This Government Contract opportunity from Massachusetts was posted on August 17, 2026. The submission period has ended. Browse the details below for market research, or find similar active opportunities.

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Scan to BIM (Building Information Modeling) Services

Closed

State & Local

Submission Closed09/11/2026, 10:00:00 PM UTC

Contract Overview

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

Active Opportunities Like This One

NAICS: 541370

New

International

Develop an Inland Rock and Scree GIS layer

Solicitation # 2026/S 000-086585

Natural England is seeking a UK-based contractor, with a particular suitability for small and medium-sized enterprises, to develop England-wide inland rock and scree habitat maps. This entirely desk-based project requires extensive expertise in GIS, Earth Observation, habitat mapping, and biodiversity analysis to process aerial imagery and geological, topographical, and botanical datasets. The contract is a fixed-price engagement starting October 2, 2026, and ending no later than February 27, 2027. Key deliverables include GIS datasets in ESRI Shapefile or geodatabase format, completed metadata templates, a rolling data tracker, and any supporting code used for analysis. All outputs must be compatible with the Open Government Licence for public release. The contract will be awarded based on the most advantageous tender, weighted 60 percent on technical score and 40 percent on commercial score. Payment is structured via BACS transfer, with invoices due in December 2026 and February 2027, and 50 percent of the total contract value payable upon the final wash-up meeting. Under the selected intellectual property terms, the customer retains ownership of all new intellectual property. The contractor is responsible for proposing an accuracy-assessment method and ensuring data quality through specific attribute standards, including the use of FeatCode for calcareous and siliceous differentiation and the INRSC HabCode.

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AI Contract Overview

This subcontract for Scan to BIM Services supports prime contractors on UMass facility projects located in Worcester, Massachusetts. The selected provider will utilize LiDAR technology and 3D laser scanners to collect field data, which will then be processed into point cloud data to create intelligent 3D BIM models and technical drawings using software such as Revit or ArchiCAD. The contract is managed by the UMass Medical School under NAICS code 541370. Interested parties must submit their responses by September 11, 2026, to provide the necessary scanning and modeling deliverables derived from physical site scans.

General Info

Subcontract for LiDAR scanning and 3D BIM modeling for UMass Worcester facility projects.

Agency

Massachusetts → UMMS - UMass Medical SchoolView Agency

NAICS

541370 - Surveying and Mapping (except Geophysical) ServicesView NAICS

Place of Performance

Purchasing Department Worcester, MA, 01655, USA

Set-Aside

NONE

Documents

This scope was carved out of BD-27-1109-UMCEN-SHREW-132491.

The full solicitation package (21 documents), including the RFP, is on the prime solicitation, not on this scope.

View the prime solicitation

UMWOR-2027-1110 - Scan to BIM

AI Contract Breakdown

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Timeline

PhaseClosed

PostedAug 17

subcontract

Response DeadlineSep 11

Deadline has passed

Submission Closed

09/11/2026, 10:00:00 PM UTC

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Organization & Contact Information

AgencyMassachusetts → UMMS - UMass Medical School

ContactsNo contacts available

OfficeN/A

Organization / Agency

Massachusetts → UMMS - UMass Medical School

View Agency Profile

Office AddressN/A

ContactsNo contact information available

Full Description

Performs 3D laser scanning and point cloud conversion for prime contractors on UMass facility projects in Worcester, MA. Collects field data via LiDAR, processes point cloud data, and creates intelligent 3D BIM models and technical drawings. Utilizes 3D laser scanners and BIM software such as Revit or ArchiCAD. Delivers completed BIM models and technical drawings derived from physical site scans.