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BIM Modeling in Revit and Plant 3D

Active
Federal

Contract Overview

Solicitation details, issuing organization, response deadlines, documents, and interested companies for this government contract opportunity.

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The contract requires the development of LOD 400 Building Information Models using Autodesk Revit and Plant 3D, grounded in point cloud data captured from existing facilities. The deliverables must include detailed 3D models with embedded metadata such as line numbers, material types, and pressure ratings to ensure accuracy and compliance with industry standards for plant and infrastructure projects. The work is intended to support precise documentation and interoperability for maintenance, modification, and operational purposes within defense-related facilities. This is a subcontract opportunity under NAICS code 541490 for other scientific and technical consulting services, posted by the Department of Defense through the FA9101 AEDC PKP Procurement Branch. Responses are due by August 28, 2026, and performance is expected to be conducted at an unspecified location referred to as position 0. There is no set-aside designation provided, and while the point of contact information is not listed, the solicitation is accessible through the official SAM.gov portal for further details.

General Info

Develop LOD 400 BIM models using Revit and Plant 3D from point cloud data for defense facilities by August 28, 2026.

Agency

Department Of Defense → FA9101 Aedc Pkp Procrmnt BranchView Agency

NAICS

541490 - Other Specialized Design ServicesView NAICS

Place of Performance

0, TN, USA

Set-Aside

NONE

Documents

(0)

No documents available

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Timeline

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Organization & Contact Information

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AgencyDepartment Of Defense → FA9101 Aedc Pkp Procrmnt Branch
ContactsNo contacts available
OfficeN/A
Organization / Agency
Department Of Defense → FA9101 Aedc Pkp Procrmnt Branch
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Office AddressN/A
ContactsNo contact information available

Full Description

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Develop LOD 400 Building Information Models in Autodesk Revit and Plant 3D with embedded metadata (line number, material type, pressure rating) based on point cloud data.

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