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BridgeAI designing and scaling a corporate learning venture

authorProfile.emaila.leppelsack@googlemail.com
datacite.subject.fosCiências Sociais::Economia e Gestão
dc.contributor.advisorQueiró, Francisco
dc.contributor.authorLeppelsack, Arne Willem
dc.date.accessioned2026-05-05T08:46:38Z
dc.date.available2026-05-05T08:46:38Z
dc.date.issued2026-01-27
dc.date.submitted2026-01-27
dc.description.abstractLearning must evolve faster than the technology it teaches. This thesis validates the business plan for Bridge AI, a DACH-focused provider of modular, video-first e-learning for SMEs and public institutions. Combining expert validation with AI-assisted production, Bridge AI delivers tailored future skills and compliance training. Validated through 50+ workshops, the thesis defines the market problem and hybrid revenue model. It outlines a roadmap backed by early traction - 10+ customers, 200+ learners, and a 4.8/5 rating - along with 1,000+ committed learners scheduled for rollout by early 2026.eng
dc.identifier.tid204239281
dc.identifier.urihttp://hdl.handle.net/10362/202811
dc.language.isoeng
dc.relationUID/00124/2025
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectCorporate learning
dc.subjectE-learning
dc.subjectFuture skills
dc.subjectAI literacy
dc.subjectCompliance training
dc.subjectSMEs
dc.subjectB2B SaaS
dc.subjectDACH market
dc.titleBridgeAI designing and scaling a corporate learning ventureeng
dc.typemaster thesis
dspace.entity.typePublication
thesis.degree.nameA Work Project, presented as part of the requirements for the Award of a Master’s degree in Management from the Nova School of Business and Economics

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