MultiSensor AI
Multi-Sensor Condition Intelligence

Continuous condition monitoring across every critical asset

MSAI Connect watches your critical assets continuously, across four sensing domains at once: thermal, visual, vibration, and environmental. The sensors cross-check each other, so a fault gets caught whichever signal it surfaces in. Corroboration across domains separates a real fault from a one-off blip, so the alerts you get are worth acting on. That's the difference between a vibration program blind to electrical distribution and condition monitoring that sees the whole asset.

Trusted by industry leaders

FordExxonMobilChevronSpaceXManchester AirportStellantisInternational PaperOCI Global
MultiSensor AI Connect dashboard showing live thermal and visual streams across plant assets

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30 minutes. No commitment. We'll look at your assets, not a generic demo.

Built for reliability teams in distribution, parcel, cold storage, airports, and data centers - where a single-point-of-failure asset can halt the operation.

Primer

What is condition monitoring?

Condition monitoring is the practice of tracking asset health while equipment runs, so you catch degradation before it becomes failure. Traditional programs rely on a single technique: vibration analysis for rotating equipment, infrared thermography for electrical and thermal faults, oil analysis for lubrication, or acoustic monitoring for leaks and bearings. Each one sees a slice of asset health, never the whole picture.

Costs to operate in horsepower per year - MSAI

Condition based monitoring, across more than one signal

Condition based monitoring (CBM) schedules maintenance off actual asset condition instead of a fixed calendar. It only works as well as the signals feeding it.

  • A vibration-only program can’t see a high-resistance electrical connection.
  • A thermal-only program can miss a developing bearing fault.

MSAI runs thermal, visual, vibration, and environmental sensing together and corroborates across them, so condition based maintenance decisions rest on more than one data source.

MSAI Connect dashboard showing corroborated thermal, visual, vibration, and environmental signals for a single asset
The problem

By the time the alarm fires, it’s already bad. The question is what your monitoring isn’t watching.

You already know the assets are degrading between inspection cycles - you just can’t see it. Threshold alarms react at a fault condition, not the drift leading up to it. And whatever single modality you’re running only catches the failures that announce themselves through that one signal.

Reliability teams describe the same three blind spots:

Coverage

We monitor the high-value rotating equipment - but a lot of it isn’t really covered.

Timing

Usually we find out when throughput drops. The alarm fires and we respond.

Modality

We’ve got vibration on the motors. Electrical isn’t monitored continuously.

That last one is where the most expensive failures live. Vibration covers rotating assets and misses electrical distribution entirely - and electrical degradation is the most frequent source of hard stops.

See how multi-sensor detection closes the gap
What makes MSAI different

Three gaps single-sensor monitoring leaves open. MSAI Connect closes all three.

MSAI Connect runs fixed-mount thermal, visual, vibration, and environmental sensing on your assets, unified through the MSAI Hub as an intelligence layer above the systems you already run. It doesn’t replace your CMMS, SCADA, or BMS - it surfaces what they can’t see.

See the whole picture - continuously.

Vibration protects rotating equipment but can’t see a high-resistance connection, a phase imbalance, or thermal buildup in a panel. MSAI spans electrical, mechanical, and environmental - so the failure gets caught whichever domain it develops in.

Timing - continuous, not a sample.

Vibration platforms that sample periodically capture as little as 1–10% of operational time. Fast-developing and intermittent faults are invisible between windows. MSAI monitors continuously, so an anomaly is visible within minutes of onset - not hours later when the next sample is taken.

Modality - corroborated, not isolated.

A single sensor forces a choice between sensitivity and noise. MSAI correlates signals across modalities, and expert-guided signal calibration tunes the system to your environment - so when an anomaly is confirmed across thermal, vibration, and visual, it’s credible, and a one-off blip on a single channel doesn’t escalate. That’s why MSAI alerts get acted on instead of dismissed.

MultiSensor AI thermal imaging dashboard correlating thermal anomalies across conveyor assetsMultiSensor AI alerts list showing temperature thresholds, asset IDs, and timestamps
Where MSAI monitors

One platform, every critical asset across the facility.

From rooftop solar to conveyance, storage and retrieval, robotics, EV charging, and facilities infrastructure - MSAI Connect monitors the assets that keep distribution operations running.

Isometric distribution center showing where MSAI monitors: on-site solar, facilities infrastructure, storage and retrieval, robotics, conveyance, and EV charging
Head-to-head

What you give up with single-sensor monitoring.

Single-sensor monitoring
MSAI multi-sensor
Vibration covers rotating assets - blind to electrical distribution
Thermal, visual, vibration, and environmental across all three domains
Periodic sampling captures 1–10% of operational time
Continuous monitoring - anomalies visible within minutes of onset
Threshold alarms fire after the fault condition is reached
Early degradation pattern detection, before the window closes
False alarms erode trust in the system
Expert-calibrated, corroborated signals you can act on
Another system of record to manage
Intelligence layer above the systems you already run

This is the gap. A single sensor is one domain, sampled part of the time, with no way to confirm itself. MSAI is continuous, cross-domain, and corroborated.

The ROI math

What one missed fault costs - and what catching it early is worth.

A single unplanned downtime event runs $12K–$24K once you count the stopped line, idled labor, the emergency callout at premium rates, and the secondary damage a seized asset takes out with it. The value of continuous, multi-sensor monitoring is the difference between that event and a part you swap during planned downtime.

The proof is documented, not theoretical

  • Detected a conveyor belt running ~20°C above baseline in a high-throughput fulfillment center - repaired before failure, ~$10K in downtime avoided.
  • Identified belt misalignment and sideguard friction early - corrected during scheduled downtime, ~3 hours of downtime and ~$18K in labor costs avoided.
  • Detected early-stage failures across conveyance assets at a Fortune 50 distribution facility - full ROI within roughly one month.
Industrial conveyor rollers in a distribution warehouse - the kind of asset MSAI continuously monitors
In their words

What reliability and operations leaders tell us about MSAI.

Verified ROI
$12K–$24K

avoided per unplanned downtime event - full ROI within ~1 month at a Fortune 50 distribution facility.

Our vibration program never touched the switchgear. MSAI caught a hot connection in a main panel weeks before it would've taken down the line.
Reliability engineering lead overseeing condition based monitoring and vibration analysis on rotating equipment
Reliability Engineering Lead
Online retailer
Baggage handling can't wait for a quarterly inspection. We see the drift now, and we fix it on our schedule instead of at 4 a.m.
Airport operations director using continuous asset health monitoring on baggage handling rotating equipment
Director of Airport Operations
Major international airport
The difference is trust. When MSAI Connect flags something, my team acts on it - we're not chasing alarms that turn out to be nothing.
Plant maintenance manager running condition based maintenance (CBM) with vibration analysis and oil analysis on industrial assets
Plant Maintenance Manager
Industrial manufacturer
What the demo covers

What you’ll see in 30 minutes

01

Live multi-sensor monitoring on real assets - what corroborated detection looks like when thermal, vibration, and visual line up on the same developing fault.

02

How continuous trending surfaces degradation between inspection cycles, and how expert-guided calibration keeps alerts credible.

03

What deployment looks like in a facility like yours - sensors, the MSAI Hub, and how it layers onto the systems you already run.

$12K–$24K avoided per unplanned downtime event.

Documented at a Fortune 50 distribution facility, with full ROI inside roughly one month.

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FAQ

Short FAQ

Stop trusting one sensor, sampled part of the time, to catch every failure. See the whole picture - continuously.

Book my demo

30 minutes. No commitment.