TORONTO - Infrastructure Ontario (IO) has issued a Request for Proposals (RFP) to three best-in-class private sector companies who have pre-qualified to compete for the Next Generation Real Property Services contract. This follows the Request for Qualifications (RFQ) issued in October 2021 through www.merx.com.

The successful company will work in partnership with Infrastructure Ontario (IO) to support one of the largest real estate portfolios in Canada, comprising more than 4,400 buildings and 194,000 acres of land, effectively delivering services in over 350 communities across Ontario. This work entails the delivery of day-to-day property management, asset renewal works, capital planning, smart building technology, occupancy planning, energy and environmental management, strategic sourcing and vendor management as well as lease administration, assisting IO to drive value for provincial taxpayers through the strategic management of the government’s multi-billion-dollar real estate portfolio.  

The Request for Qualification (RFQ) process was the first step in the procurement process where IO evaluated submissions and develop a shortlist of qualified proponents who have now been invited to respond to the RFP. The successful proponent will be capable of delivering efficient, effective, flexible and consistent services, a high level of transparency and customer service excellence.

As a result of the RFQ, the pre-qualified companies are as follows:

BGIS Global Integrated Solutions Canada LP

CBRE Limited

Jones Lang LaSalle Real Estate Services Inc.

Teams invited to respond to the RFP will begin preparing proposals that specify how they will use innovation and leverage technology to efficiently deliver Real Property Services across the provincial portfolio. Once submissions are received, IO and Government of Ontario will evaluate the proposals, select a preferred team, and negotiate a final contract. A successful bidder is expected to be announced in early 2023.  A fairness monitor will oversee the entire procurement process.

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