Deep learning model

Ended Purchase Order Awarded Last action

Contract number
140G0320P0143
Awardee
Awarding agency
Obligated
$436,728

Award facts

Opportunity
Contract value 100% obligated
$436,728.00 Current and potential, with all options
Completion date 100% complete
Current and potential, with all options
Set-aside
Total Small Business
Competition
Competed under SAP · 3 offers Simplified Acquisition
Pricing
Firm Fixed Price
Place of performance
Flagstaff, AZ 86001, USA

Award details come from SAM.gov/FPDS.

Transactions

Action Obligated Date
Close Out P00002 · DE-obligate and close out -$11,294
Supplemental Agreement for work within scope P00001 $74,400
Original award $373,622

About this award

The Department of the Interior's United States Geological Survey awarded a $436,728 firm fixed price purchase order to Marda Science, LLC of Flagstaff, Arizona. The contract calls for the contractor to provide deep learning and remote sensing analyses to characterize coastal flooding and erosion impacts from large storms for the agency. Specifically, the contractor will analyze data and apply deep learning techniques to model these impacts, as requested in Solicitation DEEP LEARNING MODEL. The award was made as a total small business set-aside under North American Industry Classification System code 541690 for other scientific and technical consulting services. The place of performance is Marda Science's facility in Flagstaff. This contract supports the USGS's efforts to study coastal impacts from storms and better understand risks to coastal communities and infrastructure.

Quick answers

Who was awarded contract 140G0320P0143?

140G0320P0143 was awarded to Marda Science, LLC by Office of Acquisitions and Grants (US Geological Survey) on April 16, 2020.

How much is contract 140G0320P0143 worth?

The government has obligated $436,728 on 140G0320P0143.

Was contract 140G0320P0143 competed?

The extent of competition for 140G0320P0143 was competed under sap. The government received 3 offers. It was set aside: Total Small Business.

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