Delivering Measurable Proactive Business Value
We turn rotating-machine condition data into trusted maintenance decisions and verified results.
Customer value created
Reduction in production risks
Reduction in notified repairs
From Condition Data to Measurable Impact
Industrial organizations already collect vast amounts of condition data. The challenge is turning it into trusted maintenance actions that deliver measurable business value. Vibration can reveal developing faults in rotating equipment, but detecting a fault is only the beginning. The real challenge is knowing what matters, when to act, and how to prove the value of maintenance.
Data without decisions
Condition data is abundant, but knowing what matters and when to act remains a challenge.
Uncertain maintenance decisions
Maintenance value is difficult to prove
Continuous improvement is hard
Turn Condition Data into Measurable Maintenance Value
Maintenance creates value when every decision is trusted and every outcome is verified.
Our Approach
MyAsensiot Condition Screening® transforms rotating-machine condition data into standardized, CMMS-driven work orders, combining intelligent analytics, expert validation, and the field work performed by your maintenance teams.
Scale
Expand maintenance coverage. Screen large asset populations using the data and systems you already have.
Engage
Impact
Verify maintenance effectiveness. Measure the outcome of every maintenance action.
Value
Process
How it Works
Verified results continuously improve maintenance performance, supporting field teams to do their best work where it matters most.
Why Proactive Maintenance Works
Value isn’t created by reacting earlier to repairs. It’s created by reducing the need for repairs through more proactive impactful maintenance actions.
MyAsensiot Condition Screening® — risk view
Prioritize Maintenance by Risk
Shift Maintenance Earlier
Lower repair needs | Lower production risk | Longer asset life
Why Organizations Choose Asensiot
A practical path to proactive maintenance, built around your existing data, routines, processes, and teams.
Maximize Existing Investments
Get more value from the data, systems, and maintenance processes you already have.
Measurable Proactive Business Value
Reduce risk and repair needs while extending asset life and supporting more sustainable operations.
Rapid Time to Impact
Start creating impact quickly using your existing maintenance field routines.
Continuous Collaboration
Work alongside maintenance teams to support confident action, enable effective maintenance, and verify outcomes.
Trusted Maintenance Decisions
Combine intelligent analytics with expert validation to make confident CMMS work order decisions.
Verified Maintenance Impact
Verify completed maintenance actions and measure their effectiveness.
Proven Maintenance Results
We work alongside maintenance teams to turn condition insights into confident decisions, effective maintenance actions, and verified results that deliver measurable impact.
No. of individual assets
Percentage of risk categories by realized coverage
Reduction in
active risks
Reduction in
repair needs
Assets screened
per month
- Condition-driven repair interventions
- Proactive maintenance actions enabled
Supporting Clients’ Sustainable Maintenance Goals
Maintenance Development Engineer, Pankaboard
“With Asensiot, we increased our monthly route condition-monitoring coverage from 300 to around 800 assets. Our team now spends less time analyzing data and more time taking the right maintenance actions. By finding developing issues early enough to prevent failures—not just detecting faults after they become obvious—we can prioritize repairs based on actual condition data and take proactive actions, such as targeted relubrication, before issues develop into repair needs. This has reduced repair demand and lowered the number of high-risk assets.”
“The integration of MyAsensiot with the Pinji Novi CMMS system significantly increased operational impact-implementation was fast and easy”
Built for Rotating Asset-Intensive Industries
OEM
Frequently Asked Questions
Maintenance value comes from taking the right action—not simply collecting more data. Asensiot combines routine handheld vibration measurements with automated analytics, field observations, and expert validation to efficiently screen hundreds of rotating assets using existing maintenance routines and resources. This scalable approach helps organizations identify priorities earlier, support proactive maintenance, and maximize the value of existing condition monitoring programs.
Business value is created when maintenance actions deliver measurable improvements—not simply when faults are detected. MyAsensiot Condition Screening® validates maintenance recommendations, confirms completed actions through remeasurement, and measures the resulting improvements. This enables organizations to demonstrate reduced repair needs, lower production risk, extended asset life, and continuous maintenance improvement.
Traditional condition monitoring focuses on detecting equipment faults and generating notifications. MyAsensiot Condition Screening® goes further by transforming condition data into trusted maintenance decisions, validating recommendations, and verifying the effectiveness of completed maintenance actions. The result is a standardized maintenance process that delivers measurable operational and business outcomes.
No. MyAsensiot Condition Screening® is designed to complement your existing maintenance processes and condition monitoring investments. Rather than replacing your current systems, it transforms existing condition data into standardized, prioritized maintenance recommendations that integrate into your maintenance workflow, helping organizations gain more value from the resources they already have.
Automation is essential for efficiently screening large volumes of condition data, but critical maintenance decisions still require expert validation. MyAsensiot combines intelligent analytics with ISO-certified vibration expertise to ensure every maintenance recommendation is practical, reliable, and trusted before action is taken.
Vibration data is fundamentally different from most industrial process data. Machine behavior, operating conditions, measurement quality, and application context all influence the analysis. While AI can efficiently identify patterns and anomalies, accurate diagnosis still requires specialist knowledge. Combining automated analytics with expert validation ensures maintenance recommendations are both accurate and actionable.
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