You are here
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: 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: HEAT, LIGHT, AND SOUND RESEARCH, INC. Topic: N16AT018
Systems that operate in constrained environments depend on the acoustics in several ways. Harbor defense systems detect intruders (people and/or vessels) by either listening for their noises (passively) or by pinging on them and detecting their echoes (actively). Furthermore, such systems may also form the equivalent of an underwater cell phone network using sound to carry the information. The aco ...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: Datanova Scientific LLC Topic: N15AT017
Knowledge graphs are information networks with a specific topology. The topology is simple enough that we do not need graph grammars to specify the subgraphs that belong to a mission graph. Knowledge graphs can be modeled as terms of an algebraic data type in a type system called Flutes. Flutes was created by Datanova Scientific to rigorously analyze formal approaches to semantic integration. This ...STTR Phase I 2015 Department of DefenseNavy
Quantifying Uncertainty in the Mechanical Performance of Additively Manufactured Parts Due to Material and Process VariationSBC: VEXTEC CORPORATION Topic: N16AT004
The Phase I objective is a proof of concept capability integrating process information, material properties and damage tolerance simulations into the Additive Manufacturing (AM) design certification process. VEXTEC has a toolbox of software and methods that consists of various software modules in multiple formats that are used to assess the durability of parts processed by traditional methods of c ...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: TECHNOLOGY ASSESSMENT AND TRANSFER, INC. Topic: N16AT005
Technology Assessment and Transfer will demonstrate the potential of novel, low friction and low wear coatings that are capable of providing long term durability for air cycle machine foil bearings. A systematic approach with a high probability of success includes the following: unique low friction, wear resistant alloys and lubricating ceramic composites, magnetron sputtering, the ideal method fo ...STTR Phase I 2016 Department of DefenseNavy
SBC: POLARONYX INC Topic: N16AT004
This Navy STTR Phase I proposal presents an unprecedented NDI tool to quantify mechanical properties of metal parts made with laser additive manufacturing with material characteristics and process parameters. A fiber laser SAW and heterodyne detection is used with LIBS to study both in-process and post-process for both flat and shaped parts. It is the enabling technology for characterize the AM pa ...STTR Phase I 2016 Department of DefenseNavy
SBC: POLARONYX INC Topic: N15AT008
This Navy STTR Phase I proposal presents an unprecedented NDI tool to support laser additive manufacturing of metal parts by using fiber laser SAW and heterodyne detection. It is the enabling technology for real time characterize the AM parts in terms of temperature, cooling rate, grain structure, and defects. A proof of concept demonstration will be carried out at the end of Phase 1.Prototypes wi ...STTR Phase I 2015 Department of DefenseNavy