ChallengeUpdated on 14 January 2026
Smart Prevention of Home Claims through Technology
Senior Strategy Manager at Grupo Mutua Propietarios
Barcelona, Spain
About
PROBLEM/OPPORTUNITY
Home claims (water leaks, humidity, fires, electrical failures, etc.) represent a significant part of operational costs and have a direct impact on customer satisfaction. In many cases, these incidents could have been avoided or minimized if early warning signs or risk patterns had been detected in time.
Today’s market offers a wide range of technological solutions—IoT sensors, artificial intelligence, predictive monitoring, smart home devices, pattern analysis—that enable new ways to anticipate and prevent claims, reducing both their frequency and severity. We want to explore how to leverage these technologies to bring greater safety, peace of mind, and value to our policyholders.
CHALLENGE OBJECTIVE
To identify and propose technological solutions that prevent or mitigate home-related claims before they occur, through early detection, continuous monitoring, or data-driven predictive models.
SCOPE OF THE CHALLENGE
Included:
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IoT sensors for early detection (water, smoke, temperature, vibration, electricity, etc.)
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Smart home or domotic solutions focused on prevention
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Predictive models using data, AI, or machine learning (meteo data, weather risks, etc.)
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Early-warning systems for policyholders or the company
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Use of building or household data
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New prevention-driven services for customers
Not included (for now):
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Solutions exclusively focused on repair
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Pricing or underwriting tools
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Ideas outside the home/building environment
Topic
- Artificial Intelligence
- Machine Learning
- Big Data
- 5G
- Connectivity
- Edge/Cloud computing
- IOT
- Blockchain
- Image analysis and tagging
- Wireless Networks
- Smart Cities / Smart Building
Type
- Proof of concept/pilot testing
- Client-provider collaboration (commercial agreement)
Organisation
Similar opportunities
Challenge
- IOT
- Big Data
- Connectivity
- Machine Learning
- Edge/Cloud computing
- Artificial Intelligence
- Client-provider collaboration (commercial agreement)
Michael Holtkamp
Head of Open Innovation at LG Future Home (LG Electronics)
Eschborn, Germany
Challenge
Enhancing Accessibility to Housing and Buildings for People with Reduced Mobility
- 5G
- IOT
- Robotics
- VR/AR/MX
- Connectivity
- Computer vision
- Machine Learning
- Wireless Networks
- Edge/Cloud computing
- Artificial Intelligence
- Free tools/sharing resources
- Smart Cities / Smart Building
- Proof of concept/pilot testing
- Systems Integration & Advanced Manufacturing
- Client-provider collaboration (commercial agreement)
Lluis Escribano
Senior Strategy Manager at Grupo Mutua Propietarios
Barcelona, Spain
Challenge
Searching for AI Solutions to Transform Care for People
- Big Data
- Acquisition
- Co-development
- Machine Learning
- Access to clients
- Artificial Intelligence
- Proof of concept/pilot testing
- Horizon Europe's project consortium
- Client-provider collaboration (commercial agreement)
- Acceleration/Incubation, mentoring and co-working spaces
Jordi Picas Vila
Director of innovation at Suara Serveis SCCL
Barcelona, Spain