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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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Acoustic Intercept Receiver for Naval Special Warfare Undersea Vehicles
SBC: Information Systems Laboratories, Inc. Topic: N09T012Information Systems Laboratories (ISL) and Florida Atlantic University (FAU) propose to develop and test a system that uses existing signal processing algorithms coupled with innovative construction technology developed ISL under our E-Field sensor programs and FAU under UUV programs. The Challenge is to develop a small system package with the capability to intercept active threat emissions early ...
STTR Phase II 2010 Department of DefenseNavy -
Adaptive Fleet Synthetic Scenario Research
SBC: KAB LABORATORIES INC. Topic: N10AT044Synthetic scenario-based training of Navy personnel in the use of Navy SIGINT/IO systems has helped to reduce training costs, and it has enabled the personnel to be trained in an environment that sufficiently approximates real-world situations that could not otherwise be accomplished within the class room. However, scenario development is highly complex and involves a great deal of human effo ...
STTR Phase I 2010 Department of DefenseNavy -
Adaptive Fleet Synthetic Scenario Research
SBC: SONALYSTS INC Topic: N10AT044Together with our research institution partner, the University of Central Florida (UCF) Institute for Simulation and Training (IST), Sonalysts is pleased to submit this proposal to investigate the feasibility of creating a Service Oriented Architecture (SOA) framework for correlation and fusion algorithms that drive scenario generation across many information domains (communication, imagery, track ...
STTR Phase I 2010 Department of DefenseNavy -
Adaptive Learning for Stall Pre-cursor Identification and General Impending Failure Prediction
SBC: Frontier Technology Inc. Topic: N10AT008Frontier Technology, Inc. (FTI) and Northeastern University propose to investigate and develop an innovative approach to predict stall events of aircraft engines prior to occurrence and in sufficient time to allow the FADEC controller to adjust engine variables. The team will utilize vector quantization and neural network techniques to develop accurate models of engine behavior that will be used t ...
STTR Phase I 2010 Department of DefenseNavy -
Advanced Compressor Technology for Ultrafast Fiber Lasers
SBC: Raydiance, Inc. Topic: NAVY07T009Ultrafast laser technology offers compelling capabilities for national defense, state-of-the-art health care, and the materials processing industry. The development of this technology into commercial form factor hardware has been limited mostly by the size, cost, complexity, and/or pulse energy limitations of current ultrafast laser systems. Optical fiber based ultrafast lasers have dramatically d ...
STTR Phase II 2010 Department of DefenseNavy -
Advanced Compressor Technology for Ultrafast Fiber Lasers
SBC: Raydiance, Inc. Topic: N07T009Ultrafast laser technology offers compelling capabilities for national defense, state-of-the-art health care, and the materials processing industry. The development of this technology into commercial form factor hardware has been limited mostly by the size, cost, complexity, and/or pulse energy limitations of current ultrafast laser systems. Optical fiber based ultrafast lasers have dramatically d ...
STTR Phase II 2010 Department of DefenseNavy -
Advanced Data Processing, Storage and Visualization Algorithms for Structural Health Monitoring Sensor Networks of Naval Assets
SBC: ACELLENT TECHNOLOGIES, INC Topic: N10AT042Acellent Technologies Inc. and Prof. F. G. Yuan at North Carolina State University (NCSU) are proposing to develop a Hybrid Distributed Sensor Network Integrated with Self-learning Symbiotic Diagnostic Algorithms and Models to determine materials state awareness and its evolution, including identification of precursors, detection of microdamages and flaws near high stress area or in a distributed ...
STTR Phase I 2010 Department of DefenseNavy -
Advanced Materials for the Design of Lightweight JP5/JP8/DS2 Fueled Engines for Unmanned Aerial Vehicles (UAVs)
SBC: Northwest Uld, Inc. Topic: N10AT001Northwest UAV Propulsion Systems proposes using our purpose built heavy fuel engine designed and built in the USA for small unmanned aerial systems in the tier 2 & 3 class. We will be adding a lightweight ceramic material set combined with FEA (Finite Element Analysis) and heavy fuel atomizer (IRAD Project) to create a lightweight engine for a SUAS or STUAS class UAVs. The Ceramic material set is ...
STTR Phase I 2010 Department of DefenseNavy -
Advanced Real Time Battery Monitoring and Management System
SBC: Spectral Labs Incorporated Topic: N10AT013Although many off-the-shelf and semi-custom Battery Management Systems (BMS) are available, the Navy recognizes with this STTR Topic, and recent history illustrates, that a safety system with the required reliability and performance for mission critical applications has not been demonstrated. This proposal will detail the Spectral Labs Incorporated (SLI) and University of California, Davis (UCD) t ...
STTR Phase I 2010 Department of DefenseNavy -
Advanced Real Time Battery Monitoring and Management System
SBC: Technology Service Corporation Topic: N10AT013TSC and Purdue University will demonstrate a lab prototype of software and hardware capable of doing high speed monitoring of a Lithium-Ion cell. This monitoring needs to be specifically designed to predict failures. When a predictive failure is indicated a defensive countermeasure needs to be implemented. Our specific project goals are to: 1) Select a Lithium-Ion battery that consists of multiple ...
STTR Phase I 2010 Department of DefenseNavy