Precision Insight. Simplified.
We use sensor technology and AI to deliver precise and actionable monitoring on state of industrial equipment - allowing to predict equipment maintenance needs early, thereby preventing breakdown.
Our Business Concept Consists of

HARDWARE & SOFTWARE
A seamless plug-and-play system that equips machinery owners with continuous, real-time insights into asset performance through intelligent sensor tags and a user-friendly software interface.

AI-POWERED ANALYTICS
Advanced real-time analytics driven by AI detect vibration patterns, anomalies, and long-term machinery behavior, delivering deep insights into performance and potential failure points.

SMART REPORTING
Timely alerts and automated reports highlight critical faults and performance trends—delivered to support proactive decision-making and maintenance planning.
Catch Equipment Failures Before They Happen
Industrial equipment like gearboxes, bearings, seals, and pumps often show signs of failure weeks or even months before a breakdown. Our technology detects the earliest indicators of trouble within just days — giving you the critical time needed to act and prevent costly malfunctions.







Your ROI
This is the Return-On-Investment we have been able to generate in our past work towards operational KPIs.

FAQ's
What do we do?
We digitalise non-digital equipment and machinery. We use sensors and latest analysis technologies to make it possible to generate data, and provide insights based on the data.
What's our difference to any other company using sensors to collect data?
Our concept is aimed at cases where you have a large number of data collection points, a large fleet of equipment. We provide cost-efficient and easy-to-deploy solution to monitor your fleet, coupled with an automated analysis mechanism to predict early any signs of breakdown.
What industries is Sensord working in?
At first we are helping customers in Equipment Health Monitoring cases, where the interest is to detect mechanical faults well in advance before anything breaks. Breakdowns typically happen over weeks or months. We can tell within days when that starts to happen.
Why is this important?
Something like 70-80% of manufacturers collect data manually (The Manufacturing Leadership Council, 2024), meaning that these equipment lack digital interface for automated data reporting. We can digitalise all of these.
Where does this concept come from?
Our team members have done sensor businesses before, deploying tens of thousands of sensors on a variety of use cases, over several years. This concept builds on those experiences by adding the analysis capabilities of AI.