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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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Embedded Space Analytics
SBC: INFOBEYOND TECHNOLOGY LLC Topic: N16AT020Navy needs a real-time graph embedding tool for analyzing huge graphs (millions of nodes and billions of edges) from diverse sources. However, current approaches cannot provide dynamic and scalable graph analytics to signify the military value of tactical data. In this project, InfoBeyond advocates EStreaming (Embedding & Streaming) for scalable and efficient graph streaming. EStreaming promotes b ...
STTR Phase II 2017 Department of DefenseNavy -
Fast and Flexible Differential Equation Model Fitting with Application to Pharmacometrics
SBC: Metrum Research Group LLC Topic: N16AT016We are developing a platform for pharmacometric data analysis workflow that is much more flexible and efficient than anything else on the market. This will be accomplished by (1) developing new functions within Stan, a widely used, open-source, probabilistic programming language and Bayesian inference engine, for computationally efficient data analysis using complex differential equation models, ( ...
STTR Phase II 2017 Department of DefenseNavy -
Risk-Aware Navigation and Guidance for Resilience (RANGR)
SBC: BIHRLE APPLIED RESEARCH INC Topic: N17BT034Because traditional methods for assessing risk in UAS operations with the National Airspace (NAS) are unavailable, alternatives must be sought. As such, the work detailed within this proposal can be split into two significant parts. The first part is the identification of information sources, both open and commercial, from which databases of inferred population-based risk can be generated. The sec ...
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 -
Minimum-Risk Planning and On-Board Replanning for UAS Operations
SBC: BARRON ASSOCIATES, INC. Topic: N17BT034Current aircraft operations within the National Airspace System (NAS) rely heavily on the presence of an on-board pilot to safely manage the flight. Integration of Unmanned Aircraft Systems (UAS) into the NAS requires a high confidence that these unmanned aircraft operations can meet or exceed the safety afforded through manned operations. Specifically, these UAS operations must not pose an undue ...
STTR Phase I 2017 Department of DefenseNavy -
Dynamically Reconfigurable Mission Control and Performance (DREAM CAPER)
SBC: DZYNE TECHNOLOGIES, LLC Topic: N17BT035The Navys Common Control System (CCS) plan for managing multiple Unmanned Aerial System (UAS) and manned aircraft requires mechanisms to focus the operators attention as quickly as possible to changes in the environment that will affect mission success. The planned evolution of the CCS to fully autonomous operation further requires that these changes and their effects on the mission be identified ...
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 -
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 -
Materials Modeling Tool for Alloy Design to Streamline the Development of High Temperature, High-Entropy Alloys for Advanced Propulsion Systems
SBC: TECHNICAL DATA ANALYSIS, INC. Topic: N17BT031The recent alloy developments involving high entropy alloys (HEAs) are paving the way for the development of high temperature refractory metal alloys with stable single phase microstructures at ambient conditions. Development of HEAs is an emerging field and our understanding of these new materials is still very limited and preliminary. During past decades, much attention has been given to MoSiB a ...
STTR Phase I 2017 Department of DefenseNavy