Balances & Scales PM/Calibration-DC_FB_FATM_TX_DI MA

The Alabama Department of Forensic Sciences is seeking an annual balance calibration service contract for laboratory equipment across five regional locations: Auburn, Birmingham, Huntsville, Mobile, and Montgomery. The solicitation covers calibration services for an estimated 41 balances, with specific quantities ranging from 6 to 12 units per location, to be completed between the time of award and September 30, 2025. Key requirements include scheduling service directly with each lab and providing on-site calibration without additional service trip charges. The contract opportunity is posted with a solicitation ID of 675d886c0e47bcff4f0bbdc2, with a posting date of December 13, 2024, and a response deadline of December 19, 2024. Potential vendors must submit pricing through the Alabama Buys electronic procurement system and must be registered in the system to participate. The department explicitly notes that budget constraints will influence award decisions, and vendors should carefully consider pricing to align with the agency's financial limitations.

No specific set-aside designations or restrictions on vendor types are explicitly mentioned in the solicitation documents. The contract appears open to qualified calibration service providers capable of servicing forensic science laboratory equipment across multiple Alabama locations. While the attached Standard Terms and Conditions document suggests standard state procurement requirements such as tax compliance and E-Verify participation, no specific disadvantaged enterprise provisions are highlighted. The procurement covers five counties: Jefferson, Limestone, Madison, Marengo, and Mobile, indicating a statewide service requirement. Although a precise budget range is not specified, the department's statement about budget considerations suggests potential cost sensitivity. Vendors should be prepared to demonstrate technical capability to calibrate forensic laboratory balances and provide comprehensive service across multiple regional locations within the specified timeframe.