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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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Improved Particle Tracking Through Efficient Scale-Resolving Simulations and Advance Physics Models
SBC: Technology In Blacksburg Inc Topic: N23AT003It is well known that gas-turbine powered aircraft operating in brown-out conditions can ingest a significant amount of particles leading to reduced engine performance, a reduction in time between maintenance and increased safety concerns. As such, it is critical to be able to accurately model the impact of ingested particles in engines for both maintenance purposes and in the design of new, more ...
STTR Phase I 2023 Department of DefenseNavy -
Time Resolved Multiparameter Flow Diagnostic for Engine Exhaust Plumes
SBC: METROLASER, INCORPORATED Topic: N23AT005High temperature jet plumes emanating from aircraft engines and missiles produce effects that are of interest for threat detection, environmental noise, and engine development purposes. Optical and infrared emissions from plumes are sources of light and heat signatures, respectively, that can potentially be used for tracking or targeting vehicles in flight. Acoustic noise from jet plumes can pot ...
STTR Phase I 2023 Department of DefenseNavy -
Flat Lens Ultra-Compact Lightweight MWIR Zoom lens for small pixel
SBC: ATTOLLO ENGINEERING, LLC Topic: N23AT007Attollo Engineering will develop a zoom capable ultra-compact lightweight MWIR camera based off its commercial MWIR Griffin-HD8 camera with a zoom capable Metalens optic. The imager format is 1280 x 720 on an 8 micron pitch, among the smallest size in industry weighing just 240 grams without the optical lens, and was designed for small battery-operated Group 1 unmanned aerial vehicles (UAVs). The ...
STTR Phase I 2023 Department of DefenseNavy -
A Massively Parallel Scalable Processor for Order of Magnitude Increase in Acceleration of Photonic Simulations
SBC: VIRTUAL EM INC. Topic: N23AT008Virtual EM proposes develop a massively parallel ASIC for orders of mangnitude speed up of electromagnetic simulations of thin optical lenses made of metamaterials. The ASIC will implement a prorietary algorithm and will deliver scalable run-times that cut the simulation time by more than 1000x compared to today's state-of-the-art simulators.
STTR Phase I 2023 Department of DefenseNavy -
Tributyltin Oxide Prediction Application
SBC: LUNA LABS USA LLC Topic: N23AT010Marine fouling has always been a significant problem to manage. All the solutions have associated costs and additional maintenance. If the fouling is left untreated, fuel costs increase, and maneuverability is reduced. Eventually the ship must be docked and cleaned leading to availability and cleaning costs. Alternatively, the hull and other components below the water line can be coated or imbued ...
STTR Phase I 2023 Department of DefenseNavy -
Reduced Cost, Enhanced Degrees of Freedom Optics
SBC: Nanovox, LLC Topic: N23AT011A new optics technology platform will be developed that reduces the cost of dual-band short-wave infrared (SWIR) and mid-wave infrared (MWIR) optics for high-performance wide field of view (WFOV) imaging. The use of infrared optics has been increasingly adopted by the military, but the cost of wideband infrared optical systems remains a challenge. This study proposes to increase the available DOF ...
STTR Phase I 2023 Department of DefenseNavy -
UUV Sensor Transformation
SBC: Arete Associates Topic: N23AT013Areté and its teaming partner the University of Arizona (UofA) will develop a software tool that transforms sensor and metadata from a given sensor system into realistic synthetic data as if it were collected by a different sensor system. The exponential rise in available data from a multitude of sensor systems has driven commercial and academic entities to achieve significant innovations in arti ...
STTR Phase I 2023 Department of DefenseNavy -
Human Automation Teaming for Efficient Knowledge Extraction and Test Generation
SBC: BARRON ASSOCIATES, INC. Topic: N23AT014Effective tools for evaluating the proficiency of warfighters at employing complex systems in an operational setting are essential to ensure operational capability within the Navy and other branches of the DoD. Generating exams with answer keys is a time-consuming process, made more difficult by the complexity of both the systems and the operational employment of those systems. The burden is fur ...
STTR Phase I 2023 Department of DefenseNavy -
Knowledge Extraction for the Evaluation of Learning
SBC: IN-DEPTH ENGINEERING CORPORATION Topic: N23AT014To maintain undersea dominance in an environment of near peer adversaries the Navy must deploy new capabilities rapidly. In response, development contractors are adopting a DevSecOps culture with agile processes to meet the demand for new technology deployment. To keep pace, the training community needs innovative technology to rapidly update training knowledge bases and automatically generate exa ...
STTR Phase I 2023 Department of DefenseNavy -
AI-Based Learning Environment (ABLE) for Undersea Warfare (USW) Training
SBC: PACIFIC SCIENCE & ENGINEERING GROUP, INC. Topic: N23AT014To compete on the world stage of undersea warfare (USW), the US Navy’s USW systems are frequently updated with advanced capabilities. As a result, modernization trainers need to perform the challenging tasks of updating training material to reflect the new (and obsolete) capabilities. This process requires comparing legacy to updated documentation, identifying changes to system capabilities, and ...
STTR Phase I 2023 Department of DefenseNavy