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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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Techniques to Adjust Computational Trends Involving Changing Data (TACTIC-D)
SBC: OASYS, INC. Topic: N17BT032The Navy seeks technology based on statistical or computational methods to assist in the continued tracking of training performance and proficiency trends as underlying tactical data changes. OASYS, INC. and the ITCS at UAH proposes to exploit the benefits of modeling the underlying cause-effect structure of Navy data, rather than the data itself. This approach makes the model and analytical metho ...
STTR Phase I 2017 Department of DefenseNavy -
Risk-Based Unmanned Air System (UAS) Mission Path Planning Capability
SBC: ACTA, LLC Topic: N17BT034In this Phase I Project ACTA and its partners will demonstrate the feasibility of developing a risk-based mission path planning (RB MPP) approach. Areas of interest to the Navy where a RB MPP address critical needs include enabling less restrictive UAS operations within the US National and Foreign Airspaces. The Phase I will demonstrate feasibility with a two-step approach. The first step will dem ...
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 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 -
Optimized Build Plate Design Tool for Metal Laser Powder Bed Additive Manufacturing
SBC: 3DSIM LLC Topic: N17BT033Build plate optimization is a challenge in additive manufacturing requiring multiple iterations to optimize part and support structure configurations to minimize residual stress. Currently, computational build volume optimization consider efficient bed packing above the build plate in 3 dimensions without optimizing global residual stress. Thus, multiple experimental iterations are required to eli ...
STTR Phase I 2017 Department of DefenseNavy -
Integrated learning-based and regularization-based super resolution for extreme MWIR image enhancement
SBC: OPTO-KNOWLEDGE SYSTEMS INC Topic: N17AT016OKSI and Northwestern University propose to develop a super-resolution (SR) methodology for mid-wave infrared (MWIR) imagery that produces extreme enhancement of low resolution images. Image enhancement of at least 4x is expected using a standard imaging system. OKSI and Northwestern University will also develop a detector-limited imaging system specifically designed to be used with the SR methodo ...
STTR Phase I 2017 Department of DefenseNavy -
High Density Capacitors for Compact Transmit and Receive Modules
SBC: Bioenno Tech, LLC Topic: N17AT011Development of a new generation of high-energy-density capacitors for power conversion/conditioning systems will be beneficial to reduce the size, weight, and cost of resultant transmit and receive (T/R) modules in modern radar and electronic warfare transmitters. Among capacitor technologies available, multilayer ceramic capacitors (MLCCs) and polymer-ceramic composite dielectric based capacitors ...
STTR Phase I 2017 Department of DefenseNavy -
Video and Audio Data Extraction for Retrieval, Ranking, and Recapitulation
SBC: ONAI INC. Topic: N17AT021We propose a multi-part system to process, understand, and summarize video streams. Our approach involves processing video and audio jointly; uses the latest advances in captioning and automatic speech-recognition to construct text narratives for the video; and uses NLP techniques to summarize and produce a reliable relevance ranking of these videos. We address all six technical challenges identif ...
STTR Phase I 2017 Department of DefenseNavy -
Cyberspace Operations Degraded Exercise & Synthetic Training Architecture (CODESTAR)
SBC: SOAR TECHNOLOGY INC Topic: N17AT023The majority of todays cyberspace training is conducted on dedicated, closed network virtual ranges that provide the basic services and controls necessary to train DoD Cyberspace Mission Forces on their primary tasks and missions [Wells,2015]. These ranges operate independently from the traditional M&S environments used to conduct battlestaff and Fleet synthetic training (FST) that, in the real wo ...
STTR Phase I 2017 Department of DefenseNavy -
Degraded Synthetic Training Using an Integrated Kinetic-Cyber Training Environment
SBC: Scalable Network Technologies, Inc. Topic: N17AT023Integration of kinetic training and cyber training will provide a unified platform for combined cyberspace/kinetic battlefield training for our warfighters. Such a training platform will support high-fidelity, multi-factor simulated engagements in which the trainee can be exposed to all domains that are simultaneously interacting with each other. Existing approaches do not accurately reflect the d ...
STTR Phase I 2017 Department of DefenseNavy