Predictive Quality Intelligence

Catch defects before they happen

MoldSight connects to your sensor data and uses AI to predict quality failures in injection molding, die casting, and CNC machining — before a single bad part leaves the line.

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73%

Scrap Reduction

Average across active deployments

< 200ms

Prediction Latency

Edge inference per shot cycle

12M+

Parts Monitored

Across injection molding and CNC lines

99.4%

Defect Catch Rate

Before parts reach end-of-line inspection

MoldSight — Live Production Monitor

Manufacturing production line with automated quality inspection

CYCLE TIME

24.3s

±0.2s nominal

CAVITY PRESSURE

842 bar

Within tolerance

DEFECT RISK

2.1%

Drift detected

PARTS TODAY

4,218

99.6% pass rate

Capabilities

Predict quality failures across your entire production floor

Real-Time Defect Prediction

Predict defects within a single cycle

Real-Time Defect Prediction

Predict defects within a single cycle

MoldSight analyzes pressure curves, temperature profiles, and cycle timing in real time to flag defective parts before they cool. Models run at the edge for sub-200ms inference on every shot.

Quality Drift Detection

Catch drift hours before manual SPC

Quality Drift Detection

Catch drift hours before manual SPC

Statistical process control meets machine learning. MoldSight detects gradual drift in process parameters — tool wear, material variation, thermal shifts — and alerts operators before yield drops.

Sensor Fusion Engine

Fuse 50+ sensor channels per machine

Sensor Fusion Engine

Fuse 50+ sensor channels per machine

Combine data from cavity pressure sensors, thermocouples, accelerometers, and machine PLCs into a unified process fingerprint. MoldSight correlates signals that humans can't track simultaneously.

Root Cause Analysis

Pinpoint root cause in minutes

Root Cause Analysis

Pinpoint root cause in minutes

When a defect pattern emerges, MoldSight traces it back to specific process parameters — which cavity, which sensor, which shift. Engineers get actionable diagnostics, not just alerts.

Edge Deployment

Zero-downtime local inference

Edge Deployment

Zero-downtime local inference

Models run on ruggedized edge hardware on the factory floor. No cloud dependency during production. Data syncs to the cloud for model retraining and fleet-wide analytics when connectivity allows.

ISO 9001 Ready

Sub-200ms Inference

Shop Floor Proven

Edge-First Architecture

Process

From sensors to predictions in weeks

Connect Your Sensors

MoldSight integrates with existing cavity pressure sensors, thermocouples, and machine PLCs via standard industrial protocols. No new hardware required.

Build a Process Baseline

The system learns your normal operating envelope from historical production data. It maps the relationship between process parameters and part quality.

Predict in Real Time

On every shot cycle, MoldSight scores part quality and flags predicted defects. Operators see pass/fail and confidence scores on the line display.

Improve Continuously

Models retrain automatically as new production data flows in. Quality thresholds tighten over time, and drift alerts get sharper with every run.

From the floor

Trusted by manufacturing teams

“We cut our scrap rate by 61% in the first quarter. MoldSight caught thermal drift on our 800-ton press that our operators had been chasing for months.”

Marcus Holt

VP of Manufacturing, Precision Plastics Group

“The root cause analysis alone paid for the deployment. We went from spending days diagnosing short shots to getting answers in minutes.”

Keiko Tanaka

Quality Engineering Manager, Apex Die Casting

“Our quality team used to rely on end-of-line inspection and gut feel. MoldSight gave us real-time visibility into every cavity on every cycle. It changed how we run the floor.”

David Brennan

Plant Manager, Great Lakes Molding

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