From the first architecture review to a production incident at 2am, the same people stay on your account. No handoffs between departments, no re-explaining your business to a new team every quarter.
Most people arrive with a symptom rather than a solution. Pick whichever sounds closest to your situation.
Within Custom Development and Digital Transformation, this is where we spend most of our engineering time. Most factories already have the data — it just sits in four registers that never agree with each other. We build the system that joins them, designed for people wearing gloves rather than office workers.
Replaces the paper production log. Operators record output, downtime, and scrap from a tablet at the line, and the plant manager sees it while the shift is still running rather than the next morning.
Inspection checklists that must be completed before a batch moves on, with defects logged against the batch, the shift, and the machine — so patterns surface before the customer finds them.
Raw material in, material issued to each line, finished goods out. Consumption is deducted automatically when production is logged, so stock stays close to accurate without a manual count.
Clock-in via badge scan or PIN on a shared tablet — no biometric hardware needed to start. Because attendance and production share a record, you can finally compare shift against shift on real output.
Modules can be adopted one at a time. Most factories start with production and attendance.
Five stages from first floor visit to retiring the paper register. It plays automatically — pause it or step through at your own pace.
The most common reason factory software fails is not the software. It is that the person on the line quietly goes back to the paper register because the screen was designed for an office.
Every factory is different, but not every difference needs custom code. We use three tiers, and we tell you honestly which one your requirement actually needs.
Your product names, process stages, shift patterns, checklist items, and language — changed through settings. No code, no deployment.
Alert the plant head if scrap crosses 5%. Block a batch until inspection is signed. Notify the store below reorder level. Built on a shared rule engine.
Genuinely unique needs — an ERP or Tally integration, a machine data feed. Built as a plug-in to the same platform, so you keep one login and one database.
We will tell you when tier 1 solves what you thought needed tier 3. It is cheaper for you and easier for us to support.
We walk your floor, watch a full shift, and configure the platform to your actual stages, products, and shift patterns. No development yet — just fitting to how you already work.
Production and attendance go live on a single line, running in parallel with the paper register. We sit with operators during the first shifts and fix what annoys them immediately.
Once the system and the register agree, the register goes. Then inventory and quality are added, and we roll to remaining lines with a team that has already used it.
Before anyone writes code, we work out whether code is even the answer. We audit what you already run, interview the people who use it daily, and give you a straight recommendation — including when that recommendation is to buy something off the shelf, fix a process, or do nothing yet.
Web and mobile applications built around your actual workflow rather than bent to fit someone else's product. We ship working software every two weeks, so you watch it take shape instead of waiting months for a reveal — and you can change direction while changing direction is still cheap.
Our deepest focus within this practice is shop-floor systems — MES, QMS, WMS, and WFM — built as a modular platform rather than four disconnected tools.
Migration and architecture across AWS, Azure, and GCP — sized for the load you actually have rather than the one on the slide. Most cloud bills we inherit are larger than they need to be, and the first thing we do is find out exactly where the money goes.
Pipelines and dashboards your team actually opens. Most reporting projects fail because they answer questions nobody asked — so we start with the decisions you make every week, then build backwards to the data those decisions genuinely need.
Replacing manual and legacy processes in stages, with the old system running until the new one has earned its retirement. Big-bang cutovers are the single most common reason transformation programmes fail — we run both in parallel until the numbers agree.
Monitoring, patching, and incident response for systems already in production — whether we built them or inherited them from someone else. A contracted SLA, a support line that actually picks up, and quarterly reviews where we tell you honestly what is ageing badly.
Different problems need different commercial shapes. We recommend the one that fits, not the one that bills most.
| Fixed-scope project | Dedicated pod | Managed retainer | |
|---|---|---|---|
| Best when | Requirements are clear and stable | Priorities shift as you learn | The system is already live |
| Billing | One agreed price | Monthly per pod | Monthly retainer + SLA |
| Typical length | 8–24 weeks | 3 months minimum | Rolling annual |
| Scope changes | Via written change order | Freely, each sprint | Within agreed capacity |
| Named team | Yes | Yes | Yes, incl. on-call |
| Response SLA | Business hours | Business hours | 24/7 contracted |
| Exit | On delivery | 30 days notice | 60 days notice |
Knowing where a firm stops is more useful than another list of things it claims to be good at.
We pick tools for how long they will stay maintainable, not for how new they are.
Yes, and most clients do. A common path is a short consulting engagement, then development, then a managed retainer once the system is live. Each stage stands on its own — you are never committed to the next one.
Often. We can run as a self-contained pod alongside your team, or embed with them on a shared codebase. What we ask for is clarity on who owns which decisions, agreed before work starts.
On a fixed-scope project we raise a written change order so cost and timeline impact are visible before anything moves. On a dedicated pod, changing direction each sprint is the point of the model — no change orders needed.
This is the most important question for any shop-floor system, and the reason we pilot on one line first. Screens use large buttons, dropdowns instead of typing, and local language. If operators are still avoiding it after two weeks, that is a design problem on our side and we fix it before rolling further.
No. A shared Android tablet per line and printed badge cards are enough for a pilot. Sensors, machine data feeds, and biometric attendance are all possible later, but they are upgrades rather than requirements — and we would rather prove the system works before you spend on hardware.
You do, in full, from the first commit. You get repository access throughout the build rather than a handover at the end, along with infrastructure definitions and documentation.
You don't need a specification to start a conversation. Describe the problem and we'll tell you what kind of engagement actually fits.