Research collaboration
Joint or complementary work on enterprise AI, automation, digital maturity, SaaS rationalisation, technology governance and productivity.
Raeburn Institute for Enterprise Technology
University & academic collaboration
An open programme for useful collaboration with universities, researchers, lecturers and students. No institution is described as a partner unless that relationship has been explicitly agreed.
Student projects
Clearly scoped dissertation, capstone or applied-project questions with appropriate supervision, confidentiality and data boundaries.
Guest teaching
Practitioner talks, seminars and workshops on enterprise technology, AI governance, automation and technology due diligence.
Datasets & methodology
Share suitable open frameworks, synthetic examples and properly anonymised datasets where rights, ethics and privacy permit.
Peer review
Invite relevant academics to critique research methods or specific publications, with attribution only after explicit agreement.
Knowledge exchange
Explore practical transfer between academic research and SME/enterprise implementation without implying a formal university partnership before one exists.
Collaboration safeguards
Projects must identify ownership, supervision, publication rights, confidentiality, data protection, ethics requirements and conflicts before substantive work begins. Student work must remain educationally appropriate and must not be presented as independent validation of Raeburn.
Academic enquiries: contact@theraeburngroup.com