SPD5/2026/017 – Tender for the Development of a Centralised Maltese Speech-to-Text Transcription Engine to Support Various Use Cases, with Applications Across Multiple Industries, Together with Relevant Maintenance and Support
SPD5/2026/017 – Tender for the Development of a Centralised Maltese Speech-to-Text Transcription Engine to Support Various Use Cases, with Applications Across Multiple Industries, Together with Relevant Maintenance and Support
Angebotsfrist:08. Juni 2026
Typ:Ausschreibung
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Inhalt auf einen Blick
SPD5/2026/017 – Tender for the Development of a Centralised Maltese Speech-to-Text Transcription Engine to Support Various Use Cases, with Applications Across Multiple Industries, Together with Relevant Maintenance and Support
- Ausschreibungstyp: Ausschreibung
- Auftraggeber: Sectoral Procurement Directorate
- Veröffentlicht: 05. Mai 2026
- Frist: 08. Juni 2026
- Thema: Softwareentwicklung
Ausschreibungsbeschreibung
SPD5/2026/017 – Tender for the Development of a Centralised Maltese Speech-to-Text Transcription Engine to Support Various Use Cases, with Applications Across Multiple Industries, Together with Relevant Maintenance and Support
Weiterführende Details
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Dokumente und Anhänge
49 Dateien erfasst- PDF Notice (BUL)
- PDF Notice (SPA)
- PDF Notice (CES)
- PDF Notice (DAN)
- PDF Notice (DEU)
- PDF Notice (EST)
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A single-party framework agreement will be established on foot of this tender. Atlantic Technological University (ATU) are requesting submissions for the provision of a cloud-based SaaS plagiarism detection solution, that is suitable for checking submitted student work for potential plagiarism in a user-friendly way via an LTI/IMA Learning Tools Interoperability integration with the “Virtual Learning Environment”. Academic integrity has always been a priority for ATU and therefore it performs plagiarism checks on all submitted student work, including Bachelor and Master Theses. In addition, other writing assignments within various programmes are checked for plagiarism, whether or not as part of the education relating to academic skills. The solution must be capable of analysing submitted student work against multiple source types, including: • Public internet content • Generative artificial intelligence outputs (text, images, and video) • Academic materials (both open-access and subscription-based) • Previously submitted student work within the University and across other institutions. Plagiarism detection is activated; a scored/ rated text matching report is created for each file submitted by a student. The system must also enable students to access and review their similarity report prior to final submission to learn obvious cases where they are submitting plagiarised text to help them identify when a reference is required/missing. Following student final submission, academic staff must be able to use the generated report as a decision supported tool in assessing whether plagiarism has occurred. The successful tenderer will be required to provide a solution that fulfils the following Core requirements: • Mandatory Functional and Technical Requirements – tenderers should refer to Appendix 1 for detailed requirements • System Security and Governance; • Data Protection; • Licensing; • Project Implementation and Delivery; • Support and Maintenance; and • Contract Management. Virtual Learning Environment (VLE) Integration The proposed solution must provide fully supported, production-ready integration with the following VLE platforms: • Moodle • Blackboard • Canvas • Brightspace • PebblePad The initial contract will require integration with three separate Virtual Learning Sites currently in use by Atlantic Technological University: 1. ATU Sligo – VLE Sligo (Moodle – Version 4.5) 2. ATU Galway – VLE Galway Mayo (Moodle – Version 4.5) 3. ATU Donegal – VLE Donegal (Blackboard) ATU expects to transition to a single VLE on a phased basis in 2026-2027 and the transition to this may form part of this contract.
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- Bis wann läuft die Angebotsfrist?
- Die Angebotsfrist endet am 08. Juni 2026.
- Wer ist der Auftraggeber?
- Der Auftraggeber ist Sectoral Procurement Directorate.
- Welche Unterlagen sind für den Start relevant?
- In der Regel benötigen Sie Leistungsbeschreibung, Eignungsnachweise, Fristenhinweise und ggf. Formblätter. Auf auftrag.ai werden diese Punkte priorisiert dargestellt.