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RAPID ACCELERATION OF DIAGNOSTICS (RADX) ADVANCED TECHNOLOGY PLATFORMS (ATP)- SCALING THE BROAD INSTITUTE RT-PCR PROCESS TO 100K+ TESTS/DAY
Total Committed
$15M
Product or Service Description
Laboratory Testing
Total Potential Value
$25.7M
Contracting Agency
Effective Date
Aug. 28, 2020
Funding Department
NATIONAL INSTITUTES OF HEALTH NHLBI
Type
Firm fixed price
Solicitation Procedure
Negotiated proposal/quote
Extent Competed
Full and open competition after exclusion of sources
Reason
Urgency (Far 6.302 2)
Recent Contract Actions
Contracts can have multiple “contract actions”: This is how agencies spend money for a specific purpose, adjust the amount committed or change the contract in a way that doesn’t affect the amount. That last scenario is usually indicated by a $0 action. If there is a contract action for a negative amount, it generally means the contract was adjusted or canceled.
Vendor | Description | Signed | Reason for Change | Amount Committed |
---|---|---|---|---|
BROAD INSTITUTE, INC., THE | RAPID ACCELERATION OF DIAGNOSTICS (RADX) ADVANCED TECHNOLOGY PLATFORMS (ATP)- SCALING THE BROAD INSTITUTE RT-PCR PROCESS FROM 100K TO 200K+ AND 40K POOLED TESTS/DAY | June 14, 2021 | Supplemental Agreement For Work Within Scope | $0 |
BROAD INSTITUTE, INC., THE | RAPID ACCELERATION OF DIAGNOSTICS (RADX) ADVANCED TECHNOLOGY PLATFORMS (ATP)- SCALING THE BROAD INSTITUTE RT-PCR PROCESS TO 100K+ TESTS/DAY | Nov. 5, 2020 | Definitize Letter Contract | $10,469,909 |
BROAD INSTITUTE, INC., THE | RAPID ACCELERATION OF DIAGNOSTICS (RADX) ADVANCED TECHNOLOGY PLATFORMS (ATP)- SCALING THE BROAD INSTITUTE RT-PCR PROCESS TO 100K+ TESTS/DAY | Aug. 28, 2020 | $4,514,573 |
About this data
This data comes from the Federal Procurement Data System, which includes all contracts worth $10,000 or more. We look at all contracts that are tagged with the procurement code for COVID-19 or otherwise started in 2020 and contain “COVID-19” in the description. Department of Defense contracting data is subject to a 90-day delay before it appears in the data.