Multi-year
$2.88M

Awards C. Overra & Co. $2.88M to build a new gym and 16 classrooms at Coliseum College Prep

The Board is awarding the design-build contract for the Coliseum College Preparatory Academy Site Expansion Project to C. Overra & Co. The company will design and build a new gymnasium and classroom building with fourteen standard classrooms and two laboratory classrooms. The price is a lump sum, with work scheduled from August 29, 2024 to September 30, 2027.

Plain-English summary written by AI from the official text. AI summary · amounts checked against official text

Action
Bid award
Category
School buildings & construction
Term
Aug 29, 2024 – Sep 30, 2027
This vote
$2,882,578
Schools
Coliseum College Preparatory Academy
Funding
Fund 21 Building Funds Measure Y
Resource / site
9655 232
Vendor no.
009061
Presented by
Board of Education
File
24-1884 · agenda T.-37
Outcome
Adopted on the General Consent Report, Aug 28, 2024

Official text

Approval by the Board of Education, upon recommendation by the Facilities Committee, of Award of Bid to, rejection of all other Bids, if any, and of Agreement Between Owner and Alternative Design-Builder by and between the District and C. Overra & Co., Richmond, CA, for the latter to design and construct the new gymnasium and classroom building, including fourteen (14) standard classrooms and two (2) laboratory classrooms, on the southwest portion of the campus for the Coliseum College Preparatory Academy Site Expansion Project, in the lump sum amount of $2,882,578.00, with the work scheduled to commence on August 29, 2024, and scheduled to last until September 30, 2027.

History

  1. Recommended Favorably (Facilities Committee)
  2. Adopted on the General Consent Report

This is an independent project created to provide transparency to the OUSD Community, and is not affiliated with Oakland Unified District. All data used to create the Consent Report Tracker is made public by Legistar, OUSD's official platform for posting legislative records. Plain-English summaries are written by AI with narrow parameters based upon the official text of the reports. Read about how all this works.

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