46%
Reduction in test time
83%
Increase in test throughput
$6M
Estimated savings over 3 years
Catch Issues Early,
Solve Problems Fast.
Built by engineers for engineers, LinePulse is designed specifically for discrete manufacturing. By combining machine learning, real-time SPC and deep traceability, you get faster, deeper insights—far beyond what traditional solutions can deliver.
Trusted by Leading Manufacturers Worldwide
Deploy in 30 days.
Save 80% on costs
Get plants up and running with LinePulse faster and cheaper
than competing products.
Easy data integration
LinePulse understands and organizes all your complex manufacturing data for fast set-up and instant analysis.
Ready to use on day 1
Get value from the platform immediately with on-demand analysis and purpose-built machine learning models
Engineering support
Ex-manufacturing and quality engineers act as an extension of your team for onboarding and training.
Detect and solve issues
before they snowball
Not only monitor, but predict and alert when issues are expected to occur.
Real-time SPC
Advanced, real time SPC with configurable dashboards, on-demand capability reporting, and rule-based alerts sent to Microsoft Teams.
Predictive quality alerts
Quality Monitors that act as a second line of defense, alerting you when failure rates start to escalate — and tell you why.
Predictive process alerts
Process Monitors that detect abnormal relationships between signals and alert you even before processes go out of control.
Investigate complex
problems quickly
When issues do occur, triage and find root causes much faster than ever before.
Automated RCA
Automated Root Cause Analysis analyzes relationships between millions of data points, showing you the signals that most likely caused the problem.
Part analysis
Part Analysis analyzes a product’s journey for missing data and reveals when a product goes through an abnormal process flow.
Cross-plant traceability
Part History traces every step of a product’s journey across lines and even across facilities, revealing exactly and where problems began.
Make intervention
decisions confidently
Industrial-strength data ingestion and machine learning create results you can rely on.
Fully traceable data
Data from multiple systems is transformed into unified, traceable data — a single source of truth for process and quality teams
Deep analysis
For the most granular, accurate analysis possible, there are no limits on the amount of data LinePulse can ingest.
Proven ML models
Ready-to-use machine learning models are battle-tested on millions of data points from Tier-1 manufacturing plants across the globe.
Case Studies
Proven Impact
Reducing Hydrogen Fuel Cell Test Times by 46%
46%
Reduction in test time
83%
Increase in test throughput
$6M
Estimated savings over 3 years
On-road engine failure predictions 100km in advance
90%
Injector model accuracy
100km
Warning distance before failure
90%
Sensor model accuracy