Software : Data & Analytics : Machine Health
With over 150 person-years of field expertise infused into Senseye’s asset performance, optimization and reliability-centered solutions, we guide industrial organizations to sustainable and scalable outcomes. Trusted globally, Senseye PdM is the leading AI-powered Predictive Maintenance solution to reduce unplanned downtime by 50% and increase operational efficiencies by 40%. With unmatched machine compatibility, a worldwide alliance network and the financial security of Senseye ROI Lock, Senseye is the right partner to deliver showcase digital transformation throughout your organization.
Siemens buys UK industrial IoT firm Senseye for global smart factory push
Siemens has acquired UK-based industrial IoT firm Senseye for an undisclosed fee. Senseye, founded in 2014, provides analytics-based (“AI-powered”) predictive maintenance solutions for industrial machines, offering ways to manage and reduce unplanned downtime and to boost productivity and sustainability. The firm, headquartered in Southampton, was picked up by Zurich-based venture firm Momenta Partners as an early portfolio company; it claims its IoT sensing and analytics product, available on subscription (as-a-service), reduces unplanned machine downtime by up to 50 percent and increases maintenance staff productivity by up to 30 percent.
Predictive Maintenance ROI: A $432 Billion Boost To The World’s Leading Manufacturers
By extrapolating our findings across Fortune Global 500 (FG500) industrial companies, we’ve calculated that these companies are losing 3.3 million hours in production time annually to unscheduled downtime and taking a near $1 trillion financial hit - equivalent to 8% of their annual revenues.
From the returns seen from our clients, we estimate that the widespread use of advanced, AI-driven machine-health monitoring and Predictive Maintenance could save FG500 manufacturers 1.7 million production hours a year and deliver a 4% productivity boost worth $432 billion.
Amazon Lookout For Equipment – Predictive Maintenance Is Now Mature
Amazon Lookout for Equipment is designed for maintainers, not data scientists, and it comes from a place of knowledge. Incorporating expertise and insight gleaned from maintaining its own assets, Amazon aims to make it as easy as possible for users to get started and begin seeing value, addressing potential issues around usability and configurability.
In terms of technical abilities, it currently only covers simple assets like motors, conveyors, and servos – essentially, the kind of assets Amazon itself uses. It doesn’t yet monitor more sophisticated assets like robots or CNC machinery, although, in time, I do not doubt that these, too, will also be covered. As it stands, though, it will be competent for a lot of standard factory equipment.
Senseye secures investment from two giants of Japanese industry
Senseye, an industrial Asset Performance Management company, has secured new investment from NTT DOCOMO Ventures and Sony Innovation Fund. The investment, also supported by existing investors, will drive Senseye’s expansion into the Japanese market and expand its research activities for its proprietary Artificial Intelligence solutions.
Simon Kampa, CEO of Senseye, comments: “We look to Japan for inspiration in manufacturing excellence. Indeed, we derived Senseye from the Japanese word Sensei to highlight that connection. We are therefore pleased and proud to receive this new investment from two leading Japanese businesses.”