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DefenceGate
CPV 80000000Awarded

Cursos de formación en PRL años 2026-2027

Original language, Spanish

Buyer: Dirección General del INTA

Awarded to: Aspy Prevencion.s.l.u. (ES); Hediprev, S.L. (ES); Laboral Risk Servicio de Prevención S.L. (ES); Prevenciona Castilla la Mancha, S.L. (ES)

Why this is here
  • Defence buyer
  • Defence body
Defence buyer, ordinary purchase

Listed by our automatic rules, with how sure we are estimated from checked samples; see how

Only the buyer is a defence body; the notice itself is not marked as defence.

Deadline28 Oct 2025, 10:00 UTC

Key facts

Estimated value
EUR 77,894
Notice ID
582025064900
Published
Procedure
Abierto simplificado
Legal basis
Directive 2014/24/EU (public procurement)
Code 32014L0024
Buyer country
ESSpain
Security clearance
Not read from this source
Subcontracting
Not read from this source
Status read from the notice
Awarded
Lots
22

CPV codes

  • 80000000MainEducation and training services

Version history

2 versions observed.

What counts as a new version

We keep a new version when the title, buyer, country, procedure, legal basis, value, currency, publication date, deadline, product codes, source link or status changes. Earlier versions are never overwritten or deleted. History starts when we first saw the notice; our archive began in September 2026.

  1. Version 2 · Read by DefenceGate on We read this from the source’s older notices when we loaded its history: the change itself was published before this date, and it is not counted as a new change.
    • Status changed from Cancelled to Awarded
  2. Version 1 · Detected First observed by DefenceGate

Source and attribution

Source
Plataforma de Contratación del Sector Público
First seen by us
Source last collected
Licence
Open public sector information (LCSP transparency obligations)
Attribution
Source: Plataforma de Contratación del Sector Público, Ministerio de Hacienda
Version
v2
View original (opens in new tab)

More from this buyer

All tenders from Dirección General del INTA

Listed by our automatic rules, with how sure we are estimated from checked samples; see how