Skip to main content

Webcore Cloud - awards dataset

View Webcore Cloud's supplier profile →

What Webcore Cloud wins from Irish public buyers, and who from

Webcore Cloud has been awarded 1 contract in 2017. Largest counterparty is Louth and Meath Education and Training Board 1384 (1 award).

Its most recent win was published on 14 June 2017.

Where a company keeps winning is where it holds the incumbency. Where it does not appear is where the work is still contestable.

Get told when Webcore Cloud wins its next contract

3 FREE LOOKUPS / MONTH WITH SIGN-INPREVIEW · 2 OF 4 SIGNALS VISIBLE
SUPPLIER DOSSIERPREVIEW · 2 OF 4 SIGNALS VISIBLE

Webcore Cloud

CRO & ESPD StatusCRO Status: Registered
Public Contracts1 captured public awards · Not disclosed disclosed value
B1 Accounts & NACEPrimary CPV classifications: CPV 72413000, CPV 7241500 · CRO B1 & ESPD compliance tracked
Permits & Top BuyerTop buyer: Louth and Meath Education and Training Board 1384

Sign in to unlock

Get 3 free lookups a month and a copy sent to your inbox.

or 1-click sign in

Export 0 award notices from the live TED feed (the 1 above also count OGP historical awards and call-offs) (CSV & JSON)

TenderWatch Pro
Unlock CSV & JSON Export with Pro (EUR 490/yr)Includes one-click CSV and JSON exports across all buyers, suppliers, and sectors.

1

Awards

Not disclosed

Disclosed value

-

Average

1

Counterparties

Top authorities won from

  1. 1.Louth and Meath Education and Training Board 13841 · Not disclosed

Year-by-year

YearAwardsValue
20171-

TenderWatch Pro

Track competitors, unlock all open tender matches, or claim a Verified Profile

TenderWatch Pro unlocks all 10 matched open tenders for every supplier, your monthly Sector Bid Pack, multi-company win alerts, the full Contract Expiry Radar, CSV exports, and a Verified Supplier badge for your company page. EUR 490 a year, with a 30-day money-back guarantee.

See TenderWatch Pro

Last updated 6 November 2026. Award dataset coverage begins 2017-06-14. Sentinel TED values (€0, €1) are excluded from totals and averages.