Certified Startup
QURIG TECHNOLOGY PRIVATE LIMITED
Sector:
Healthcare
Business Model:
B2B B2C
Industry:
Assistive Tech
Technology:
Mobile Apps Internet of Things (IoT)
About
Incorporation Date
Feb 14, 2025
Incorporation Type
Private Limited Company
Registered State
Kerala
Registered District
Thiruvananthapuram
Registered Address
3/337 , Niranjana , Karunilakode , Edava , Chirayinkeezhu, Edava, Thiruvananthapuram, Kerala
Office State
Kerala
Office District
Thiruvananthapuram
Office Address
QURIG TECHNOLOGY PRIVATE LIMITED 3/337, NIRANJANA, KARUNILAKODE, EDAVA ,Thiruvananthapuram- 695311
Team
No Photo
Anju S
Co-founder
No Photo
CHANDHU S VRETHAN
Founder
Maalagha
Maalagha is a care intelligence platform and connected care ecosystem designed for elderly and palliative care. At its core, Maalagha integrates custom smart wearables for elderly patients that continuously monitor vitals, detect and predict fall risks, and identify stress patterns in real time—enabling proactive intervention instead of reactive care.
Sector:
Healthcare
Industry:
Assistive Tech
Business Models:
B2B B2C
Technology:
Mobile Apps Internet of Things (IoT)

Maalagha is a care intelligence platform and connected care ecosystem designed for elderly and palliative care. It brings guardians, verified professional caregivers and care organizations onto a single, trusted digital infrastructure.

At its core, Maalagha integrates custom smart wearables for elderly patients that continuously monitor vitals, detect and predict fall risks, and identify stress patterns in real time—enabling proactive intervention instead of reactive care.

This real-time data feeds into an AI-driven wellness and predictive intelligence engine that learns from identified risk's, activity signals, care interactions, behavioral patterns, and contextual data. Each participant—patients, caregivers and guardians—has a dynamic, evolving wellness profile.

By combining wearable-driven insights with on-demand care orchestration, Maalagha reduces preventable incidents, improves patient safety, and significantly lowers guardian stress and burnout.
At the heart of Maalagha is a real-time care intelligence engine powered by continuous data from custom smart wearables and care interactions.

Maalagha’ s wearable layer continuously captures vitals, movement patterns, fall-risk indicators, and stress signals, creating a live stream of patient health and behavior data. This is combined with care activities, wellness logs, and contextual data to build a comprehensive, real-time understanding of both patient and caregiver states.

This data feeds into an AI-driven predictive engine that identifies early risk signals such as:

•Fall risk and unsafe movement patterns 

•Patient stress and behavioral decline 

•Caregiver burnout and emotional exhaustion 

Each participant in the ecosystem has a dynamic, evolving profile, enabling hyper-personalized recommendations and proactive interventions before critical incidents occur.

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