Predictive maintenance, built for scale

Know which machine will fail before it costs you a shift.

FactoryPilot AI monitors your industrial assets in real time and predicts equipment failure before it happens — so maintenance teams can act on a schedule they control, not one dictated by breakdowns.

Explore the platform
Real-timeasset health monitoring
Predictivefailure forecasting
Unifiedview across facilities
Bearing wear detectedLine 3 · Press Unit 04
Asset Health — Line 3
18 machines · updated 2m ago
LIVE
81Health
Vibration — Press Unit 04mm/s
Press Unit 04Attention
Conveyor Motor 12Watch
Hydraulic Pump 07Healthy
CNC Spindle 02Healthy
Unplanned downtime -31%Facility average, trailing quarter
Built for teams operating complex industrial facilities
Meridian Manufacturing Altair Industrial Cascade Foods Northgate Energy Ferrostrand
The problem

Maintenance is still reactive at most facilities.

Equipment fails without warning, work orders get created after the damage is done, and downtime absorbs margin that could have been protected with a few days' notice.

  • 01
    Failures arrive without warning

    By the time a fault is audible or visible, the failure is often already underway.

  • 02
    Maintenance schedules are guesswork

    Fixed-interval maintenance either wastes labor or misses the failure window entirely.

  • 03
    Sensor data goes unused

    Vibration, temperature, and pressure readings are logged but rarely analyzed in real time.

  • 04
    Downtime is expensive and unplanned

    Unscheduled stoppages cost far more than the repair itself once lost output is counted.

From raw sensor signal to a prioritized work order

FactoryPilot AI turns continuous machine data into a ranked list of what needs attention — and when.

📡
SenseVibration, temperature, and pressure data collected continuously
🧮
ModelML models learn normal operating signatures per machine
PredictFailure risk scored and forecast with a maintenance window
ActWork orders routed to maintenance teams automatically
The solution

A single, continuously updated view of every machine's condition.

Operations, maintenance, and engineering teams work from the same live picture — with enough lead time to schedule repairs on their terms.

AI capabilities

Every layer of industrial intelligence, in one platform

FactoryPilot AI is built as an operating layer for industrial equipment — not a dashboard bolted onto your historian.

Predictive Maintenance Engine

Forecast failure windows for critical equipment based on live sensor signatures.

Machine Monitoring

Continuous condition tracking across vibration, temperature, and pressure signals.

Industrial IoT Integration

Connect existing sensor networks and historians without a hardware overhaul.

Asset Health Intelligence

A single health score per machine, built from every signal being monitored.

Operational Dashboards

Facility and portfolio-level views built for plant managers and executives alike.

Digital Twin View

A live, spatial representation of your factory floor tied to real asset data.

How it works

From connection to prediction in four steps

01

Connect your assets

Integrate existing sensors, PLCs, and historians through pre-built connectors.

02

Learn normal behavior

Models build a baseline signature for each machine during an initial observation period.

03

Predict & prioritize

Failure risk is scored continuously and ranked across your fleet of equipment.

04

Schedule & resolve

Work orders route to maintenance teams with lead time to plan the repair.

Industries

Built for facilities where downtime isn't an option

🚗

Automotive

Line-level monitoring across high-throughput assembly.

🍽️

Food Manufacturing

Equipment reliability without compromising hygiene protocols.

💊

Pharmaceuticals

Asset monitoring built for validated, regulated environments.

Energy

Predictive insight for turbines, generators, and grid infrastructure.

⛏️

Mining

Condition monitoring for equipment operating in extreme environments.

🧪

Chemical Manufacturing

Continuous monitoring for pumps, reactors, and critical valves.

🏗️

Heavy Industry

Fleet-wide visibility across large, distributed equipment bases.

📦

Logistics & Distribution

Keep conveyor and material-handling systems running on schedule.

Inside the platform

Interfaces built for plant floor decisions

Every screen maps to a decision someone on your operations or maintenance team needs to make.

console.factorypilot.ai/facilities/line-3/health
Avg. Asset Health
81.4
▲ 1.8 vs last week
Machines Monitored
312
▲ 14 new this month
Unplanned Downtime
-31%
▲ vs. last quarter
Open Work Orders
22
▲ 5 since yesterday
Predicted Failure Risk Line 3 · 8 weeks
Maintenance Queue Sorted by risk
Press Unit 04 — Bearing wearAttention
Conveyor Motor 12 — VibrationWatch
Hydraulic Pump 07 — Pressure driftWatch
CNC Spindle 02 — NormalHealthy
Compressor 09 — NormalHealthy
Security

Handled with the rigor your OT and IT teams expect

Built on infrastructure designed for the operational and compliance requirements of industrial enterprises.

🔒
Data encryption

Data encrypted in transit and at rest across the platform.

🧩
Role-based access

Granular permissions by facility, team, and role.

🛰️
Segmented OT connectivity

Designed to respect existing OT/IT network boundaries.

📋
Audit & access logs

Full visibility into who accessed what, and when.

Cloud infrastructure

Scales with your facilities, not against them

Built on cloud-native infrastructure that connects to the systems already running on your floor.

Historian
PLC / SCADA
ERP
CMMS
IoT Gateway
BI Tools
Benefits

Built for teams accountable for uptime

  • Fewer unplanned stoppages

    Predictive alerts give maintenance teams lead time to plan instead of react.

  • Longer equipment life

    Early intervention reduces the compounding damage of undetected wear.

  • Clear prioritization

    A ranked queue means maintenance teams always know what matters most today.

  • Facility-wide visibility

    Plant managers and executives see the same live picture, at the right altitude.

0
% reduction in unplanned downtime, typical
0
Machines monitored per deployment (avg.)
0
Days average early-warning lead time
0
/7 automated condition monitoring
"

Customer stories will appear here as our early manufacturing partners complete their first full production cycle on the platform.

Pricing

Priced for the scale of your operation

Every plan includes asset monitoring, predictive alerts, and maintenance prioritization. Enterprise pricing scales with facility and machine count.

Professional

For a single facility getting started
Custom / contact sales
  • Up to 100 monitored machines
  • Predictive maintenance alerts
  • Standard dashboards
  • Email & in-app alerts

Custom Deployment

For complex, regulated, or on-prem environments
Custom / contact sales
  • On-prem or hybrid deployment options
  • Custom compliance configuration
  • API access
  • Dedicated account team
FAQ

Common questions

A CMMS manages work orders after they're created. FactoryPilot AI predicts failures before they happen and generates the work order — most customers run it alongside their existing CMMS.

Existing vibration, temperature, or pressure sensors are a strong starting point. Additional IoT sensors can be added incrementally as coverage expands.

Yes. The platform connects to common historians, PLCs, and SCADA systems rather than requiring a hardware overhaul.

Data is encrypted in transit and at rest, with role-based access controls and full audit logging. Deployment options are available to respect OT network segmentation.

No fixed minimum. Pricing is scoped to your organization's facility and machine count during a scoping call with our team.

See FactoryPilot AI on your own equipment

We'll walk through a live view built from your facility's assets and talk through fit for your operation.