Atlassian software Academic Cloud licenses

This tender for Atlassian Academic Cloud licenses is heavily price-driven, with a clear emphasis on the lowest cost. Success hinges on a highly competitive pricing strategy, confirmed Atlassian partnership, and meticulous adherence to submission requirements. While social and innovative aspects are absent, demonstrating robust support and understanding of the framework agreement will be crucial.

The most cost-effective and compliant Atlassian Academic Cloud license provider for Tallinn University.

Your trusted official Atlassian partner, ensuring seamless license delivery and adherence to all contractual obligations.

Submit the absolute lowest possible price. Analyze competitor pricing from previous similar tenders if available. Leverage any academic discounts or special pricing from Atlassian.

Submit the absolute lowest possible price. Analyze competitor pricing from previous similar tenders if available. Leverage any academic discounts or special pricing from Atlassian.

Submit the absolute lowest possible price. Analyze competitor pricing from previous similar tenders if available. Leverage any academic discounts or special pricing from Atlassian.

Submit the absolute lowest possible price. Analyze competitor pricing from previous similar tenders if available. Leverage any academic discounts or special pricing from Atlassian.

Ensure official Atlassian partner certification is clearly stated and verifiable. Provide documentation as required to prove status.

Given that price is the primary evaluation criterion with no explicit weighting, the bid must offer the absolute lowest price for all license types to maximize scoring. This requires meticulous cost analysis and potentially accepting minimal margins.

Official Atlassian partner status is a mandatory requirement. Ensure all necessary documentation is readily available and submitted correctly to avoid disqualification.

Confirmation of understanding and acceptance of 'vastavustingimused.pdf' is a critical eligibility requirement. Thoroughly review all clauses related to joint offers, trade secrets, bid submission, cost, and equivalence.

Explicitly acknowledge and agree to the terms of the 'atlassian raamleping.docx'. This demonstrates commitment to the contractual framework.

The tender mentions XML for ESPD but notes it's not supported for AI analysis, implying potential complexity in submission format. Confirm the exact required format and submit well before the 2026-04-01 09:00:00 deadline to avoid last-minute technical issues.

While not explicitly evaluated, subtly emphasize the bidder's capability for efficient license delivery and responsive support for academic users. This can be a secondary differentiator if pricing is extremely close.

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.

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.

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.

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.

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.

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.

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.

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