The TUM School of Management is pleased to announce that essentry has joined the QTEM network as a Corporate Partner. As an Academic Partner in QTEM, the School brought the company into the network, thereby expanding its collaboration with organizations in the field of digital technologies.
essentry is a leading solution that seamlessly combines fully automated, highly secure access with ID verification and biometric face matching at a border control level. This enhances both efficiency and security for critical infrastructure facilities while ensuring compliance with the strictest global standards for data protection, data security, and regulatory requirements.
For QTEM students, the partnership offers insights into the practical applications of data analytics and artificial intelligence in a business context.
“We are very excited to welcome essentry to the QTEM network, marking an important step in expanding our partner portfolio and strengthening our commitment to equipping students with data analytics and AI-driven skills.” – Rainer Kolisch, Professor of Operations Management and TUM School of Management’s Dean of QTEM
The partnership builds on an already successful collaboration with QTEM students. Following positive experiences in recruiting QTEM students, essentry decided to further strengthen its engagement with the network by joining as a Corporate Partner.
"Over the past two years, we've worked with several QTEM master's students at essentry, as interns and working students. The quality has been consistently high: strong analytical foundations, fast ramp-up times, and a level of motivation that matters a lot to us as a scaling technology company. Formalizing this as an official partnership is the logical next step. We're glad to contribute to the QTEM network and look forward to keep working with their talent." – Nikolai Vitzthum, Co-founder & COO of essentry
essentry, QTEM, and the TUM School of Management are planning a joint hackathon in early July, bringing together students and practitioners to work on practical challenges. Further details will be announced soon.
The TUM School of Management looks forward to continuing the collaboration and supporting students in developing skills in data analytics, artificial intelligence, and digital technologies.