Touch Sensity develops a non-intrusive technology that utilizes mathematical models and artificial intelligence to monitor and analyze physical interactions in materials, such as pressure and deformation, without the need for additional sensors. This system enables real-time diagnostics and prognostics of material health, addressing the challenges of non-destructive testing and predictive maintenance across various industries, including aeronautics and defense.
Funding
$3.1M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Traditional non-destructive testing and predictive maintenance rely on external sensors to monitor material health, which can be intrusive, costly, and limited in scope. Detecting and analyzing physical interactions within materials, such as pressure, deformation, and impact, often requires complex setups and specialized equipment. This makes real-time diagnostics and prognostics challenging across various industries.
Solution
Touch Sensity offers a non-intrusive technology that monitors and analyzes physical interactions within materials using mathematical models and artificial intelligence, eliminating the need for additional sensors. The Sensity Tech system captures and processes data to provide real-time location and analysis of pressure, traction, deformation, impact, and damage. Analyzed models are retransmitted as a map, enabling diagnosis and prognosis of material health and wear. This comprehensive system facilitates predictive maintenance and non-destructive testing across various applications.
Target Audience
The primary customers are in industries such as aeronautics, space, transport, defense, and general manufacturing, who require advanced material health monitoring for predictive maintenance and non-destructive testing.
Features
- Non-intrusive monitoring of materials using embedded application
- Real-time location and analysis of pressure, traction, deformation, impact, and damage
- Utilizes mathematical models and artificial intelligence for data processing
- Generates a visual map of analyzed models for easy interpretation
- Provides diagnostic and prognostic capabilities for material health
- Adaptable to a wide range of applications in non-destructive testing and predictive maintenance