Wormsensing designs and manufactures next-generation strain sensors utilizing innovative piezoceramic technology for dynamic strain measurement. These sensors resolve traditional conflicts between integration, performance, and accessibility in vibration monitoring applications. The resulting solutions enable systematic, large-scale measurements that enhance operational control and reliability for industrial clients.
Funding
$3.4M 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 vibration sensors often struggle to balance performance, integration, and accessibility, hindering large-scale, systematic vibration monitoring. Existing sensors may lack the sensitivity for precise dynamic strain measurement or be too bulky and difficult to integrate into various applications. This limits the ability to effectively monitor and control operations in industries where reliability and sustainability are critical.
Solution
Wormsensing manufactures thin piezo ceramic vibration sensors using a unique process to produce high-quality 2D crystalline materials. These sensors enable precise dynamic strain measurement, addressing the limitations of traditional sensors. The innovative form factor resolves the conflicts between integration, performance, and accessibility, unlocking previously unattainable measurements. This technology facilitates accessible, systematic, and large-scale vibration monitoring, allowing customers to improve data pipelines and control operations.
Target Audience
The primary customers are industries requiring precise and scalable vibration monitoring, such as manufacturing, infrastructure, and transportation.
Features
- Piezoceramic sensing element with an innovative form factor
- High-quality 2D crystalline materials for precise dynamic strain measurement
- Production capacity of 2 million sensors per year
- End-to-end support including electronics, data treatment, IA, and IoT