Every machine.
Every shift.
One clear picture.
Your production, machines, quality and people.
Connected in one manufacturing control layer.
See what’s happening. Understand what needs attention.
Keep your factory moving.

YOUR VISIBILITY SHOULD TOO.
Your factory already
generates data.
Put it to work.
When plans live in Excel, updates live in WhatsApp, and machine data lives nowhere, the whole picture arrives too late. Poldu is designed to bring those pieces into one operating view.
One system.
The whole operation.
Explore the work behind every production number.
Select an area to see how it connects.

A work order comes in.
Everyone knows what’s next.
Follow the job from customer demand to dispatch.
One work order. A traceable execution story.
Good and rejected quantities remain traceable to the plan, machine, shift, employee, and production entry.
Don’t chase updates.
See the shop floor.
Running, idle, warning, or breakdown.
Go from a machine’s status to its operating context.
Protect what you make.
Look after what makes it.
Connect inspections to production.
Connect tooling care to actual usage.
Catch the issue.
Close the loop.
Configure checks for your product and process. Record the result, route rejected pieces, and keep rework visible.
Example parameters for a molded part. Click the surface result to explore pass / rework.
Every shot
leaves a record.
shots remaining
Illustrative 70% review threshold. Life and maintenance tracking—not a prediction of tool failure.
Bring the factory floor
into Poldu.
A machine cycle is more than a signal. With the right connection and context,
it becomes a production record, a status update, or a reason to act.
A cycle. A piece. A die shot.
They aren’t the same number.
For a mold with multiple active cavities, one machine cycle may produce several pieces. Tooling usage still records the shot.
Conceptual arithmetic, not a verified Poldu calculation. Actual good quantity depends on active cavities, rejects, validation rules, and the configured implementation.
Enter a whole number of cycles between 1 and 1,000,000.
Threshold crossed → alert raised.
Route the temperature exception to the responsible operator for investigation.
Sensor limits are examples, not engineering safety limits. Thresholds must be validated for the specific equipment and process.
Device identity → company → machine → telemetry. The design uses authenticated device access and machine mapping. Protocols, API-key handling, buffering, and processing behavior require implementation and site validation. No real credentials are shown.
Your industry has its own language.
Your system should understand it.
These configurations explain how manufacturing requirements differ. They are not verified prebuilt templates, database features, or regulatory compliance claims.
From the shop floor.
To your next decision.
Explore a working interface preview.
Change the shift, inspect the numbers, find the priority.
Your factory at a glance.
Here’s how the floor is performing this shift.
2 operating priorities: investigate the temperature exception on IM-08 and check the breakdown on CUTTING-02.
Active work orders
View workflow ↗| Work order | Product | Progress | Status |
|---|---|---|---|
| WO-0048 | Modular kitchen | 52 / 80 | In production |
| WO-0049 | Cabinet panel | 460 / 500 | In quality check |
| WO-0050 | Drawer assembly | 50 / 200 | Material review |
Recent activity
SAMPLE FEEDQC batch cleared Cabinet panel · 2 min ago
Service threshold reachedDie A-104 · 8 min ago
24 IoT devices onlineGateway health · 10 min ago
Swipe to explore the full dashboard. Change the shift or chart to interact.
THE VIEW THAT MATTERS TO YOU.
Different responsibilities.
The same factory.
Start with your reality.
Build a connected workflow.
Map how your factory actually runs.
Then connect the next part of the picture.
Practical questions.
Clear answers.
Poldu’s product vision is a shared operating layer for production, machines, quality, people, tooling, and industrial data.
The screens on this website are interactive product concepts. Manufacturing integrations and workflows must be confirmed against your deployment. Use the enquiry form to prepare a demo email for the team.
What is a Manufacturing Execution System (MES)?+
An MES connects production plans with what actually happens on the factory floor. It brings work orders, machine activity, production quantities, people, quality checks, and losses into one operational record so teams can understand progress and follow up on exceptions.
Who is Poldu designed for?+
The product concept is intended for manufacturing businesses and the people who run them: factory owners, plant managers, production teams, quality leads, maintenance teams, and supervisors. A walkthrough should confirm fit against your actual process.
Can Poldu work across different industries?+
The proposed operating model can be adapted around different products, production units, processes, and QC parameters. The eight sector examples on this website are illustrative configurations, not verified prebuilt industry templates or compliance claims.
How would machine data reach Poldu?+
The conceptual flow is machine → PLC or sensor → device or gateway → authenticated API → company and machine mapping → telemetry processing. Protocol compatibility, sensor quality, buffering, and processing rules must be confirmed for each implementation.
Does all production have to come from IoT?+
No. The product architecture described in the brief includes production entries alongside IoT concepts. Manual entry and machine integration can be considered during discovery; which workflows are available must be confirmed against the deployed product.
How does quality management fit into production?+
The intended workflow links an inspection to a production entry, checks the configured product parameters, and records pass, rejection, or rework. The specific checks and release rules depend on the manufacturing process.
What does maintenance and tooling tracking cover?+
The concept includes downtime incidents, service history, tool and die usage, shot counts, and maintenance thresholds. A life-used indicator tracks recorded usage; it does not predict when a tool will fail.
How are companies, tenants, and roles handled?+
The supplied product brief describes a tenant-based structure with users, departments, roles, permissions, and audit logs. Tenant isolation and MES authorization cannot be verified from this marketing codebase and must be reviewed in the actual product.
Are these dashboards showing real factory data?+
No. Every machine status, counter, chart, work order, and sensor reading on this public website is an illustrative product preview. No factory equipment is connected to this website.
Does the website include live AI or predictive maintenance?+
No. The product vision includes contextual insights and a path toward predictive use cases, but this website does not run an AI service or predict equipment failures. Such capabilities require actual implementation, suitable historical data, and site validation.
See your factory
through Poldu.
Tell us how your manufacturing operation works.
Let’s explore where better visibility could make the difference.
ONE CONTROL LAYER.