Pre Demolition Asbestos Survey and Demolition Air Monitroing

Lewis County, New York is seeking qualified contractors to provide comprehensive pre-demolition asbestos surveying and air monitoring services for multiple condemned properties through Request for Proposal (RFP) No. 2025-104. The procurement requires contractors to conduct thorough asbestos surveys involving visual inspections and material sampling, produce detailed reports identifying asbestos-containing materials, and perform air monitoring during demolition and abatement activities. Contractors must ensure full compliance with OSHA, EPA, and New York State Department of Labor regulations throughout the project. The county will evaluate proposals based on a multi-criteria approach: 30% weight on experience and qualifications, 25% on methodology and technical approach, 20% on cost competitiveness, 15% on references and past performance, and 10% on schedule and availability. Proposals are due by 10:00 a.m. on May 9th, 2025, with the county planning to award the contract on June 3rd, 2025, and maintain pricing validity through December 31st, 2025.

The contract opportunity does not have a Service-Disabled Veteran-Owned set-aside, but does include a 30% Total MWBE (Minority and Women-owned Business Enterprise) participation goal, with the county strongly encouraging such firms to submit proposals. Contractors must provide comprehensive general liability insurance with minimum limits of $1,000,000/$2,000,000 and automobile liability insurance. The initial contract term is 12 months, with potential extensions up to two additional years if annual pricing increases do not exceed 3%. No incumbent vendors or previous contractors were identified for identical or substantially similar procurement contracts within the past five years. While specific budget ranges were not explicitly stated, the contract will cover asbestos surveying and air monitoring services across Lewis County, with the ultimate contract award to be determined by the Lewis County Board of Legislators based on best value considerations.