Suppliers Netherlands Sensorfy

	Sensorfy Customized predictive maintenance for industrial companies
HQ Location	Netherlands
Year Founded	2009
Company Type	Private
Revenue	< $10m
Employees	11 - 50
Website	Open website

Sensorfy

Customized predictive maintenance for industrial companies

HQ Location

Netherlands

Year Founded

2009

Company Type

Private

Revenue

< $10m

Employees

11 - 50

Website

Open website

Company Description	It’s time for a better maintenance strategy. We build the world’s most accurate predictive technology and work with forward-thinking manufacturers to eliminate surprises from industrial maintenance. Read More
Contents

Company Description

It’s time for a better maintenance strategy. We build the world’s most accurate predictive technology and work with forward-thinking manufacturers to eliminate surprises from industrial maintenance.

Sensorfy’s Technology Stack maps Sensorfy’s participation in the IoT technology stack.

Application Layer
Functional Applications

Cloud Layer
Platform as a Service

Infrastructure as a Service

Edge Layer
Automation & Control

Processors & Edge Intelligence

Actuators

Sensors

Devices Layer
Robots

Drones

Wearables

Supporting Technologies
Analytics & Modeling

Application Infrastructure & Middleware

Cybersecurity & Privacy

Networks & Connectivity

Technological Capability

None

Minor

Moderate

Strong

Number of Podcasts1

EP 143 - How can OEMs transition to a service-based business model - Gijs Meuleman, CEO, Sensorfy

Friday, Aug 26, 2022

In this episode, we interviewed Gijs Meuleman, CEO of Sensorfy, specialist in predictive solutions for industrial companies. Sensorfy designs and develops predictive maintenance solutions to processes sensor data near the source, with machine learning on the edge.

We discuss how to transform a transactional business model into service-based, data-enabled business that is more closely aligned with benefits realized by the end customer. We also discuss how predictive maintenance impacts operations cost structures to allow leaner maintenance organizations while sustaining service levels.

Key Questions:

Why is predictive maintenance one of the most widely adopted IoT use cases?
How do you evaluate the different parameters to decide if predictive maintenance makes sense in a specific situation?
How do predictive analytics enable business model innovation?
What is the current level of maturing in industrial equipment markets in terms of adopting service based business models?

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Overview

Sensorfy

IoT Snapshot

Technology Stack

Podcasts