AI to Anticipate Frailty Before Dependency Appears

How can Artificial Intelligence anticipate frailty before dependency emerges, enabling a predictive, preventive, and personalized socio-health care model?

We are looking for solutions that combine:

• Social data

• Health data

• Behavioral and home-environment data

• Emotional and relational indicators

To generate early warnings, risk stratification, and personalized intervention pathways.

Priority Focus Areas

We are particularly interested in AI solutions addressing:

1️⃣ Predictive Functional Decline

• Early detection of physical or cognitive deterioration

• AI models identifying subtle changes in daily life patterns

2️⃣ Early Detection of Unwanted Loneliness

• Behavioral and emotional signal analysis

• AI-based social risk indicators

3️⃣ Fall Risk & Home-Based Pattern Recognition

• Smart environments

• Sensor-based predictive analytics

• Preventive risk modeling

4️⃣ Hybrid Data Intelligence

• Integration of social + healthcare + contextual data

• Secure cloud-based architectures

• Interoperability frameworks

Emotional AI (E-AI) in Care

Beyond physical indicators, we are interested in Emotional AI (E-AI) capable of:

• Identifying emotional distress signals

• Supporting professionals in relational care

• Enhancing — not replacing — human connection

We believe AI must augment care relationships, not automate empathy.

Ethical, Feminist & Data Sovereignty Framework

Care systems are deeply gendered and socially unequal. Therefore, solutions must integrate:

• An intersectional feminist perspective

• Bias-aware and explainable AI models

• Ethical governance mechanisms

• Data sovereignty principles

• Citizen control over personal data

We are particularly interested in privacy-preserving AI, federated learning approaches, and transparent algorithmic systems.

Technology must empower people — not extract from them.

What We Offer

• Real-world care environments

• Access to social care contexts and pilot populations

• Socio-health integration expertise

• Collaboration with Google-based infrastructures

• Possibility of pilot testing in Catalonia

🚀 Our Vision

We envision an AI-enabled Care Intelligence Layer capable of:

• Anticipating fragility

• Supporting professionals with decision intelligence

• Empowering older adults

• Reducing avoidable hospitalizations

• Strengthening community-based care

The future of care is not reactive.

It is predictive, preventive, emotional, and ethically grounded.

We work with Google technologies and cloud infrastructures to explore secure, scalable, and ethical AI solutions for the care sector.

Now, we are looking for startups and innovators ready to co-create the next generation of predictive, preventive, and person-centered care systems.