P-Voice & P-Vision: Multi-Modal Acoustic and Visual AI for Vulnerable Population Monitoring

Parentfy is developing a multi-modal AI monitoring platform for vulnerable populations — combining two complementary modules:

P-Voice (live): An acoustic AI system using CNN+BiLSTM deep learning to analyse vocal patterns in real time. Currently deployed on App Store and Google Play for infant care. All inference runs on-device — no raw audio transmitted, privacy-preserving by design.

P-Vision (in development, TÜBİTAK 1501 funded): A computer vision module using camera and sensor fusion to detect movement, posture, and behavioural patterns. Designed for non-invasive monitoring in home and care environments — no wearables, no physical contact required.

Together, P-Voice + P-Vision form a non-invasive, edge AI monitoring layer that can complement existing IoT and wearable infrastructure in nursing homes and home care settings. Use cases include: out-of-bed detection, distress vocalisation alerts, movement pattern analysis, and caregiver workload reduction through automated monitoring alerts.

We are seeking a European care organisation or digital health company to co-develop and pilot-validate the multi-modal system in real care environments. A partnership would accelerate our Eurostars Call 11 application (September 2026), for which European clinical validation evidence is a key prerequisite.

HARTMANN's challenge — continuous vitals and workflow sensors for nursing homes — represents an ideal co-development context for P-Vision's next development phase.