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Tenders

Atlassian software Academic Cloud licenses

Open
Deadline
5 days left
April 01, 2026
Contract Details
Category
Supplies
Reference
307793
Value
€48,000
Location
Estonia
Published
March 20, 2026
Organization
CPV Code
Evaluation Criteria
Atlassian partner statusTechnical
Service Collection Premium (Academic) license cost in euros, excluding VATPrice
Refined Sites for Confluence Advanced(Academic) license cost in euros, excluding VATPrice
Jira standard (Academic) cost in euros, excluding VATPrice
Confluence Standard (Academic) license cost in euros, excluding VATPrice
Project Timeline

Tender Published

March 20, 2026

Deadline for Questions

March 25, 2026

Submission Deadline

April 01, 2026

Tender Opening

April 01, 2026

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Budget
€48,000
Duration
12 months
Location
Estonia
Type
Supplies
75
Quality Score/100
Good
Market Benchmark
Avg. Winning Price
€153,114
Avg. Bids
2.1
Competition
Low
SME Winners
91%
374 tenders analyzed

Original Tender Description

Atlassian software Academic Cloud licenses
Electronic Submission

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Requirements & Qualifications

11 requirements across 5 categories

Submission (6)
Mandatory (1)
Compliance (2)
Technical (1)
Financial (1)
SUBMISSION REQUIREMENTS6
--Bids must be submitted by the deadline: 2026-04-01 09:00:00.
--The bid will be evaluated primarily based on price, with the lowest price receiving the maximum score.
--The bidder must acknowledge and agree to the terms of the framework agreement ('atlassian raamleping.docx').
MANDATORY EXCLUSION GROUNDS1
--The bidder must not be subject to any mandatory exclusion grounds as defined by law.
ELIGIBILITY REQUIREMENTS2
--The bidder must be an official Atlassian partner.
--The bidder must confirm understanding and acceptance of the conditions outlined in the 'vastavustingimused.pdf' document, including those related to joint offers, trade secrets, bid submission, cost, and equivalence.
TECHNICAL CAPABILITY REQUIREMENTS1
--The bidder must be capable of supplying Atlassian Academic Cloud licenses.
FINANCIAL REQUIREMENTS1
--The total value of the tender is 48000.0 EUR.

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Documents

5 documents available with AI summaries

VastavustingimusedPDF
307793_vastavustingimused.pdf -- 6.1 KB

This document outlines compliance conditions regarding joint offers, trade secrets, bid submission, cost, and equivalency, requiring confirmation during tender submission.

Hindamiskriteeriumid ja hinnatavad näitajadPDF
307793_hindamiskriteeriumid.pdf -- 4.5 KB

Tallinn University will evaluate Atlassian software Academic Cloud license bids primarily based on price, with the lowest price receiving the maximum score.

Hankepass täiendatavate selgitustegaPDF
307793_hankepass_taiendavate_selgitustega.pdf -- 33.5 KB

The procurement pass is an initial confirmation of the bidder's compliance with the contracting authority's requirements, intended for familiarization with conditions rather than completion.

Lepingu projektDOC
307793 atlassian raamleping.docx -- 3.5 MB

This framework agreement is for the procurement of Atlassian Academic Cloud licenses, defining the parties' obligations and the subject of the contract.

Tehniline kirjeldusDOC
307793 tehniline kirjeldus.docx -- 2.3 MB

Tallinn University is seeking Atlassian Academic Cloud licenses, requiring the supplier to be an official Atlassian partner.

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75
Good

Tender Quality Score

This tender for Atlassian Academic Cloud licenses is generally well-structured, with clear requirements and a straightforward evaluation process. However, it lacks explicit sustainability considerations and has a slightly restrictive eligibility criterion.

Score Breakdown

Legal Compliance75/100

The tender adheres to standard procurement procedures, including a clear CPV code and a reasonable submission deadline. The framework agreement structure is noted. No disputes or immediate legal red flags are apparent.

Clarity80/100

The description of the required software licenses is clear. Key documents like 'Vastavustingimused' and 'Hindamiskriteeriumid' are identified, providing good insight into the conditions and evaluation. The technical requirements are also clearly stated.

Completeness70/100

Most essential information is present, including estimated value, duration, and deadlines. However, the 'hankepass_taiendavate_selgitustega.pdf' is for familiarization, not completion, and the ESPD format is noted as unsupported for AI analysis, which could be a minor point of friction.

ESPD format not supported for AI analysis
Fairness85/100

The evaluation is primarily based on price, which is objective. Full document access is implied. The requirement for the bidder to be an 'official Atlassian partner' is a specific criterion that, while potentially ensuring expertise, could limit competition and is a point to consider regarding fairness.

Requirement for bidder to be an official Atlassian partner may limit competition.
Practicality65/100

E-submission and e-procurement are specified. The contract duration is clear. However, specific financing information beyond the estimated value is not detailed, and the mention of XML format for ESPD without clear guidance on alternatives for AI analysis could pose a minor practical hurdle.

Lack of detailed financing information.
Ambiguity regarding ESPD format compatibility for AI analysis.
Data Consistency90/100

Key fields such as title, reference, organization, value, and deadlines are consistently populated. The dates provided are logical and do not indicate any immediate inconsistencies. No suspension or disputes are reported.

Sustainability50/100

The tender does not explicitly mention green procurement, social aspects, or innovation. It is not indicated as EU funded. This area is underdeveloped.

No explicit mention of green procurement, social aspects, or innovation.

Strengths

Clear title, reference, and organization details.
Well-defined description and CPV code.
Reasonable submission deadline and disclosed value.
Objective evaluation criteria (price-based).

Concerns

Requirement for official Atlassian partner status may limit competition.
Lack of explicit sustainability criteria (green, social, innovation).
Potential ambiguity with ESPD format for AI analysis.

Recommendations

1. Consider broadening eligibility criteria if feasible to increase competition.
2. Incorporate specific sustainability objectives into future tenders.
3. Provide clearer guidance on document formats, especially for AI-assisted analysis.

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