lobbyTO

Registration SM36046 · consultant

Sobeys Capital Incorporated

Status: active18 October 2024 to 18 October 2026Source datasetReport an error on this page
Communications
1
1 offices contacted
Lobbyists
1
Linked agenda items
0
Published links only
Linked applications
1
Published links only

Who

Client
Sobeys Capital Incorporated
Consultant firm
Amir Remtulla and Associates
Registrant
Amir Remtulla
Type
consultant
Status
active
Dates
Approved 18 October 2024; 18 October 2024 to 18 October 2026

Subject matter

  • Planning and Development
  • Planning and Development Application, Zoning By-law
  • Planning and Development Application, Site Plan

Source: City of Toronto Lobbyist Registry (open data). Dataset page.

Particulars

2026-2040 Queen Street East

Addresses named: 2026-2040 Queen Street East (Ward 19); 2040 Queen St E (Ward 19)

Automated summary of the registration text

Registered regarding 2040 Queen Street East

Generated from the registration text only. Read the particulars for the registrant's own words.

Lobbyists

Organisations named

Communications

Communications per month

2024-10 to 2024-10

1 communication

How and with whom

By method · 0 meetings

By office holder

Most-contacted offices

Offices contacted· 1 row
OfficeOffice holder typeCommunicationsMeetingsLast contact
Brad BradfordMember of council1021 October 2024
All communications· 1 row
1 communications recorded
DateOfficeOffice holder (as recorded)Member's officeMethodLobbyist
21 October 2024Ward 19 Beaches-East YorkBrad Bradford
Member of council
Brad BradfordCall
Telephone
—

"Member's office" is the member of council whose office was contacted (the member or their staff), resolved from the office holder name and office recorded in the registry.

Linked agenda items

No published links to agenda items.

Linked development applications

These links are inferred by lobbyTO from file numbers and addresses named in the registration (task L2); the registry does not record which application a registration concerns.

Links between records are inferred by a model and are not reviewed by a person. Each link shows its score out of 1; moderate-confidence links (0.7 to 0.9) are wrong more often than high-confidence links. How links are scored