Dovient

Plastics Manufacturing

A mold crash costs $50,000. A sensor alert costs nothing.

Dovient gives plastics manufacturers a maintenance copilot that monitors mold health, tracks extruder wear, and catches cycle time drift before it becomes scrap.

We'll get back within a business day.

The cost of failure

$50K–$200K

per mold crash

A mold crash doesn't just stop production. It destroys tooling that takes weeks to replace. Plants that shift to predictive maintenance cut unplanned downtime by 37% (Deloitte) and maintenance costs by 25% (McKinsey).

37%

less unplanned downtime

Deloitte, 2022

25%

lower maintenance costs

McKinsey, 2023

What we monitor

The equipment that keeps your production running

Injection Molding Presses

Injection Molding Presses

Hydraulic and electric presses. Cavity pressure monitoring, clamp force tracking, and cycle time analysis.

Extruders

Extruders

Single and twin-screw extruders. Barrel temperature monitoring, screw wear tracking, and melt pressure analysis.

Blow Molding Equipment

Blow Molding Equipment

Extrusion and injection blow molding. Parison monitoring, wall thickness tracking, and cooling cycle optimization.

Sound familiar?

Mold failures are catastrophic

A mold crash doesn't just stop production. It destroys tooling that costs $50K to $200K to replace and takes weeks to arrive. The downstream impact on customer orders and contract penalties compounds the direct cost.

Extreme conditions accelerate wear

Plastics processing operates at extreme temperatures and pressures. Extruder barrels, screws, and heater bands degrade faster than calendar-based schedules predict, and the first sign of wear is often defective product.

No time for maintenance windows

Demand spikes and tight delivery schedules leave no room for planned downtime. Maintenance gets deferred until something breaks, and by then the cost is 3 to 9x higher than a planned repair.

How Dovient works

An AI copilot that understands mold health, extruder wear, and cycle time optimization

Dovient connects to your existing equipment, CMMS, and sensor data. The AI agents learn your plant's patterns and proactively manage the work your team shouldn't have to do manually.

Mold cavity pressure and temperature monitoring

Agents track cavity pressure curves, temperature distribution, and fill patterns across every cycle. Mold wear is detected before it produces defective parts.

Mold wear detected before it produces defective parts.

Extruder screw and barrel wear tracking

Screw torque, barrel temperature profiles, and melt pressure are monitored continuously. Barrel replacement is planned weeks in advance instead of after a quality failure.

Extruder barrel replacement planned weeks in advance.

Cycle time drift detection for early quality warnings

The system detects subtle cycle time changes that indicate process drift. Operators are alerted before scrap rates climb.

Cycle time drift flagged before scrap rates climb.

Changeover optimization for multi-product runs

Changeover procedures are standardized and guided. Material purge sequences, temperature setpoints, and quality checks are automated for every product transition.

Changeover times reduced with standardized procedures.

Outcomes

What changes in your first 90 days

Mold wear discovered when parts fail quality inspection

Mold wear detected before it produces defective parts

Extruder barrel replaced after a quality failure

Extruder barrel replacement planned weeks in advance

Cycle time drift noticed when scrap bins fill up

Cycle time drift flagged before scrap rates climb

Changeover procedures vary by operator and shift

Changeover times reduced with standardized procedures

See it on your equipment

We'll walk you through a live demo configured for plastics manufacturing: mold monitoring, extruder analytics, and cycle time optimization. 30 minutes, no pitch deck.

Prefer to pick a time yourself? Book a demo directly