All industries

Industrial & Manufacturing

Autonomous manufacturing, decided at the edge

Catch defects at line speed, act on failures before they stop the line, and move material without a driver. The AI does the work. The private network is what makes it dependable enough to trust on a production floor, and we survey, plan and build that layer ourselves without shutting the line down.

The end state

The plant that corrects itself

Within a few years the competitive plant will monitor its own machine health continuously, catch micro-defects optically at full line speed, and move material autonomously between cells. Operational technology and enterprise IT will meet over one dependable wireless layer instead of two systems bolted together. Getting there is less about ambition than ownership. Each layer depends on the one underneath, most modernization projects buy them from different vendors, and nobody owns the survey and the physical build it all sits on.

The AI layer

Where the AI does the work

AI on a plant floor is six separate jobs, not one model. Each has its own failure mode, and each depends on the network and the data underneath it.

  • Machine vision inspection

    Every part inspected at full line speed, against the same criteria on every shift.

  • Predictive condition models

    Drift in vibration and condition data becomes a work order days before the line stops.

  • Closed-loop process control

    Where a response is safe and provable, the process corrects itself without waiting for a person.

  • Inference at the edge

    Models run on hardware in your building, so nothing leaves the plant and nothing waits on a cloud region.

  • Fleet orchestration

    Fixed cells and mobile robots share one traffic plane, so expensive equipment spends less of the shift waiting.

  • Instrumented machine data

    We instrument the machines that matter first, so the data is already there when a model needs it.

Wherever your plant is starting from

Nobody goes from reactive maintenance to a self-correcting plant in one project. Each stage below is a working operation in its own right, and each one earns its keep before the next becomes worth doing.

  1. Legacy OT and constrained wireless

    Where you are

    Machines are wired or on plant Wi-Fi that struggles around heavy equipment. Maintenance is reactive: you find out something failed when the line stops.

    What we do

    We survey the plant, then agree a build sequence and safety plan with your operations team before anyone mobilizes. Private LTE and 5G coverage goes across the shop floor without interrupting active production, and we instrument the machines that matter so data starts accumulating before you need it.

  2. Connected plant, seeking visibility

    Where you are

    Equipment is connected and generating telemetry, but quality inspection is still manual and the data is not yet telling you anything ahead of time.

    What we do

    We deploy machine vision at the inspection points that matter and edge analytics on condition data, so defects are caught at line speed and failures are flagged before they happen. Mounts, lighting and cabling go in during agreed windows, so inspection points come online without stopping the line.

  3. Toward a self-correcting plant

    Where you are

    Vision and analytics are working, and you want the plant to respond on its own, not surface a dashboard for someone to act on.

    What we do

    We integrate autonomous mobile robotics for material movement, synchronize fixed cells with mobile fleets, and put closed-loop AI on the processes where automated response is safe and provable. Where that needs more compute at the edge, we build the room it lives in, up to full data center construction.

Survey, plan, build

Before the network, the site

Every deployment starts with what is on the ground, not what the drawings say. Three phases, each one leaving a document the next party can work from.

  1. Site survey

    What it covers

    RF walkthrough and coverage modeling, power and pathway audit, structural and mounting constraints, and an inventory of what is already installed.

    What you get

    A survey report with measurements a contractor can build from, not estimates that move once work starts.

  2. Health, safety and build planning

    What it covers

    Hazard identification, access routes, permits, shutdown and hot work windows, and a work sequence agreed with your operations team.

    What you get

    Crews that work safely around live production, on a schedule your plant managers signed off, not one handed to them.

  3. Build and data center construction

    What it covers

    Civils, cabling, cabinets, mounting, power and cooling, edge compute rooms, through to full data center fit-out.

    What you get

    One party accountable from the first survey to the day the network carries production traffic.

What we are usually called in to fix

Pick the one that sounds like your plant. These are the problems that bring manufacturers to us, and what we do about each one.

How Trilogy NextGen solves it

Edge AI on condition and vibration telemetry, modeling each asset's normal behavior so drift is flagged as a work order, not a stoppage.

Start with the line that costs you the most

Tell us which process hurts, and what your network and your site look like today. We will come back with a realistic first phase, not a transformation program.