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Award Data
The Award database is continually updated throughout the year. As a result, data for FY22 is not expected to be complete until September, 2023.
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.
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Novel Approach to Hybrid High Temperature Superconducting Cable
SBC: TAI-YANG RESEARCH CO Topic: N15AT016To handle the so-called black start fault contingency, Energy to Power Solutions proposes the use of a novel hybrid cable design. The cable would be designed to handle the full 100 % electric power load under normal operating and battle conditions (i.e. a fully/partially functioning cryogenic cooling system operating at cryogenic temperatures ~ 50-60 K), and capable of handling 30 % of the rated p ...
STTR Phase I 2015 Department of DefenseNavy -
Novel Separator Materials for Achieving High Energy/Power Density, Safe, Long-Lasting Lithium-ion Batteries for Navy Aircraft Applications.
SBC: OCEANIT LABORATORIES INC Topic: N16AT008Oceanit proposes to develop and demonstrate novel, tailored, designer separator materials with optimized properties to maximize lithium-ion cell/battery performance, life, safety and reliability.
STTR Phase I 2016 Department of DefenseNavy -
Novel Thermal Management Solutions for Advanced Power Converter Applications
SBC: PC Krause And Associates, Inc. Topic: N21AT012Advancements in electronic warfare driven by sophisticated sensors and weapons are pushing shipboard power distribution systems to higher voltage, more power dense solutions. Reduced cost and increased flexibility necessitate solutions that are rapidly scalable and are characterized by longer life and lower maintenance. These objectives are in conflict, as increased power density reduces life and ...
STTR Phase I 2021 Department of DefenseNavy -
Object Cueing Using Biomimetic Approaches to Visual Information Processing
SBC: MAYACHITRA, INC. Topic: N14AT008Thousands of years of evolution have produced the human vision system that computers cannot replicate well. Humans are still unsurpassed in their ability to search for objects in visual scenes. To successfully detect objects in cluttered scenes, the human brain is thought to rely on multiple factors: prior probabilities of object occurrence, global scene statistics and object co-occurrence. Machin ...
STTR Phase II 2015 Department of DefenseNavy -
Operational Sand and Particulate Sensor System for Aircraft Gas Turbine Engines
SBC: HAL Technology, LLC Topic: N18AT023Gas turbine engines with prolonged exposure to sand and dust are susceptible to component and performance degradation and ultimately engine failure. Our proposed sensor will use an innovative hybrid and complimentary discrimination approach to incorporate material identification along with capability of size, size distributions, and concentration while maintaining the same form factor of the curre ...
STTR Phase II 2021 Department of DefenseNavy -
Optimization of Fatigue Test Signal Compression Using The Wavelet Transform
SBC: ATA ENGINEERING, INC. Topic: N18BT029ATA Engineering has developed a wavelet-based damage squeezing methodology for generating optimally compressed fatigue test signals that produce an equivalent amount of fatigue damage in a predictably reduced amount of time compared to the baseline (uncompressed) signals. Fatigue-critical signal characteristics (e.g., magnitude, phase, frequency, and sequencing relationships) are identified in the ...
STTR Phase II 2020 Department of DefenseNavy -
PACT: Personalized Account and Community management Tool
SBC: Intelligent Automation, Inc. Topic: N20AT017Social media platforms have enhanced many communities by facilitating online development of relationships, fostering collaboration, connecting friends and supporting activism. However, these platforms are also environments for people to bully and spread hate. Furthermore, adversaries of the United States and its allies have weaponized social media to spread disinformation. Intelligent Automation, ...
STTR Phase I 2020 Department of DefenseNavy -
PARTEL: Periscope video Analysis using Reinforcement and TransfEr Learning
SBC: MAYACHITRA, INC. Topic: N20AT007We propose a suite of video processing algorithms utilizing the machine learning (ML) techniques of artificial intelligence (AI) reinforcement learning, deep learning, and transfer learning to process submarine imagery obtained by means of periscope cameras. Machine learning (ML) can help in addressing the challenge of human failure of assessing the data of periscope imagery. Though pre-tuned blac ...
STTR Phase I 2020 Department of DefenseNavy -
Passive Acoustic Cued Electro-Optical (ACE-O) Detect and Avoid For sUAS
SBC: SCIENTIFIC APPLICATIONS & RESEARCH ASSOCIATES, INC. Topic: N21AT003Detecting and Avoiding (DAA) manned aircraft from small Unmanned Aircraft Systems (sUAS) remains the unsolved problem for safe integration of sUAS into civil airspaces where Navy UAS must pay Due Regard to the laws of civil aviation. The difficulties are manifold. The solution requires both ultra-low SWaP sensors that track aircraft over long ranges, providing 360o field-of-regard (FOR), and often ...
STTR Phase I 2021 Department of DefenseNavy -
Photonic Integrated Analog-to-Information Receiver
SBC: Freedom Photonics LLC Topic: N21AT004As complexity and performance requirements increases for RF sensors and systems for electronic warfare applications, the need for innovative and low-power compressive sensing (CS) technologies will become urgent in power constrained mobile platforms. There are several DOD and government application areas where this holds true and the high-performance CS technology to be developed in this program c ...
STTR Phase I 2021 Department of DefenseNavy