Industrial Condition Intelligence
AI-native predictive analytics for mission-critical infrastructure.
From asset signals to condition intelligence and planned maintenance action.
SibylCor diagnoses the equipment—it doesn’t just detect the signal. By combining engineering-informed models, operating data, and diagnostic reasoning, the platform identifies developing failure mechanisms earlier and gives operators more time to plan the response.
Scroll to understandThe cost of not knowing early enough.
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$1.4T at risk
Estimated annual losses from unplanned downtime across the world’s 500 largest companies.
Source: Siemens / Senseye, The True Cost of Downtime 2024 (PDF, opens in a new tab)
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87%
of major manufacturers surveyed gather data that can support predictive maintenance.
Source: Siemens / Senseye, The True Cost of Downtime 2024 (PDF, opens in a new tab)
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81 minutes
Average recovery time following an industrial downtime event — up from 49 minutes five years earlier.
Source: Siemens / Senseye, The True Cost of Downtime 2024 (PDF, opens in a new tab)
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More than half
of reported shipping incidents globally in 2025 involved machinery damage or failure.
Source: Allianz Commercial, Safety and Shipping Review 2026 (PDF, opens in a new tab)
The operating environment has changed. Maintenance operations and planning have to change with it.
Critical industrial assets are being asked to operate under higher utilization, greater operational complexity, and tighter performance requirements.
At the same time, the cost and consequences of unplanned downtime continue to rise. These realities require a more intelligent, integrated approach to asset health and maintenance.
The problem isn’t more data. It’s knowing what the data means.
Critical assets already generate large volumes of operating data. Existing systems can often tell you that something changed—but not always what changed, why, or what may happen next.
SibylCor adds the reasoning and diagnosis needed to answer the questions that matter.
- Sensors & Instrumentation
- Control & Operations Data
- Maintenance & Inspection Records
- Engineering & Design Information
- Operational Context
- External & Environmental Data
The Questions That Matter
- What is happening now?
- Why is it happening?
- How severe is it?
- What will likely happen next?
- What should we do about it?
- What is the risk and cost if we don’t?
Why SibylCor
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Your infrastructure is already the sensor.
Through Electric Signature Analysis, SibylCor is designed to read the voltage and current waveforms your motors already produce—using the current and potential transformers already in place. No proprietary hardware.
How Electric Signature Analysis works -
What does an unplanned failure actually cost?
SibylCor is designed to compute the Total Cost of Risk for every monitored asset: process unavailability, degraded efficiency, emergency procurement and missed operating windows.
Explore Total Cost of Risk
Built for your most critical assets.
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Data Centers
Keep critical infrastructure online with earlier detection and fewer surprises.
Explore Data Centers -
Power Generation
Reduce unplanned outages and extend asset life across your fleet.
Explore Power Generation -
Oil & Gas / LNG
Improve reliability and safety for critical rotating equipment and facilities.
Explore Oil & Gas / LNG -
Experienced team. Established technical foundation.
SibylCor combines experienced technology and finance leadership with a founding team of engineers whose expertise spans industrial analytics, energy infrastructure, maritime systems, manufacturing, and other mission-critical environments.
The technical team brings an established history of working together on complex engineering and industrial analytics challenges.
Learn About SibylCorBetter decisions start with understanding the condition earlier.
If you are responsible for the reliability, performance, or lifecycle of critical rotating equipment, we would like to hear about the problems you are working to solve.
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Operating Evidence
Signal behavior deviates from expected condition.
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Diagnosis
Likely developing failure mechanism identified.
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Confidence
Evidence supports the diagnosis.
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Intervention Window
Condition understood early enough to plan the response.
Or email info@SibylCor.com
Start with one critical asset class
One critical asset class, one narrow engagement—starting where the consequence of failure is already understood, with a low-risk path to validate SibylCor.