Litmus uses the Internet of Things to bring in the data needed to fuel AI

The Internet of Things (IoT) in recent years has launched a dizzying amount of new tools recording, analysing and acting on data from temperature, motion and other sensors along those lines in buildings, warehouses and factories. 

However, the latest Series B fundraising round concluded by Litmus Automation shows that there is plenty of room for growth. The company concluded its round with $30 million. The round was led by Belden, an industrial automation company, and an anonymous “large strategic investor” who wished to remain anonymous. Belden provided $20 million and the remainder was provided by the investor, accordingly. 

Litmus Automation helps manufacturers collect edge device data so they can use it for applications such as AI. Vatsal Shah, the co-founder of the company, notes that he got the idea for Litmus based on his experience at Rockwell Automation as an industrial design engineer. He realised the complexities of collecting pipeline data from heterogenous industrial systems were only going to increase and decided it was time to act on his own.

As Shah notes: “The biggest challenge enterprise companies face is access to the data they need to fuel machine learning and AI models. This is something Litmus specialises in.”