Certified Startup
SIGHTICA INNOVATIONS PRIVATE LIMITED
Sector:
Healthcare
Business Model:
B2C
Industry:
Assistive Tech
Technology:
Internet of Things (IoT) AI / ML Mobile Apps
About
Incorporation Date
Sep 17, 2020
Incorporation Type
Private Limited Company
Registered State
Kerala
Registered District
Ernakulam
Registered Address
Door No. 55/306 F2, 5th floor South Square Building, Panampilly Nagar Ernakulam Ernakulam KL 682036 IN
Office State
Kerala
Office District
Ernakulam
Office Address
55/306, F-2, 5th Floor, South Square Bldg, Panampilly Nagar, Kochi - 682036
Team
Asha Betsy Varghese
Co-founder
Sunil J Mathew
Founder
Accessibility Solutions for the visually impaired and elderly
Accessible & Assistive Solutions for the Visually Challenged and Elderly - To improve the quality of life of the visually challenged and the elderly (over 65 years of age) aimed at the 165+ million in India and over 300+To million market worldwide and empower them to lead an independent life.
Sector:
Healthcare
Industry:
Assistive Tech
Business Models:
B2C
Technology:
Internet of Things (IoT) AI / ML Mobile Apps

The product dev is in the Proof Of Concept stage and is based on the experience of 18 years working with the visually challenged. Features :

  • Build a low cost assistive technology solutions ( customized sensors with Apps) catering to the visually challenged and elderly.

  • Device with Sensors that can be placed in the homes of the Blind & elderly (especially patients suffering from Dementia or Alzheimer's) who may find themselves alone or living single.

  • Sensors or the mesh that can be created understands with the help of AI  any odd behaviour or movements and triggers an alert - cloud based from the database which is linked to the volunteer or family members 

  • The application / backend is unique and made affordable at $100 USD/ 7500 INR per device so that the masses use and benefit from it. 

  • The aim of this application is to prevent those sorts of injuries with an artificially intelligent (AI) in-home system that can be added or integrated seamlessly into any home security or can be used as a standalone product.Using Machine Learning proprietary algorithms, we can study the patterns of the user in the space, the number of times a particular movement is made (sitting, standing. Bending etc)

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