Industrial Software & Dashboards Tamil Nadu | MES Integration & IoT

The problem

Reports that stop at the total

Most plants are not short of data. The MES prints its reports, the line equipment logs to its own console, quality keeps a spreadsheet — and none of it answers the question the plant head asks on Monday morning. Which line. Which shift. Which defect. And is it getting worse.

What we get called about:

Reports that stop at the totalA number with no way to open it up.

Data trapped in equipmentEvery machine with its own console, its own format, its own vendor.

Manual re-entrySomeone reading figures off one screen and typing them into another, with the errors that follow.

Findings that arrive too lateBy the time the report is compiled, the shift that caused it has gone home.

Cloud policy blocking the fixOperational data that is not permitted to leave the plant.

Nobody to build itThe MES vendor quotes a change request, internal IT is committed elsewhere, and the requirement is too specific for anything off the shelf.

The gap is rarely the system. It is the layer nobody owns — between the equipment producing the data and the person who has to act on it.

// See

Dashboards & Reporting

Drill-down views that go from a plant-level number to the individual defect, shift or machine behind it.

The value of a dashboard is not the headline number — everyone already knows the headline number. It is whether you can click it. We design the drill path first: total, line, shift, station, defect code — so a morning review ends in a decision rather than a request for another report.

Drill-down analytics

From plant-level totals to the individual defect, shift or machine, in as many steps as the question needs.

Real-time visibility

Live production, quality and downtime views — on the floor and in the office, on the same numbers.

Beyond stock reporting

The insights your existing MES was never built to show, without replacing the MES.

// Connect

Middleware & Integration

Scanners, printers, PLCs and controllers wired into the systems that need what they produce.

Integration is judged on what happens when something goes wrong, not when everything goes right. A misread, a network drop mid-transaction, a duplicate scan, an operator who scans the same box twice — handling those cases is most of the work, and the whole reason to hire someone who has done it before.

Device-to-system plumbing

Scanners, printers, PLCs and controllers connected to the applications that consume their output.

MES & ERP integration

Clean, validated data moving between line equipment and business systems, in both directions.

Validation & interlocks

Logic that checks, alerts and can stop the line before a defect ships — with a controlled manual override.

// Sense

Industrial IoT

Custom IoT built on intranet architecture — sensitive operational data stays inside your network.

Most industrial IoT platforms assume your data can go to a public cloud. In a great many plants it cannot, whether for policy, for customer contract, or simply because the board would rather it did not. We build on intranet architecture, so monitoring, alerting and remote control all work without anything leaving the site.

Intranet architecture

Operational data stays internal. No public cloud dependency, no third-party data processor to justify.

Web SCADA

Monitoring and control dashboards, browser-based, usable on desk and on device.

Vendor-agnostic control

Mixed equipment brought into one interface, with alerting and remote start/stop from a single control point.

Method

How We Deliver

The same four steps on every engagement, whatever its size.

Assess

We sit with the people who would actually use it and find where the data really lives — which is rarely where the documentation says.

Design

The drill path, the data model, and the decision about what happens when two devices disagree. Agreed before anything is built.

Implement

Built and deployed on your infrastructure, then run in parallel with the existing process until the numbers reconcile.

Operate

Support, and changes as the line changes — because it will. Documentation and access credentials are yours from day one.

Run in parallel until the numbers reconcile — we would rather prove the system against your existing process than ask you to trust it.

Proven results

Case Studies

Client names withheld on request. Each started as an operational problem, not a product enquiry.

Case 02 · Industrial IoT

Client Confidential

Intranet-based remote control across mixed equipment

In a plant where operational data is never exposed publicly, the client needed a secure remote control system for motors across the site — from multiple vendors, each with its own interface.

2MB built an intranet-based system that lets operators monitor motor status and start or stop equipment remotely, with every machine integrated into a single interface regardless of make. Monitoring and control now run from one control centre, improving visibility and response time while all data stays inside the internal network.

Outcome: Centralised control of mixed-vendor equipment, with no external data exposure.

Software Solutions →

Case 03 · Software & Dashboards

Client Confidential

Drill-down defect analytics on an existing MES

A manufacturer running an established MES had reporting built in, but no way to go beyond the totals it produced and no drill-down analysis. Defect counts were visible; the reasons behind them were not.

2MB implemented a dashboarding layer on top of the existing system, adding advanced drill-down views of defect data and real-time visibility into where and when defects occur. The MES was not replaced. The result is enough depth to support root-cause analysis rather than only reporting the count.

Outcome: Real-time defect visualisation with drill-down to source.

Software Solutions →

Case 04 · aidc

Client Confidential

End-to-end traceability for multi-box packing

A manufacturer packing multiple small boxes inside a single outer box needed a simple way to retain the identity and quantity of every box while creating one traceable record for the outer package.

2MB implemented a QR-based packing solution that scans each small box, captures its ID and quantity, and generates a single outer-box QR containing all the box records and the calculated total. When scanned, the system can independently verify the quantities and compare the calculated total against the stored value.

Outcome: Single-QR traceability with automatic quantity verification.

Software Solutions →

Commercial

Three Ways
To Work With Us

Choose the delivery model that fits the problem, not the other way round.

Project delivery

Defined scope, timeline and milestones. Best for a specific dashboard, integration or IoT build.

Managed services

Ongoing support and change as the process evolves. Best where the system has to keep pace with the line.

Consulting

Specialist expertise for a targeted problem — data model, architecture, or working out why two systems disagree.

Questions

Before You Call

Will this work with our existing MES, or do we have to replace it?

It works with it. Almost all of our dashboard work sits on top of a system the client already runs and intends to keep — we read from it rather than replace it. Replacing an MES to get better reporting is rarely the cheapest way to get better reporting.

Does our data have to go to the cloud?

No. We build on intranet architecture by default, so operational data stays inside your network. If you would rather host in a cloud you control, that works too — but it is your decision, not a constraint of the platform.

How quickly would we see something working?

The assessment produces a data map and an agreed drill path first; the first working dashboard follows shortly after. We would rather show you one screen that is right than four that need re-explaining.

What happens when we add a line or change the process?

Expected — that is what the managed-services model is for. The data model is built to have lines and stations added without a rebuild, and changes are handled as part of the ongoing engagement rather than as a fresh project each time.

Can operators use it on the floor, or is it a desk tool?

Both. Dashboards are browser-based and laid out for a shop-floor screen as well as a desk — the floor view is deliberately simpler, because a display someone glances at while walking past has a different job from one an engineer studies.

Who owns the software at the end of the project?

You hold the deployment, the documentation and the access credentials from day one, and it runs on your infrastructure. We confirm licensing terms in writing before work starts, so there is no ambiguity later.

The data already exists. The view doesn’t.

Reports that stop at the total