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: SA PHOTONICS, LLC Topic: N16AT024
SA Photonics is pleased to propose the SOCRATES free space optical communication and sensing system featuring the Photonic Optical Multicast Mast Unit (POMMU). SOCRATES enables 360 degree multicast capability of high bandwidth communication in addition threat search and track capability. SA Photonics will team with the Prof. Michal Lipson of the Lipson Nanophotonics Group at Columbia University wh ...STTR Phase I 2016 Department of DefenseNavy
SBC: Intelligent Automation, Inc. Topic: N15AT020
Intelligent Automation, Inc. (IAI) proposes to understand social bots behaviors, extract indicators, develop socio-computational models with predictive capabilities to detect bot activity, and implement them in a mature social media analytics software tool. Our approach will use predictive socio-computational models that exploit context, user, friends, temporal, and network features of social medi ...STTR Phase I 2015 Department of DefenseNavy
SBC: Advanced Technology And Research Corporation Topic: N20AT010
The overall goal of this STTR Phase I project is to develop a concept to mitigate the effects of motion/vibration for a shipboard material extrusion additive manufacturing (AM) system. NAVSEA has been installing advanced manufacturing equipment, including 3D printers, onboard ships in support of shipboard operations and to evaluate performance of the equipment in shipboard environments and in re ...STTR Phase I 2020 Department of DefenseNavy
SBC: OCEANIT LABORATORIES INC Topic: N21AT014
In this Phase I project, Oceanit will design a self-healing computing system for use on Navy vessels to keep a ship's primary functions operational in combat should the original computing system be damaged during an attack.STTR Phase I 2021 Department of DefenseNavy
SBC: RAM LABORATORIES Topic: N21AT014
As modern-day ships require more advanced applications and systems to run directly on the vessel, they require large amounts of computational resources to execute the complex software and algorithms. While these next generation capabilities provide immense value, the downside is that now the compute servers and clusters required to support these capabilities become single points of failure. To c ...STTR Phase I 2021 Department of DefenseNavy
SBC: Space Information Laboratories, LLC Topic: N15AT001
Space Information Labs (SIL) and South Dakota State University (SDSU) have teamed to provide Navy an innovative, but also producible, approach to a robust mission and safety critical Li-Ion battery man-agement system across Navy platforms to include aircraft, helicopters, UAS, missiles and directed energy weapons. SILs modular and scalable Li-Ion Intelli-Pack battery system will be designed to fro ...STTR Phase I 2015 Department of DefenseNavy
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: Intelligent Automation, Inc. Topic: N18AT013
Additive manufacturing (AM) bring revolutionary capabilities and is very attractive to various commercial and military applications. However, metal AM often results in components with various defects, which may have decisive impact on their mechanical properties. To address this critical concern of AM quality, in this research, Intelligent Automation, Inc (IAI) will develop and implement a materia ...STTR Phase II 2020 Department of DefenseNavy
SBC: FASTER LOGIC, LLC Topic: N20AT016
Whereas quantum computers stand to drastically transform computation for a number of existing and future problems, its realization in the near term produces certain challenges. Simulation and Emulation techniques make it possible to consider the advantages of quantum computation in real-world applications in cryptography, machine learning, signal processing, and cybersecurity. They also open t ...STTR Phase I 2020 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