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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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3D Acoustic Model for Geometrically Constrained Environments
SBC: HEAT, LIGHT, AND SOUND RESEARCH, INC. Topic: N16AT018Systems that operate in constrained environments depend on the acoustics in several ways. Harbor defense systems detect intruders (peopleand/or vessels) by either listening for their noises (passively) or by pinging on them and detecting their echoes (actively). Furthermore, suchsystems may also form the equivalent of an underwater cell phone network using sound to carry the information. The acous ...
STTR Phase II 2017 Department of DefenseNavy -
Conjugate heat transfer for LES of gas turbine engines
SBC: CASCADE TECHNOLOGIES INC Topic: N19BT027Current design tools for gas turbine engines invoke a variety of simplifying assumptions to estimate heat transfer to solid/metal engine components (e.g., isothermal boundary conditions). These approximations are often not valid, result in inaccurate predictions of heat transfer, and ultimately compromise the thermal integrity of propulsion and power systems. Wall-modeled large eddy simulation (WM ...
STTR Phase I 2019 Department of DefenseNavy -
Comprehensive Surf Zone Modeling Tool
SBC: Arete Associates Topic: N19AT010Areté Associates, along with STTR partner Rochester Institute of Technology (RIT), are proposing a comprehensive software capability for scene generation, object insertion, and performance modeling for passive and active EO COBRA sensors over the surf zone. The Surf Zone Modeling Tool (SZT) will incorporate several technologies, including: open-source and Areté-designed SZ ocean physics models, ...
STTR Phase I 2019 Department of DefenseNavy -
Compact and Low-cost High Performance Spectrometer Sensor based on Integrated Photonics Technology
SBC: ULTRA-LOW LOSS TECHNOLOGIES LLC Topic: N19AT023Ultra-Low Loss Technologies (ULL Technologies) is proposing in collaboration with Prof. Arka Majumdar from University of Washington (UW), to develop a compact, low-cost spectrometer module to be used for chemical sensing applications and to be fabricated using the process design kit (PDK) available through AIM Photonics multi-project wafer run (MPW). The team will combine ULL Technologies expertis ...
STTR Phase I 2019 Department of DefenseNavy -
Cognitive Risk Management for UAS Missions
SBC: Stottler Henke Associates, Inc. Topic: N17BT035Enabling operators to command and control multiple UAVs will require higher levels of supervisory control, enabling vehicles to operate autonomously during larger portions of each mission. For the foreseeable future, however, critical portions of each mission will require operators to apply their superior knowledge, judgment, and skills to assess the situation, monitor execution more closely and, ...
STTR Phase I 2017 Department of DefenseNavy -
Cognitive Adaptation and Mission Optimization (CAMO) for Autonomous Teams of UAS Platforms
SBC: OPTO-KNOWLEDGE SYSTEMS INC Topic: N17BT035OKSI and Professor Matthew Taylor will develop the Cognitive Adaptation and Mission Optimization (CAMO) command and control tool for teams of UAS platforms. CAMO will incorporate existing databases (e.g., NASA population maps, FAA airspace maps, etc.) as well as real-time data from UAS into a learning-based cognitive control solution that maximizes mission performance while minimizing risk for a t ...
STTR Phase I 2017 Department of DefenseNavy -
Cognitive Adaptation and Mission Optimization (CAMO) for Autonomous Teams of UAS Platforms
SBC: OPTO-KNOWLEDGE SYSTEMS INC Topic: N17BT035The Navy needs cognitive control capabilities that enable an autonomous robotic team comprised of a ground control station node and a team of UAS platforms to operate independently (or with minimal human oversight) while carrying out complex missions. A cognitive control capability needs to be developed that concurrently optimizes the balance of mission risk / performance with respect to the Navyâ ...
STTR Phase II 2019 Department of DefenseNavy -
Bonded Joint Analysis Method
SBC: M4 ENGINEERING, INC. Topic: N12AT004During Phase I and Phase II, M4 Engineering, Inc. and Sandia National Laboratories have created a unique bonded joint analysis methodology and associated software. During Phase II.5, the developed techniques will be further enhanced and a fully functional commercial analysis code (SIMULIA/Abaqus) plug-in will be created. The software plug-in will make the advanced technology accessible to all leve ...
STTR Phase II 2016 Department of DefenseNavy -
Body-worn Wireless Physiological Monitoring Network
SBC: Cognionics, Inc. Topic: N13AT021This STTR Phase II proposal continues our work towards building a simple, high quality and unobtrusive mobile physiological sensor platform. The capabilities of the Phase I prototype will be expanded by adding sensors to further acquire SpO2 and respiration in addition to forming a body area network for data collection across multiple points on a subjects body. A software infrastructure will also ...
STTR Phase II 2017 Department of DefenseNavy -
Blending Classical Model-Based Target Classification and Identification Approaches with Data-Driven Artificial Intelligence
SBC: TOYON RESEARCH CORPORATION Topic: N18BT033Toyon Research Corp. and the University of California propose to develop innovative algorithms to perform automatic target recognition (ATR), localization, and classification of maritime and land targets in EO/IR, LiDAR, and SAR imagery. The proposed algorithms are based on recent developments made at the University of California, which outline a strong mathematical framework for naturally blendin ...
STTR Phase I 2019 Department of DefenseNavy