADVANCED ROTORCRAFT TECHNOLOGY, INC. Topic: N15AT009
Towing of a Magnetic Anomaly Detection (MAD) system is an important aspect of rotorcraftmaritime operation. The oscillatory rotorcraft combined with the long and flexible towingcable, the low mass ratio of the towed body to the towing aircraft, and the rotor wake effecton the towed body presents a challenge for integration of a modern MAD system withrotorcraft platform. The research objective is t ...STTR Phase II 2016 Department of DefenseNavy