Skip to main content
All United States tenders
United Statesservicesopen

W065--676-27-1-729-0001 EQUIPMENT OPTION YEAR RENEWAL/MRI TRAILER LEASE/TOMAH VA MC/LISA BEMIS (VA-27-00003886)

252-NETWORK CONTRACT OFFICE 12 (36C252)

The Department of Veterans Affairs (VA), Great Lakes Acquisition Center (GLAC), on behalf of the Tomah VA Health Care System in Tomah, Wisconsin, is soliciting quotations for the lease of one (1) fully operational mobile 1.5 Tesla (1.5T) Magnetic Resonance Imaging (MRI) system housed in a mobile trailer. The requirement includes transportation, delivery, installation, commissioning, preventive and corrective maintenance, equipment repairs, technical support, training, software and firmware updates, accessories, and all associated services necessary to maintain continuous operational capability. VA personnel will operate the MRI system and perform all patient imaging procedures. The anticipated contract will be firm-fixed-price, consisting of a twelve-month base period and four twelve-month option periods, with a potential six-month extension of services. The acquisition is being conducted as a competitive Service-Disabled Veteran-Owned Small Business (SDVOSB) set-aside under the streamlined commercial acquisition procedures of the Revolutionary FAR Overhaul (RFO) FAR Part 12, utilizing NAICS code 532490, Other Commercial and Industrial Machinery and Equipment Rental and Leasing.

AI proposal generator

Generate a structured solution proposal in 90 seconds

Kimi drafts an 8-section bid response — exec summary, technical approach, compliance matrix, indicative pricing, timeline, why-we-win — tailored to your company profile and this exact tender.

✓ Word + PDF + Markdown·✓ Editable·✓ Free regen if quality is poor
Generate proposalfrom €49 · or via subscription
View on source portal

Related opportunities

Similar tenders

Free tender alerts

Get a weekly digest of United States tenders

New United States tenders matching your interests, delivered to your inbox once a week — no app required. Add keywords and we'll filter the digest to match.