Mission

Solving the shortage of nursing staff and reducing high costs by augmenting people with a robust, symbiotic infrastructure of building design, AI, robotics and IoT, with the human healthcare practitioners acting as the heart and mind of the system.

Problem

  • Germany‚Äôs aging population is one of the most important challenges.
  • Germany has a population of more than 84 million.
  • More than 18 million people in Germany are aged 65 and over.
  • More than 2,5 million people in Germany are aged 85 and over.
  • One out of three people over the age of 65 lives alone.
  • Germany already has more than 4 million people in need of care, and that number keeps rising.
  • The life expectancy is 81 years.

Solution

We believe that future of nursing homes can only be created with the help of Co-design.

Hash-Tech offers an automated robotic solution for the elderly in nursing homes.

Some benefits of the Co-design principle

  • By designing the building ourselves, we reduce uncertainty during AI-based object detection and stabilize scores more consistently
  • By designing internal items on our own (lavatatories, toilets), AI object detection models suffer less from model drift
  • Autonomous robots need less time to reach maturity with symbiotic design
  • Roof rails for robots clear the way for people to pass more efficiently
  • Nurses/health practitioners are the core of the system, augmented through supportive robots, AI and IoT for a more productive and cost-efficient work environment
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