AI for manufacturing, advisory, never in control
OceanLab builds AI into quality and maintenance: checking every part on the line and spotting machines that are about to fail. The AI flags and explains; inspectors and engineers decide. Every example below is a product we built.
OceanLab product builds
AI products we designed and built in this industry. Each one is a full case study with screens, scope and the rules it was built for.
Parison - AI Visual Inspection for Glass Bottle and Jar Lines
Designed and built a clickable quality console for a glass container maker near Pune with 4 furnaces and 12 forming lines: cameras and edge models classify every bottle and jar at the cold end, uncertain images go to a person, rejects are traced to the mould cavity that made them, and every decision shows the rule behind it.
Sheave - Predictive Maintenance Platform for a Pulp and Paper Mill
Designed and built a clickable predictive maintenance console for an integrated pulp and paper mill in Ontario: anomaly scores that explain which signals moved, an alert queue sorted by consequence, remaining useful life shown as a band against planned shutdowns, and work requests sent to the CMMS - advisory only, never controlling a machine.
Where AI earns its place
Each use case names the builds that did it.
Visual inspection
Cameras and edge models classify every bottle and jar at the end of the line, and uncertain images go to a person.
Tracing rejects
Rejects are traced back to the mould cavity that made them, with the rule behind every decision shown.
Predictive maintenance
Anomaly scores that explain which signals moved, an alert queue sorted by consequence and remaining useful life shown against planned shutdowns.
Work requests
Alerts become work requests in the maintenance system, advisory only and never controlling a machine.
What to plan for
The rules that shape AI in this industry. General information, not legal advice: check with your own counsel.
Advisory, not control
Uncertain goes to a person
Show the rule
Monitoring people at work
From one workflow to production
- 01
Pick the workflow
We start from one workflow your team wants off its plate and agree what a working result looks like.
- 02
Clickable AI prototype
Your team tries the flow on a clickable prototype before any production code is written.
- 03
Production build
We build the production version, with the approval steps and records your industry needs.
- 04
Launch and improve
It goes live in your team's hands, and we tune it as real work runs through it.
Priced either way, whichever suits the work: outcome-based, paid per milestone, or hourly at $30-50 depending on role and seniority. More on AI automation →
Questions teams ask
What can AI do for a manufacturer?
Check every part on the line with cameras and send unsure images to a person, trace rejects to the tool that made them, and spot machines drifting toward failure with the reasons shown. Each of these is a product OceanLab built.
Does the AI control the machines?
No. In our manufacturing builds the AI is advisory only. It flags and recommends, and people decide what happens on the line.
How is it priced?
Either way, whichever suits the work: outcome-based, where you pay per milestone, or hourly at $30-50 depending on role and seniority.
Keep exploring
Are you an AI lab looking for human training or evaluation data? That is a separate offer, OceanLab Labs.
