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Five projects were successfully completed in the second phase of the Innovation Sandbox for AI. The findings from these projects have been published and make an important contribution to the wider AI ecosystem.
Submitted Project Proposals
In the second call for projects in 2024, 24 organisations submitted their AI projects. By early 2026, the project team had successfully implemented five projects and is publishing the results on an ongoing basis. The final report on the second Sandbox round will also be available here in a few weeks.
AI for Building Permits
Building permit procedures are complex. This project analysed the capabilities of AI models in reviewing building application and developed a prototype for an
AI-based preliminary check of solar installations, heat pumps and charging
stations. The findings provide local authorities and suppliers with valuable
insights for digital transformation in the construction sector.
AI To Streamline the Reporting Process for Planning Permission
Sensor-Based Bridge Monitoring
Many bridges are decades old and still primarily inspected visually. This project tests AI-powered sensors that continuously monitor the vibration behaviour of bridges. This enables early detection of structural fatigue and allows for
informed assessments of load-bearing capacity. The data-driven approach aims to extend the service life of bridges and make maintenance more efficient.
Swiss South-East Railway & irmos technologies test bridge monitoring with AI
Digital Eye Clinic
Diagnosing eye diseases is complex and requires specialist expertise. This project develops an AI-based approach for detecting diabetic retinopathy and
investigates how AI can be reliably integrated into clinical routines. In addition to medical advancements, the project offers practical recommendations that can be transferred to other disciplines such as radiology or dermatology.
Stadtspital Triemli Pioneers the Future of Diagnostics With Oculomics & AI
Autonomous Inspection Robots
For many Swiss robotics companies, access to the EU market is crucial – yet
regulatory complexity is increasing. This project analyses key legislative
frameworks such as the AI Act, the Machinery Regulation, the Cyber Resilience Act, and the Data Act, and demonstrates how companies can effectively navigate these various requirements. In addition, the project tests AI governance software designed to help firms efficiently implement technical, legal, and organisational standards – for example, those set out in ISO 42001.
EU Regulation of Industrial Robots for Critical Infrastructure
AI in Medical Documentation
In healthcare, documentation requirements generate a lot of administrative work. This project shows how speech recognition and large language models (LLMs) can reduce this workload. At the same time, it examines the legal framework – for example, with regard to data protection, professional secrecy and cloud use – and clarifies when such systems are considered medical devices. The aim is to develop concrete best practices for the safe and responsible use of AI in medical documentation.
AI in Medical Documentation – Between Potential and Regulation
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