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Labour Market Data and Data-Sharing Solution

Overview


Data Analytics, AI & Cloud Hosting
Toronto, Ontario, CanadaPosted: June 9th, 2026Deadline: June 23rd, 2026

Fit Score


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SUMMARY


Ontario seeks a provider for an integrated labour market data and data-sharing platform, leveraging proprietary AI-driven models and real-time intelligence for public sector application.

KEY REQUIREMENTS


TIMELINE


ACAN Issue Date: June 8th, 2026

Questions from providers: Up to June 16th, 2026

Responses to questions: Up to June 20th, 2026

Closing Date and Time: June 23rd, 2026, 1700 Hours EST

QUESTION DEADLINE


June 16th, 2026

Issuing Agency


Ecampusontario

Organization overview and procurement intelligence available on paid plans.

DESCRIPTION


This RFP seeks a vendor to provide a comprehensive labour market data and data-sharing solution that integrates real-time labour market intelligence, proprietary forecasting models, and specially curated datasets. The solution must deliver highly granular, high-frequency, AI-driven insights into skills demand, occupation trends, and employer activity—insights unobtainable through traditional data sources.

The platform should operate on proprietary methodologies and intellectual property, offering a unique, non-replicable product that is already widely adopted by governments, post-secondary institutions, and policy organizations. Alignment with recognized statistical standards is required to ensure credibility and reliability. The selected vendor will be responsible for providing seamless access to this advanced data and supporting its integration for public sector use cases.

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Frequently asked questions

When is the submission deadline?
Submissions are due June 23, 2026. Questions must be submitted by June 16, 2026.
Who issued this RFP?
It was issued by Ecampusontario. The work is located in Toronto, Ontario, Canada.
Who is a good fit for this opportunity?
  • Provider of proprietary, AI-enabled labour market data platforms
  • Experience with large-scale public sector data sharing solutions
  • Proven record of adoption by government or academic clients
  • Ability to deliver highly granular insights using advanced forecasting methodologies

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