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Manufacturing

Manufacturing software that shows output, stock and quality during the shift

We build production reporting, inventory and traceability systems, AI visual inspection and maintenance tools that connect to the machines, spreadsheets and ERP you already have. Start with the data you can capture today, then add sensors, cameras and models where they earn their place.

Overview

Technology for manufacturers

Manufacturing software records what happens on the factory floor and turns it into decisions: production and downtime capture, inventory and batch traceability, quality checks, machine data collection and maintenance planning, connected to the ERP that holds orders and costs. AI adds camera-based inspection and early warnings of machine trouble where the data supports them.

Much of a factory's operational data never leaves the floor. Output is written on clipboards, stoppage reasons are remembered rather than recorded, stock is counted properly only at stocktake, and quality problems surface when a customer returns a batch. By the time the figures reach a spreadsheet, the shift that produced them has gone home.

We build the software layer between the line and the management meeting: line-side screens where operators log output, scrap and stoppages against the job; inventory and batch tracking from goods-in to dispatch; integrations with PLCs, machine controllers and your ERP where they exist; camera-based inspection for visible defects; and maintenance tools that use machine history to plan work before something breaks.

Projects begin with one line, one product family or one report management already relies on. We review what data exists, what can be captured cheaply and what genuinely needs new hardware, and we say plainly where AI helps and where a well-designed form and dashboard will do the job. Operators try working software on their own line every one to two weeks, and one named lead owns the written scope for each phase. The approach suits plants in the UK, Pakistan, Saudi Arabia and international markets, from textiles and packaging to food and engineered components.

Challenges

What manufacturers are up against

  • Production figures written up after the shift

    Output, scrap and downtime are recorded on paper or end-of-shift spreadsheets, so supervisors manage today's line on yesterday's numbers and problems repeat before anyone sees the pattern.

  • Stoppages that are noticed but never coded

    Lines stop for changeovers, material shortages or one unreliable machine, but without consistent reason codes the recurring causes never show clearly in the data.

  • Stock that only adds up at stocktake

    Raw materials, work in progress and finished goods sit in separate spreadsheets, so one line stops for a missing component while other items build up in surplus.

  • Defects caught after the batch is packed

    Visual checks rely on sampling and individual judgement, so a fault introduced early in a run can reach packing, or the customer, before it is spotted.

  • Maintenance triggered by breakdowns

    Machines are serviced on a fixed calendar or after they fail, while the history that could warn of trouble sits in a logbook, a controller or one technician's memory.

  • An ERP that cannot see the shop floor

    The ERP holds orders and costs but not what is happening on the line, older machines have no network connection, and planning still runs on a spreadsheet or an ageing in-house database that one person understands.

What we build

Technology solutions for this sector

  • Shop-floor data capture app

    Tablet and mobile screens at each line where operators record output, scrap, stoppage reasons and changeovers against the work order, using barcode scans and short pick lists instead of free text.

  • Production reporting and OEE dashboards

    Live views of output against plan, downtime by reason, scrap by product and shift handover summaries, with OEE calculated from definitions of availability, performance and quality agreed with your team.

  • Inventory, batch and traceability system

    Goods-in, stock locations, work in progress, finished goods and dispatch tracked by barcode or QR label, with lot links that trace a finished item back to its materials, machine and shift.

  • AI visual inspection station

    A fixed camera with controlled lighting at a defined point on the line, a model trained on your own images of good and defective parts, and a pass, fail or uncertain result sent to a screen, reject mechanism or log.

  • Machine data and ERP integration

    Gateways that read counters and run states from PLCs, machine controllers or retrofit sensors, and services that sync orders, material consumption and completions with your ERP so reports stop depending on manual exports.

  • Condition monitoring and predictive maintenance

    Vibration, temperature, current or cycle data combined with maintenance records to flag machines drifting from normal behaviour, starting with trend alerts and adding predictive models once enough history exists.

  • Quality checks and non-conformance tracking

    In-process check sheets on tablets that record measurements against tolerances, raise a non-conformance report when a reading falls outside limits, and track the investigation and corrective action through to sign-off by your quality team.

AI visual inspection and maintenance alerts support your quality and safety procedures; they do not replace them. Results are reviewed by qualified staff, any connection to machine controls is designed with your engineers and follows your site safety rules, and we can work within the quality systems and customer requirements you already operate under.

Typical projects

Where we usually start

  • 01A packaging plant replaces paper production sheets with line-side tablets, so supervisors see output, scrap and stoppage reasons during the shift instead of the following morning.
  • 02A components manufacturer adds a camera inspection station at final assembly that checks for missing parts and wrong labels, with uncertain items set aside for a quality inspector.
  • 03A textile mill tracks yarn and fabric lots from goods-in to dispatch, so a customer complaint can be traced to the batch, machine and shift involved.
  • 04A maintenance team fits vibration and temperature sensors to its most critical motors and receives alerts when readings trend away from normal, alongside its planned maintenance schedule.
  • 05A food producer connects shop-floor completions to its ERP, so stock levels and order status update as production is booked rather than at month end.

Manufacturing FAQ

Frequently asked questions

No. Most manufacturers can start with what they already have: operator entries on tablets, barcode scans, ERP data and any machine counters that are already accessible. That alone usually shows where time and material are being lost. Sensors and direct machine connections are then added where manual recording is unreliable or the line runs too fast to log by hand, so spending on hardware follows a demonstrated need rather than coming first.

Start your project

Tell us what you're building.

Share the problem, the systems involved and where you want to be. A senior engineer replies with honest advice on scope, architecture and the fastest safe path to production.