This Sources Sought opportunity from Department Of Defense was posted on May 29, 2026. The submission period has ended. Browse the details below for market research, or find similar active opportunities.
Digital Twin Modeling & Software
Contract Overview
Solicitation details, issuing organization, response deadlines, documents, and interested companies for this government contract opportunity.
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AI Contract Overview
The Naval Research Laboratory’s Laboratory for Autonomous Systems Research (LASR) seeks to develop a high-fidelity digital twin that will replicate its physical facilities, equipment, and platforms. This digital twin will serve as a sophisticated simulation tool to support research in robotic and autonomous systems, communication and navigation, human-robot interaction, and machine learning by providing a realistic and accessible virtual environment. The primary aim is to enable controlled experimentation and extensive testing of robotic autonomous systems under various conditions in a cost-efficient manner that physical testing cannot match. This effort is currently in the sources-sought phase under solicitation number N00173-26-RFI-DS02, with a response deadline of June 15, 2026. The initiative holds no specific set-aside restrictions and falls under NAICS Code 541715, related to research and development services. The Naval Research Laboratory, located in Washington, DC, is soliciting information from qualified sources capable of meeting the requirements outlined in the Statement of Work. Interested parties can contact the point of contact, Daniel St. Denis, to discuss potential solutions and participation in this research project.
General Info
Agency
NAICS
Place of Performance
Washington, DC, 20375, USASet-Aside
Timeline
Submission Closed
Organization & Contact Information
Full Description
The Laboratory for Autonomous Systems Research (LASR), Code 1700 of the Naval Research Laboratory (NRL) provides facilities, equipment and other resources that enable research in the fields of robotic and autonomous systems (RAS), communication and navigation, human robot interaction and machine learning. To better support this research, the LASR facility requires a high-fidelity digital twin of its facilities, equipment and platforms.
The Digital Twin will accurately model and simulate the physical environments and various assets within the LASR facility, providing NRL researchers with an easily accessible tool for simulating robotic and autonomous system (RAS) behaviors in realistic digital environments. The Digital Twin shall enable controlled exploration and extensive test and evaluation of RAS across a wide range of conditions in a cost-effective manner not afforded by the physical environment.
NRL is seeking information from sources that may be capable of providing a solution that will achieve the requirements indentified in this notice and within the Statement of Work (SOW) attached.
