P-06·Predictive ML·AI-Enabled Production Systems

Brazing Furnace Optimization

ML models trained on furnace zone temperatures, belt speed and atmosphere against downstream leak-test results, recommending parameter adjustments to hold the optimal thermal profile as load and product mix vary.

Automotive ThermalHeat-Exchangers
On-prem or private cloudPilot in 4–8 wks
Brazing furnace thermal-profile dashboard showing setpoint versus actual zone temperatures with an AI zone adjustment
Outcomes

What changes on your line.

01

Reduced scrap and rework from weak or over-brazed joints

02

Lower energy per unit through tighter thermal-profile control

Integrations

What it connects to.

Furnace zone temperatures
Belt speed & atmosphere
Downstream leak-test results
Furnace PLC / SCADA
Data residency

Your data, your residency.

AI that runs within your firewall, with your total control. On-premise or private cloud is your call, and we engineer for either.

Edge gateways

Inference next to the camera or sensor, for sub-second decisions at the station.

On-premise

Line-side compute

One compact node per line, running inspection, counting and monitoring together.

On-premise

Private plant servers

Central models, dashboards and the copilot, inside your own network and under your own IT policies.

On-premise

Private cloud

Your own cloud tenancy, inside your security perimeter, when that suits your IT strategy better.

Private cloud
From pilot to production

From scoping call to a working pilot.

01

Assess & Design

A scoping call and a short plant walk-through to pick one line, one asset or one workflow, define success metrics, and confirm data access.

02

Pilot & Validate

A working pilot on your line within 4–8 weeks, validated against the agreed metrics with a measurable business case.

03

Scale & Govern

Roll out across lines and plants with qualification protocols, audit trails and change-control governance.

See what private AI can do for your plant.

Book a scoping call today.

Book a scoping call