REALAI in Learning and Teaching - Queensland University of Technology ( QUT) is seeking early market insights on enterprise- grade GenAI SaaS tools for Learning and Teaching ( Stream 2). This activity supports the REAL AI project to identify, evaluate and procure external Artificial Intelligence tools that address 48 validated use cases not served by QUT s internal Cogniti platform ( Stream 1). The procurement will assess vendor solutions against validated functional requirements across pedagogy, privacy, d
Enterprise- grade Generative AI SaaS tools for learning and teaching Lot 1: Immersive simulation roleplay ( conversational and multimodal AI agents for skills practice); Lot 2: Personalised learning study support ( AI assistants and study companions); Lot 3: Formative feedback writing support ( rubric- aligned feedback on student drafts); Lot 4: Learning design content creation ( staff- facing tools for designing learning activities and content)
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Queensland University of Technology (QUT) is seeking market insights for enterprise-grade Generative AI SaaS tools for learning and teaching. This RFI supports the Real AI project to identify AI tools for use cases not covered by QUT's internal Cogniti platform. The procurement will assess vendor solutions against requirements for pedagogy, privacy, data sovereignty, security, integration, and cost-effectiveness. Responses are due by 5:00 PM AEST on July 29, 2026. QUT is not seeking information on Stream 1 Cogniti platform costs, AI tools for research, Microsoft 365 Copilot replacement, or AI for administrative operations. All tools must be procured as SaaS services. QUT is interested in four capability lots: immersive simulation roleplay, personalized learning study support, formative feedback writing support, and learning design content creation. Responses must be lodged electronically via the Queensland Government VendorPanel website.
Responses to this RFI must be lodged by 5:00 PM AEST Brisbane time on 28 July 2026. any response not appropriately lodged by the specified closing date and time may be rejected at the discretion of qut.
REALAI in Learning and Teaching - Queensland University of Technology ( QUT) is seeking early market insights on enterprise- grade GenAI SaaS tools for Learning and Teaching ( Stream 2). This activity supports the REAL AI project to identify, evaluate and procure external Artificial Intelligence tools that address 48 validated use cases not served by QUT s internal Cogniti platform ( Stream 1). The procurement will assess vendor solutions against validated functional requirements across pedagogy, privacy, d
Enterprise- grade Generative AI SaaS tools for learning and teaching Lot 1: Immersive simulation roleplay ( conversational and multimodal AI agents for skills practice in clinical, legal, communication, journalism, and oral assessment scenarios). Lot 2: Personalised learning study support ( AI assistants and study companions for adaptive support, concept clarification, course navigation, and on- demand explanation). Lot 3: Formative feedback writing support ( rubric- aligned feedback on student drafts and presubmission writing support). Lot 4: Learning design content creation ( staff- facing tools for designing learning activities, assessment items, agent orchestration, and multi- format media content).
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Queensland University of Technology (QUT) is seeking market insights for enterprise-grade Generative AI SaaS tools for learning and teaching. This RFI supports the Real AI project to identify AI tools for use cases not covered by QUT's internal Cogniti platform. The procurement will assess vendor solutions against requirements for pedagogy, privacy, data sovereignty, security, integration, and cost-effectiveness. Responses are due by 5:00 PM AEST on July 29, 2026. This is an RFI only, with no commitment to award a contract or guarantee future work. QUT is interested in understanding market capabilities for four lots: immersive simulation, personalised learning support, formative feedback writing support, and learning design content creation. Key considerations include data sovereignty, Australian data residency, privacy, identity and access integration, auditability, and model lifecycle management. Pricing models, implementation, and support costs are also requested.
Responses to this RFI must be lodged by 5:00 PM AEST Brisbane time on 29 July 2026.
