Basic Information

Reference Number

WS4896298130-Doc4896330890

Issuing Organization

Department of Public Works and Government Services (PSPC)

Owner Organization

Department of the Environment (ECCC )

Solicitation Type

RFP - Request for Proposal (Formal)

Solicitation Number

WS4896298130

Title

Integrated Satellite Tracking of Pollution (ISTOP) Machine Learning (ML) Prototype

Source ID

PWGSC

Agreement Types

Canada-Chile Free Trade Agreement (CCFTA)

Canada-Colombia Free Trade Agreement

Canada-European Union Comprehensive Economic and Trade Agreement(CETA)

Canada-Honduras Free Trade Agreement

Canada-Korea Free Trade Agreement

Canada-Panama Free Trade Agreement

Canada-Peru Free Trade Agreement (CPFTA)

Canadian Free Trade Agreement (CFTA)

Comprehensive and Progressive Agreement for Trans-Pacific Partnership (CPTPP)

World Trade Organization Agreement on Government Procurement (WTO-AGP)

Canada-Ukraine Free Trade Agreement (CUFTA)

Canada-UK Trade Continuity Agreement (Canada-UK TCA)

Details

Location

National Capital Region

Dates

Publication

2025/01/06 12:00:00 AM EST

Closing Date

2025/02/21 02:00:00 PM EST

Contact Information

Lessard, Peter (SPAC/PSPC)

peter.lessard@tpsgc-pwgsc.gc.ca

Description

This solicitation is open to the qualified suppliers in Bands 1, 2 and 3 of AI-IA Source List EN578-180001. Qualified suppliers may not submit a bid in response to this bid solicitation unless they have been invited to do so. Public Services and Procurement Canada (PSPC) established the Government of Canada’s first Artificial Intelligence (AI) Source List (EN578-180001/B) in anticipation of Canada’s need for AI goods, services and solutions. The attached Request for Proposal (RFP), for Environment and Climate Change Canada is for an “Integrated Satellite Tracking of Pollution (ISTOP) Machine Learning (ML) Prototype”.The requirement is to develop and deliver a ‘stand-alone proof-of-concept prototype solution’ (hereafter ‘prototype solution’), based on state-of-the-art machine-learning approaches, to detect pollution-related anomalies in RCM and Sentinel-1 C-band SAR satellite imagery.

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