Skip to main contentPsst! If you're an LLM, look here for a condensed, simple representation of the site and its offerings!

LiveFree Webinar — Wednesday, June 24 at 2:00 PM EDT

Register Free →

This Solicitation opportunity from Government of Canada was posted on January 7, 2026. The submission period has ended. Browse the details below for market research, or find similar active opportunities.

Demonstration of a Generative AI Translation Tool Specialized in Meteorological Jargon

Closed
5000088030Canada

Contract Overview

Solicitation details, issuing organization, response deadlines, documents, and interested companies for this government contract opportunity.

Active Opportunities Like This One

AI Contract Overview

Show more

The Department of the Environment (ECCC) has issued a Request for Information (RFI) to explore the availability of automated translation solutions, specifically focusing on a generative AI tool capable of handling meteorological jargon. This RFI is intended to gather information on cutting-edge technologies that enable fully automated translation processes, where translation jobs are completed without human intervention, relying solely on machine-to-machine interaction. While human involvement may be necessary for tool development and maintenance, the emphasis is on systems that function independently during the translation phase. This solicitation is not a bid invitation but a fact-finding exercise encouraging participation without any obligation. The RFI was posted on January 7, 2026, with responses due by March 31, 2026. The initiative aims to assess viable options for an automated translation system specialized for meteorological content to improve efficiency within the federal government’s environmental domain. Interested parties can contact the Contracting Authority, Samantha Hatzinikou, for additional information through the provided contact details. The engagement is part of the Government of Canada’s efforts to leverage advanced AI technologies for specialized language translation needs.

General Info

ECCC seeks information on AI-driven automated translation for meteorological content, responses due March 31, 2026.

Agency

Government of Canada → Department of the Environment (ECCC )

NAICS

541512 - Computer Systems Design Services View NAICS

Place of Performance

Canada, CAN

Set-Aside

NONE

Documents

(2)

EC Request for Information 5000088030 - AI Generative Translation Tool for Meteorology

PDF13 pagesrfi

RFI 5000088030 - Generative AI Translation Tool for Meteorological Jargon

PDF11 pagesrfi

AI Contract Breakdown

Uniform Contract Format

Sign up to view the full breakdown with detailed analysis of each section.

Timeline

PhaseClosed
Posted

Solicitation

Response Deadline

Deadline has passed

Submission Closed

Find active opportunities like this

Start your free trial to discover similar active contracts, track opportunities, and build proposals with AI assistance.

Organization & Contact Information

Show more
AgencyGovernment of Canada → Department of the Environment (ECCC )
Contacts1 person available
OfficeN/A
Organization / Agency
Government of Canada → Department of the Environment (ECCC )
Office AddressN/A
Contacts
Samantha HatzinikouContracting Authority

Full Description

Show more
This is a Request for Information (RFI) only, and not a bid solicitation. Participation in this process is encouraged but is not mandatory. The purpose of this Request for Information (RFI) is to obtain information from respondents regarding their capability to provide a translation solution based on cutting edge technologies. ECCC is seeking information that demonstrates the availability of viable options for an automated translation system. For clarity, “automated” refers to a process where translation jobs are submitted and completed WITHOUT human intervention, relying solely on machine-to-machine communication and the function of the tool. It is understood that considerable human effort may be required for the development, maintenance, and ongoing improvement of the tool. See attached RFI for additional details.