REALAI in Learning and Teaching - Queensland University of Technology ( QUT) is seeking early market insights on enterprise- grade GenAI SaaS tools for Learning and Teaching ( Stream 2). This activity supports the REAL AI project to identify, evaluate and procure external Artificial Intelligence tools that address 48 validated use cases not served by QUT s internal Cogniti platform ( Stream 1). The procurement will assess vendor solutions against validated functional requirements across pedagogy, privacy, d
Enterprise- grade Generative AI SaaS tools for learning and teaching Lot 1: Immersive simulation roleplay ( conversational and multimodal AI agents for skills practice). Lot 2: Personalised learning study support ( AI assistants and study companions). Lot 3: Formative feedback writing support ( rubric- aligned feedback on student drafts). Lot 4: Learning design content creation ( staff- facing tools for designing learning activities and content).
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Queensland University of Technology (QUT) is seeking market insights for enterprise-grade Generative AI SaaS tools for learning and teaching. This RFI supports the Real AI project to identify AI tools for use cases not covered by QUT's internal Cogniti platform. The procurement will assess vendor solutions against requirements for pedagogy, privacy, data sovereignty, security, integration, and cost-effectiveness. Responses are due by 5:00 PM AEST on July 29, 2026. This is an RFI only, with no commitment to award a contract or guarantee future work. QUT is interested in understanding market capabilities for four lots: immersive simulation, personalised learning support, formative feedback writing support, and learning design content creation. Key considerations include data sovereignty, Australian data residency, privacy, identity and access integration, auditability, and model lifecycle management.
Responses to this RFI must be lodged by 5:00 PM AEST Brisbane time on 29 July 2026.
Transformation Study into the North West Minerals Province in Queensland - The Department of Natural Resources and Mines, Manufacturing and Regional and Rural Development ( the Department) is seeking Expressions of Interest ( EOI) from suitably qualified organisations ( or consortiums of organisations) with the knowledge, skills, experience and resources to undertake the transformation study. Potential suppliers are invited to put forward an EOI. Respondents evaluated as suitable through this EOI process wi
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The Department of Natural Resources and Mines, Manufacturing and Regional and Rural Development is seeking expressions of interest for a transformation study. Responses must be submitted electronically by February 24, 2026. The study aims to assess the economic potential of the North West Minerals Province and the future of copper smelting and refining. The evaluation criteria include technical expertise, operational capability, engagement, and value for money. A draft deliverable is required by September 30, 2026.
The bid notice states including the provision of a draft deliverable by 30 september 2026.
The bid notice states Expressions of interest will be evaluated using the following evaluation criteria: evaluation criteriacriterion 1technical and analytical expertise respondent to demonstrate: technical expertise in metallurgical and smelting processesexpertise in designing and implementing operating model improvements within heavy industry and resource operations industrial transformation and feasibility study capabilityinfrastructure and supply chain expertiseeconomic, commercial and market analysis capabilityenvironmental and regulatory understandingcriterion 2operational and delivery capabilityrespondent to provide: project management and delivery approachrelevant team qualifications and key personnelcriterion 3engagement and strategic insightrespondent to demonstrate: stakeholder engagement and communication capability including a comprehensive stakeholder engagement strategy which must include a formal submission opportunity for any interested person, and inperson community engagementlocal and regional knowledge and experienceinnovation and strategic insightcriterion 4value for moneyprice will be reviewed to ensure it is within budget and that overall value for money is being considered in achieving outcome.
The bid notice states he department is seeking expressions of interest eoi from suitably qualified organisations or consortiums of organisations with the knowledge, skills, experience and resources to undertake the transformation study.
Bendigo Kangan Institute - Melton Campus HeadContractor - The Melton TAFE Campus will deliver a range of specialist training programs designed to meet the diverse skills and workforce needs of the Melton and broader western metropolitan region. The campus will primarily focus on trade- based education, providing students with practical, industry- aligned training that supports pathways into apprenticeships, employment, and further vocational study. The campus will also serve as an access point for learners
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The tender is an Expression of Interest for the Melton TAFE Campus Head Contractor. The closing date for responses is February 24, 2026, at 03:00 PM. The online forum provides a place to comment and obtain further clarification if needed. Comments cannot be posted after 17 February 2026 05:00 pm.
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